Description:FIELD OF DISCLOSURE
[0001] The present disclosure relates generally relates to healthcare technology, more specifically, relates to automated disease detection and health monitoring system and method thereof.
BACKGROUND OF THE DISCLOSURE
[0002] The automated disease detection and health monitoring system and method thereof are ensuring real-time health assessment by continuously monitoring physiological parameters such as oxygen levels, pressure variations, and temperature fluctuations through integrated sensors. The automated disease detection and health monitoring system and method thereof are enhancing early detection of potential health conditions by transmitting collected health data to a smart phone application using a Bluetooth connection protocol, enabling users to receive instant feedback and take necessary medical actions. The automated disease detection and health monitoring system and method thereof are eliminating the need for manual health tracking by automating the analysis of urine strip readouts, allowing medical professionals to promptly identify abnormalities and recommend further diagnostic procedures.
[0003] The automated disease detection and health monitoring system and method thereof are improving public hygiene awareness by utilizing RFID readers, scent sensors, dirt sensors, and sound sensors to analyse restroom cleanliness and ensure optimal sanitation conditions. The automated disease detection and health monitoring system and method thereof are providing a proactive approach to disease prevention by ensuring that users are alerted to potential hygiene risks based on real-time data analysis. The automated disease detection and health monitoring system and method thereof are supporting large-scale implementation in public restrooms, medical facilities, and households, ensuring widespread adoption and effective disease prevention through intelligent monitoring and automated detection.
[0004] The automated disease detection and health monitoring system and method thereof are ensuring long-term usability by operating in an IPX6-rated environment, which protects the system from water exposure and ensures durability in wet conditions. The automated disease detection and health monitoring system and method thereof are optimizing energy efficiency by utilizing low-power Bluetooth communication to transmit health data, ensuring continuous monitoring without excessive power consumption. The automated disease detection and health monitoring system and method thereof are reducing medical costs by enabling preventive healthcare monitoring, minimizing the need for frequent hospital visits, and allowing early detection of diseases for timely intervention.
[0005] Existing health monitoring systems are relying on manual urine analysis, which is increasing the chances of human error and delaying early disease detection. The dependence on laboratory-based testing is restricting immediate access to health assessments, making it difficult for individuals to track their health status in real-time. The absence of an automated mechanism is preventing continuous monitoring, which is crucial for detecting rapid changes in physiological parameters and providing timely health alerts.
[0006] Conventional restroom hygiene management systems are failing to provide real-time cleanliness assessments, leading to unsanitary conditions that are contributing to the spread of infectious diseases. The lack of integrated sensors is preventing accurate detection of contamination levels, making restroom maintenance inefficient and unreliable. The existing solutions are not incorporating real-time data transmission, making it difficult for users and administrators to receive timely notifications about hygiene risks and necessary maintenance actions.
[0007] Traditional biometric health monitoring devices are relying on complex installation procedures and require specialized knowledge for operation, making them inaccessible to a large segment of the population. The high cost of implementation is restricting widespread adoption, limiting the availability of advanced health monitoring solutions in lower-income and rural areas. The lack of smart connectivity is preventing seamless integration with modern healthcare applications, making it difficult for users to store, access, and share their health data efficiently.
[0008] Thus, in light of the above-stated discussion, there exists a need for an automated disease detection and health monitoring system and method thereof.
SUMMARY OF THE DISCLOSURE
[0009] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0010] According to illustrative embodiments, the present disclosure focuses on an automated disease detection and health monitoring system and method thereof which overcomes the above-mentioned disadvantages or provides the users with a useful or commercial choice.
[0011] An objective of the present disclosure is to ensure real-time disease detection by analysing urine samples with integrated sensors, providing immediate health assessments without the need for laboratory-based testing.
[0012] An objective of the present disclosure is to enhance restroom hygiene management by incorporating automated monitoring systems that detect contamination levels and provide alerts for necessary maintenance actions.
[0013] Another objective of the present disclosure is to improve the accuracy of health diagnostics by utilizing advanced touch sensors, including oxygen, pressure, and heat sensors, to monitor physiological parameters with high precision.
[0014] Another objective of the present disclosure is to facilitate seamless data transmission through Bluetooth connectivity, allowing users to receive and track their health status directly on a smart phone application.
[0015] Another objective of the present disclosure is to encourage public awareness regarding hygienic restroom usage by implementing an intelligent system that provides real-time feedback and promotes sanitary habits.
[0016] Another objective of the present disclosure is to reduce the spread of infections by ensuring that restroom environments remain clean and monitored through continuous automated assessments of hygiene conditions.
[0017] Another objective of the present disclosure is to optimize water and resource usage in smart restrooms by integrating sensors that analyse user behaviour and provide recommendations for efficient consumption.
[0018] Another objective of the present disclosure is to support proactive healthcare by allowing early detection of potential diseases based on urine composition analysis, enabling timely medical intervention.
[0019] Yet another objective of the present disclosure is to provide an affordable and accessible health monitoring solution that integrates with existing restroom infrastructure, making advanced diagnostics available to a broader population.
[0020] Yet another objective of the present disclosure is to enable secure storage and retrieval of health-related data through a structured database, ensuring users can track and manage their medical history for long-term health monitoring.
[0021] In light of the above, in one aspect of the present disclosure, an automated disease detection and health monitoring system is disclosed herein. The system comprises a user device configured to enable user interaction, data access, and remote health monitoring, wherein the user device comprises. The system includes a smart toilet assembly configured to facilitate urine sample collection, real-time health monitoring, and automated disease prediction. The system also includes a sensor operatively connected to the user device and configured to detect physiological, biochemical, and environmental parameters of a urine sample, wherein the sensor comprises. The system also includes an electrochemical sensor configured to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample for disease identification. The system also includes a spectroscopic sensor configured to analyse urine composition using optical absorption properties for identifying abnormalities. The system also includes an oxygen sensor configured to detect oxygen concentration variations in the urine sample for metabolic health evaluation. The system also includes a pressure sensor configured to measure urine flow rate and bladder functionality for urological health assessment. The system includes a temperature sensor configured to measure temperature variations in the urine sample for infection detection. The system also includes an odour sensor configured to analyse volatile organic compounds present in the urine sample to detect infections and metabolic disorders. The system also includes a colour sensor configured to assess urine colour variations for hydration status and disease identification. The system also includes a processing unit operatively connected to the sensor and configured to process real-time sensor data using machine learning algorithms to identify potential diseases, track user health trends, and generate personalized health recommendations, wherein the processing unit compromise. The system also includes a communication module operatively connected to the processing unit and configured to securely transmit processed urine analysis data to a remote server, a mobile application, and authorized healthcare providers communication protocols. The system also includes a hygiene management module operatively connected to the smart toilet assembly and configured to maintain sanitation and prevent contamination. The system also includes a self-cleaning module configured to execute an automated UV sterilization process after urine sample collection to maintain hygiene. The system also includes a water-saving module configured to optimize water usage based on detected urine volume and hygiene parameters. The system also includes a user interface operatively connected to the user device and the processing unit and configured to display analyzed urine test results, disease predictions, and health alerts through a graphical dashboard accessible via a mobile application. The system also includes a server assembly operatively connected to the processing unit, and configured to store, retrieve, and analyse historical urine analysis data, wherein the server assembly comprises. The system also includes a data storage module operatively connected to the server assembly and configured to store patient health records, detected disease patterns, and personalized health recommendations. The system also includes a retrieval module operatively connected to the server assembly and configured to access stored urine analysis data for historical comparisons, pattern recognition, and predictive health analytics. The system also includes a communication network operatively connected to the smart toilet assembly, the processing unit, and the server assembly, configured to facilitate real-time data exchange.
[0022] In one embodiment, the processing unit is configured to implement a machine learning-based anomaly detection algorithm that continuously analyzes urine sample data collected from the sensor to identify early-stage diseases, wherein the processing unit generates real-time health alerts based on detected abnormalities.
[0023] In one embodiment, the self-cleaning module in the hygiene management module is configured to activate an ultraviolet sterilization mechanism and an automated flushing system upon urine sample collection to eliminate microbial contamination and ensure a sanitary toilet environment.
[0024] In one embodiment, the water-saving module is configured to dynamically adjust water flow and flushing intensity based on urine volume detected by the pressure sensor to optimize water consumption while maintaining hygiene standards.
[0025] In one embodiment, the communication module is configured to transmit encrypted urine analysis data from the processing unit to the server assembly and the user device using a secure wireless protocol, ensuring data privacy and real-time remote health monitoring.
[0026] In one embodiment, the user interface is configured to present real-time urine analysis results, detected health conditions, and historical trends using an interactive dashboard, wherein the user interface allows users to share diagnostic reports with authorized healthcare professionals for remote consultation.
[0027] In light of the above, in one aspect of the present disclosure, a method for automated disease detection and health monitoring is disclosed herein. The method comprises collecting a urine sample and configured for automated acquisition and health monitoring. The method includes detecting biochemical parameters using the sensor module. The method also includes processing urine data for executing AI-based disease prediction algorithms. The method also includes transmitting analyzed data for urine records and health trend analysis. The method also includes displaying results on the user interface providing health alerts and telemedicine access. The method also includes ensuring hygiene and efficiency for UV sterilization and flushing. The method also includes facilitating remote monitoring for real-time data exchange with healthcare providers.
[0028] In one embodiment, the step of detecting biochemical parameters using the sensor module comprises utilizing an electrochemical sensor to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample, wherein the measured data is transmitted to the processing unit for further analysis.
[0029] In one embodiment, the step of processing urine data for executing AI-based disease prediction algorithms comprises applying machine learning models in the processing unit to compare real-time urine composition data with historical health records stored in the server assembly to generate predictive health insights and early disease alerts.
[0030] In one embodiment, the step of ensuring hygiene and efficiency for UV sterilization and flushing comprises activating the self-cleaning module upon urine sample collection, wherein the ultraviolet sterilization mechanism and automated flushing system eliminate microbial contaminants and optimize water usage based on urine volume detected by the pressure sensor.
[0031] These and other advantages will be apparent from the present application of the embodiments described herein.
[0032] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0033] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0034] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0035] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0036] FIG. 1 illustrates a block diagram of an automated disease detection and health monitoring system, in accordance with an exemplary embodiment of the present disclosure;
[0037] FIG. 2 illustrates a flow chart of a method for automated disease detection and health monitoring, in accordance with an exemplary embodiment of the present disclosure;
[0038] FIG. 3 illustrates a perspective view of smart toilet system for automated urine analysis, in accordance with an exemplary embodiment of the present disclosure.
[0039] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0040] The automated disease detection and health monitoring system and method thereof is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0041] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0042] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0043] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0044] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0045] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0046] Referring now to FIG. 1 to FIG. 3 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of an automated disease detection and health monitoring system, in accordance with an exemplary embodiment of the present disclosure.
[0047] The system 100 may include a user device 102 configured to enable user interaction, data access, and remote health monitoring, wherein the user device 102 comprises, a smart toilet assembly 104 configured to facilitate urine sample collection, real-time health monitoring, and automated disease prediction, a sensor 106 operatively connected to the user device 102 and configured to detect physiological, biochemical, and environmental parameters of a urine sample, wherein the sensor 106 comprises, an electrochemical sensor 108 configured to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample for disease identification, a spectroscopic sensor 110 configured to analyse urine composition using optical absorption properties for identifying abnormalities, an oxygen sensor 112 configured to detect oxygen concentration variations in the urine sample for metabolic health evaluation, a pressure sensor 114 configured to measure urine flow rate and bladder functionality for urological health assessment, a temperature sensor 116 configured to measure temperature variations in the urine sample for infection detection, an odour sensor 118 configured to analyse volatile organic compounds present in the urine sample to detect infections and metabolic disorders, a colour sensor 120 configured to assess urine colour variations for hydration status and disease identification, a processing unit 122 operatively connected to the sensor 104 and configured to process real-time sensor data using machine learning algorithms to identify potential diseases, track user health trends, and generate personalized health recommendations, wherein the processing unit 122 compromise, a communication module 124 operatively connected to the processing unit 122 and configured to securely transmit processed urine analysis data to a remote server, a mobile application, and authorized healthcare providers communication protocols, a hygiene management module 126 operatively connected to the smart toilet assembly 102 and configured to maintain sanitation and prevent contamination, a self-cleaning module 128 configured to execute an automated UV sterilization process after every urine sample collection to maintain hygiene, a water-saving module 130 configured to optimize water usage based on detected urine volume and hygiene parameters, a user interface 132 operatively connected to the user device 102 and the processing unit 122 and configured to display analyzed urine test results, disease predictions, and health alerts through a graphical dashboard accessible via a mobile application, a server assembly 134 operatively connected to the processing unit 122, and configured to store, retrieve, and analyse historical urine analysis data, wherein the server assembly 134 comprises, a data storage module 136 operatively connected to the server assembly 134 and configured to store patient health records, detected disease patterns, and personalized health recommendations, a retrieval module 138 operatively connected to the server assembly 134 and configured to access stored urine analysis data for historical comparisons, pattern recognition, and predictive health analytics, a communication network 140 operatively connected to the smart toilet assembly 102, the processing unit 122, and the server assembly 134, configured to facilitate real-time data exchange.
[0048] The processing unit 122 is configured to implement a machine learning-based anomaly detection algorithm that continuously analyzes urine sample data collected from the sensor 106 to identify early-stage diseases, wherein the processing unit 122 generates real-time health alerts based on detected abnormalities.
[0049] The self-cleaning module 128 in the hygiene management module 126 is configured to activate an ultraviolet sterilization mechanism and an automated flushing system upon urine sample collection to eliminate microbial contamination and ensure a sanitary toilet environment.
[0050] The water-saving module 130 is configured to dynamically adjust water flow and flushing intensity based on urine volume detected by the pressure sensor 114 to optimize water consumption while maintaining hygiene standards.
[0051] The communication module 124 is configured to transmit encrypted urine analysis data from the processing unit 122 to the server assembly 134 and the user device 102 using a secure wireless protocol, ensuring data privacy and real-time remote health monitoring.
[0052] The user interface 132 is configured to present real-time urine analysis results, detected health conditions, and historical trends using an interactive dashboard, wherein the user interface 132 allows users to share diagnostic reports with authorized healthcare professionals for remote consultation.
[0053] The method may include collecting a urine sample and configured for automated acquisition and health monitoring, detecting biochemical parameters using the sensor module 104, processing urine data for executing AI-based disease prediction algorithms, transmitting analyzed data for urine records and health trend analysis, displaying results on the user interface 128 providing health alerts and telemedicine access, ensuring hygiene and efficiency for UV sterilization and flushing, facilitating remote monitoring for real-time data exchange with healthcare providers.
[0054] The step of detecting biochemical parameters using the sensor module 104 comprises utilizing an electrochemical sensor 106 to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample, wherein the measured data is transmitted to the processing unit 110 for further analysis.
[0055] The step of processing urine data for executing AI-based disease prediction algorithms comprises applying machine learning models in the processing unit 110 to compare real-time urine composition data with historical health records stored in the server assembly 132 to generate predictive health insights and early disease alerts.
[0056] The step of ensuring hygiene and efficiency for UV sterilization and flushing comprises activating the self-cleaning module 124 upon urine sample collection, wherein the ultraviolet sterilization mechanism and automated flushing system eliminate microbial contaminants and optimize water usage based on urine volume detected by the pressure sensor 114.
[0057] The user device 102 is configured to enable user interaction, data access, and remote health monitoring. The user device 102 establishes communication with the smart toilet assembly 104 and the processing unit 122 to facilitate real-time monitoring of health parameters. The user device 102 is designed to provide users with instant access to their urine analysis results, disease predictions, and health trends through a mobile application. The user device 102 ensures seamless data retrieval and transmission between the processing unit 122, the server assembly 134, and authorized healthcare providers for remote diagnosis and telemedicine support.
[0058] The smart toilet assembly 104 is configured to facilitate urine sample collection, real-time health monitoring, and automated disease prediction. The smart toilet assembly 104 integrates multiple sensors to capture and analyse urine characteristics, ensuring accurate health assessments. The smart toilet assembly 104 is designed for automated operation, ensuring hygienic and user-friendly sample collection. The smart toilet assembly 104 is equipped with a self-cleaning module 128 and a water-saving module 130 to maintain sanitation and optimize water usage. The smart toilet assembly 104 ensures seamless communication with the processing unit 122 for data analysis.
[0059] The sensor 106 is operatively connected to the user device 102 and configured to detect physiological, biochemical, and environmental parameters of a urine sample. The sensor 106 consists of multiple specialized sensors that analyse different urine components for health assessment. The sensor 106 collects raw data from the urine sample and transmits it to the processing unit 122 for further analysis. The sensor 106 plays a critical role in detecting abnormalities and potential diseases based on urine characteristics. The sensor 106 ensures accurate and real-time data acquisition for disease prediction and health monitoring.
[0060] The electrochemical sensor 108 is configured to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample for disease identification. The electrochemical sensor 108 detects variations in biochemical composition, helping in the early detection of diabetes, kidney disorders, and urinary tract infections. The electrochemical sensor 108 uses electrochemical reactions to quantify analyses present in urine samples. The electrochemical sensor 108 ensures high accuracy in detecting deviations from normal physiological parameters. The electrochemical sensor 108 transmits collected data to the processing unit 122 for further disease assessment.
[0061] The spectroscopic sensor 110 is configured to analyse urine composition using optical absorption properties for identifying abnormalities. The spectroscopic sensor 110 detects specific wavelengths absorbed by urine components to determine chemical imbalances. The spectroscopic sensor 110 ensures precise detection of molecules associated with metabolic disorders, liver function, and infections. The spectroscopic sensor 110 utilizes light-based analysis to identify irregularities in urine composition. The spectroscopic sensor 110 transmits processed data to the processing unit 122 for further evaluation and disease prediction.
[0062] The oxygen sensor 112 is configured to detect oxygen concentration variations in the urine sample for metabolic health evaluation. The oxygen sensor 112 identifies fluctuations in oxygen levels, which can indicate metabolic inefficiencies or renal dysfunction. The oxygen sensor 112 is essential for monitoring kidney health and detecting oxygen depletion due to infections or metabolic disorders. The oxygen sensor 112 provides real-time oxygen level readings to the processing unit 122 for further analysis. The oxygen sensor 112 ensures accurate data collection for comprehensive health assessments.
[0063] The pressure sensor 114 is configured to measure urine flow rate and bladder functionality for urological health assessment. The pressure sensor 114 determines variations in urine flow pressure, which can indicate bladder dysfunction or prostate issues. The pressure sensor 114 detects abnormalities in urine stream consistency, ensuring early diagnosis of urological conditions. The pressure sensor 114 transmits collected data to the processing unit 122 for further analysis. The pressure sensor 114 ensures precise measurement of bladder health parameters for effective disease monitoring.
[0064] The temperature sensor 116 is configured to measure temperature variations in the urine sample for infection detection. The temperature sensor 116 detects abnormal temperature levels that may indicate infections such as urinary tract infections or kidney disorders. The temperature sensor 116 ensures accurate detection of temperature fluctuations in real time. The temperature sensor 116 transmits temperature readings to the processing unit 122 for further health assessment. The temperature sensor 116 contributes to early infection detection and disease monitoring.
[0065] The odour sensor 118 is configured to analyse volatile organic compounds present in the urine sample to detect infections and metabolic disorders. The odour sensor 118 identifies specific chemical signatures associated with bacterial infections and metabolic abnormalities. The odour sensor 118 ensures accurate detection of disease-related odour patterns. The odour sensor 118 provides real-time data to the processing unit 122 for health assessment. The odour sensor 118 enhances disease detection capabilities by analysing volatile organic compounds.
[0066] The colour sensor 120 is configured to assess urine colour variations for hydration status and disease identification. The colour sensor 120 detects subtle colour changes in urine that may indicate dehydration, liver disease, or infections. The colour sensor 120 ensures precise identification of colour deviations from normal urine appearance. The colour sensor 120 transmits colour data to the processing unit 122 for further evaluation. The colour sensor 120 contributes to real-time disease detection and health monitoring.
[0067] The processing unit 122 is operatively connected to the sensor 106 and configured to process real-time sensor data using machine learning algorithms to identify potential diseases, track user health trends, and generate personalized health recommendations. The processing unit 122 applies predictive analytics for disease detection. The processing unit 122 ensures real-time data analysis and personalized health insights. The processing unit 122 transmits processed data to the user device 102 for display. The processing unit 122 enables advanced AI-driven health monitoring.
[0068] The communication module 124 is operatively connected to the processing unit 122 and configured to securely transmit processed urine analysis data to a remote server, a mobile application, and authorized healthcare providers. The communication module 124 ensures encrypted transmission for secure health data exchange. The communication module 124 enables remote health monitoring through real-time data sharing. The communication module 124 supports telemedicine applications by transmitting analysis results. The communication module 124 ensures seamless connectivity between system components.
[0069] The hygiene management module 126 is operatively connected to the smart toilet assembly 104 and ensures that cleanliness standards are maintained. The hygiene management module 126 controls automated sanitation mechanisms. The hygiene management module 126 enhances hygiene through real-time monitoring and maintenance. The hygiene management module 126 ensures contamination-free sample collection. The hygiene management module 126 optimizes cleanliness through integrated sanitation technologies.
[0070] The self-cleaning module 128 is configured to execute an automated UV sterilization process after urine sample collection to maintain hygiene. The self-cleaning module 128 eliminates bacteria using ultraviolet light. The self-cleaning module 128 prevents contamination through automated sterilization. The self-cleaning module 128 ensures a sterile environment for every urine analysis. The self-cleaning module 128 contributes to long-term system efficiency.
[0071] The water-saving module 130 is configured to optimize water usage based on detected urine volume and hygiene parameters. The water-saving module 130 reduces unnecessary water wastage. The water-saving module 130 ensures efficient water management while maintaining hygiene. The water-saving module 130 dynamically adjusts water flow based on detected urine volume. The water-saving module 130 contributes to eco-friendly operation.
[0072] The user interface 132 is operatively connected to the user device 102 and the processing unit 122 and configured to display analyzed urine test results, disease predictions, and health alerts through a graphical dashboard accessible via a mobile application. The user interface 132 ensures intuitive health data visualization. The user interface 132 provides real-time health insights. The user interface 132 facilitates user-friendly interaction for health monitoring. The user interface 132 supports remote access to test results.
[0073] The server assembly 134 is operatively connected to the processing unit 122 and configured to store, retrieve, and analyse historical urine analysis data. The server assembly 134 ensures secure storage of medical records. The server assembly 134 facilitates long-term data analytics. The server assembly 134 supports historical comparisons for trend detection. The server assembly 134 enables remote data retrieval.
[0074] The data storage module 136 is operatively connected to the server assembly 134 and configured to store patient health records, detected disease patterns, and personalized health recommendations. The data storage module 136 ensures secure and scalable data storage. The data storage module 136 supports real-time and historical data access. The data storage module 136 enables health trend analysis. The data storage module 136 ensures encrypted health record management.
[0075] The retrieval module 138 is operatively connected to the server assembly 134 and configured to access stored urine analysis data for historical comparisons, pattern recognition, and predictive health analytics. The retrieval module 138 enables healthcare providers to review past test results. The retrieval module 138 supports AI-driven predictive analytics. The retrieval module 138 enhances disease trend monitoring. The retrieval module 138 ensures rapid access to stored data.
[0076] The communication network 140 is operatively connected to the smart toilet assembly 104, the processing unit 122, the user device 102, and the server assembly 134, ensuring seamless real-time data exchange between all system components. The communication network 140 enables secure and efficient transmission of urine analysis data, disease predictions, and health insights between the processing unit 122 and the user interface 132. The communication network 140 facilitates remote access to health records by transmitting analyzed data to the server assembly 134 for storage and retrieval. The communication network 140 supports telemedicine applications by enabling healthcare providers to receive real-time diagnostic updates from the processing unit 122. The communication network 140 ensures encrypted communication protocols to maintain data security and patient confidentiality. The communication network 140 is designed to optimize bandwidth usage for uninterrupted data transfer, ensuring accurate and timely health monitoring and disease detection.
[0077] FIG. 2 illustrates a flow chart of a method for automated disease detection and health monitoring, in accordance with an exemplary embodiment of the present disclosure.
[0078] At 202, collect a urine sample and configured for automated acquisition and health monitoring.
[0079] At 204, detect biochemical parameters using the sensor module.
[0080] At 206, process urine data for executing AI-based disease prediction algorithms.
[0081] At 208, transmit analyzed data for urine records and health trend analysis.
[0082] At 210, display results on the user interface providing health alerts and telemedicine access.
[0083] At 212, ensure hygiene and efficiency for UV sterilization and flushing.
[0084] At 214, facilitate remote monitoring for real-time data exchange with healthcare providers.
[0085] FIG. 3 illustrates a perspective view of smart toilet system for automated urine analysis, in accordance with an exemplary embodiment of the present disclosure.
[0086] The hydrophobic pad funnel 302 is designed to facilitate the seamless collection of urine samples while preventing unwanted liquid retention. The hydrophobic pad funnel 302 ensures that urine flows smoothly through the entry pipe 304 without residual accumulation, maintaining hygiene and accuracy in sample collection. The hydrophobic pad funnel 302 is integrated within the smart toilet system for automated urine analysis, allowing efficient redirection of liquid toward the entry pipe 304 for further processing. The hydrophobic pad funnel 302 is constructed from a non-porous, liquid-repellent material that minimizes contamination and ensures that each urine sample remains uncontaminated before analysis.
[0087] The entry pipe 304 is designed to channel the collected urine sample from the hydrophobic pad funnel 302 into the smart toilet system for automated urine analysis. The entry pipe 304 maintains a controlled flow to ensure precise sample transfer while preventing spillage or contamination. The entry pipe 304 is constructed from a non-reactive and durable material that preserves the chemical integrity of the urine sample during transit. The entry pipe 304 is strategically positioned to direct the urine toward the E-valve 306, facilitating efficient regulation of sample passage for subsequent analysis in the storage tank 308 and renewable electrochemical sensor tray 310.
[0088] The E-valve 306 regulates the flow of the urine sample from the entry pipe 304 into the storage tank 308, ensuring controlled passage for accurate analysis. The E-valve 306 operates through an automated mechanism that responds to signals from the electronic circuit 312, allowing precise sample release based on predefined conditions. The E-valve 306 prevents backflow and contamination, maintaining the integrity of the collected urine sample. The E-valve 306 integrates seamlessly with the renewable electrochemical sensor tray 310, ensuring that only the required volume of urine reaches the designated section for analysis before directing excess fluid toward the exit pipe 314.
[0089] The storage tank 308 receives the urine sample from the E-valve 306, ensuring temporary containment before analysis. The storage tank 308 maintains optimal conditions to prevent contamination and degradation of biochemical properties. The storage tank 308 connects to the renewable electrochemical sensor tray 310, facilitating controlled transfer of the urine sample for examination. The storage tank 308 integrates with the electronic circuit 312, enabling real-time monitoring of fluid levels and analysis status. The storage tank 308 directs excess urine through the exit pipe 314, ensuring proper waste disposal while maintaining hygiene and efficiency within the smart toilet system.
[0090] The renewable electrochemical sensor tray 310 receives the urine sample from the storage tank 308 and facilitates real-time biochemical analysis. The renewable electrochemical sensor tray 310 incorporates multiple electrochemical sensors to detect glucose, ketones, proteins, pH levels, nitrates, and blood content, ensuring comprehensive health monitoring. The renewable electrochemical sensor tray 310 integrates with the electronic circuit 312 to process and transmit acquired data for further evaluation. The renewable electrochemical sensor tray 310 undergoes automated regeneration, maintaining sensor accuracy and longevity. The renewable electrochemical sensor tray 310 ensures efficient and reliable disease detection before directing analyzed waste to the exit pipe 314.
[0091] The electronic circuit 312 processes data received from the renewable electrochemical sensor tray 310 and ensures accurate signal transmission for urine analysis. The electronic circuit 312 amplifies, filters, and digitizes sensor outputs, enabling precise biochemical parameter detection. The electronic circuit 312 integrates with the communication network to securely relay processed data to the processing unit for AI-based disease prediction. The electronic circuit 312 regulates power distribution to maintain stable operation of all interconnected components. The electronic circuit 312 ensures seamless connectivity between the renewable electrochemical sensor tray 310 and storage tank 308 while directing processed signals toward the exit pipe 314.
[0092] The exit pipe 314 facilitates the controlled disposal of analyzed urine samples after biochemical and physiological evaluation within the smart toilet system for automated urine analysis. The exit pipe 314 maintains a secure and hygienic pathway for urine flow, preventing contamination and ensuring efficient waste disposal. The exit pipe 314 connects seamlessly to the storage tank 308, enabling smooth fluid transition without leakage or obstruction. The exit pipe 314 functions in coordination with the E-valve 306 to regulate fluid passage based on the completion of the analysis process. The exit pipe 314 ensures a streamlined flow, maintaining the efficiency of the entire system.
[0093] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0094] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0095] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0096] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. An automated disease detection and health monitoring system (100), the system (100) comprising:
a user device (102) configured to enable user interaction, data access, and remote health monitoring, wherein the user device (102) comprises;
a smart toilet assembly (104) configured to facilitate urine sample collection, real-time health monitoring, and automated disease prediction;
a sensor (106) operatively connected to the user device (102) and configured to detect physiological, biochemical, and environmental parameters of a urine sample, wherein the sensor (106) comprises:
an electrochemical sensor (108) configured to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample for disease identification;
a spectroscopic sensor (110) configured to analyse urine composition using optical absorption properties for identifying abnormalities;
an oxygen sensor (112) configured to detect oxygen concentration variations in the urine sample for metabolic health evaluation;
a pressure sensor (114) configured to measure urine flow rate and bladder functionality for urological health assessment;
a temperature sensor (116) configured to measure temperature variations in the urine sample for infection detection;
an odour sensor (118) configured to analyse volatile organic compounds present in the urine sample to detect infections and metabolic disorders;
a colour sensor (120) configured to assess urine colour variations for hydration status and disease identification;
a processing unit (122) operatively connected to the sensor (104) and configured to process real-time sensor data using machine learning algorithms to identify potential diseases, track user health trends, and generate personalized health recommendations, wherein the processing unit (122) compromise:
a communication module (124) operatively connected to the processing unit (122) and configured to securely transmit processed urine analysis data to a remote server, a mobile application, and authorized healthcare providers communication protocols;
a hygiene management module (126) operatively connected to the smart toilet assembly (102) and configured to maintain sanitation and prevent contamination;
a self-cleaning module (128) configured to execute an automated UV sterilization process after every urine sample collection to maintain hygiene;
a water-saving module (130) configured to optimize water usage based on detected urine volume and hygiene parameters;
a user interface (132) operatively connected to the user device (102) and the processing unit (122) and configured to display analyzed urine test results, disease predictions, and health alerts through a graphical dashboard accessible via a mobile application;
a server assembly (134) operatively connected to the processing unit (122), and configured to store, retrieve, and analyse historical urine analysis data, wherein the server assembly (134) comprises:
a data storage module (136) operatively connected to the server assembly (134) and configured to store patient health records, detected disease patterns, and personalized health recommendations;
a retrieval module (138) operatively connected to the server assembly (134) and configured to access stored urine analysis data for historical comparisons, pattern recognition, and predictive health analytics;
a communication network (140) operatively connected to the smart toilet assembly (102), the processing unit (122), and the server assembly (134), configured to facilitate real-time data exchange.
2. The system (100) as claimed in claim 1, wherein the processing unit (122) is configured to implement a machine learning-based anomaly detection algorithm that continuously analyzes urine sample data collected from the sensor (106) to identify early-stage diseases, wherein the processing unit (122) generates real-time health alerts based on detected abnormalities.
3. The system (100) as claimed in claim 1, wherein the self-cleaning module (128) in the hygiene management module (126) is configured to activate an ultraviolet sterilization mechanism and an automated flushing system upon urine sample collection to eliminate microbial contamination and ensure a sanitary toilet environment.
4. The system (100) as claimed in claim 1, wherein the water-saving module (130) is configured to dynamically adjust water flow and flushing intensity based on urine volume detected by the pressure sensor (114) to optimize water consumption while maintaining hygiene standards.
5. The system (100) as claimed in claim 1, wherein the communication module (124) is configured to transmit encrypted urine analysis data from the processing unit (122) to the server assembly (134) and the user device (102) using a secure wireless protocol, ensuring data privacy and real-time remote health monitoring.
6. The system (100) as claimed in claim 1, wherein the user interface (132) is configured to present real-time urine analysis results, detected health conditions, and historical trends using an interactive dashboard, wherein the user interface (132) allows users to share diagnostic reports with authorized healthcare professionals for remote consultation.
7. A method for automated disease detection and health monitoring, the method (100) comprising:
collecting a urine sample and configured for automated acquisition and health monitoring;
detecting biochemical parameters using the sensor module (104);
processing urine data for executing AI-based disease prediction algorithms;
transmitting analyzed data for urine records and health trend analysis;
displaying results on the user interface (128) providing health alerts and telemedicine access;
ensuring hygiene and efficiency for UV sterilization and flushing;
facilitating remote monitoring for real-time data exchange with healthcare providers.
8. The method (100) as claimed in claim 7, wherein the step of detecting biochemical parameters using the sensor module (104) comprises utilizing an electrochemical sensor (106) to measure glucose, ketones, proteins, pH levels, nitrates, and blood content in the urine sample, wherein the measured data is transmitted to the processing unit (110) for further analysis.
9. The method (100) as claimed in claim 7, wherein the step of processing urine data for executing AI-based disease prediction algorithms comprises applying machine learning models in the processing unit (110) to compare real-time urine composition data with historical health records stored in the server assembly (132) to generate predictive health insights and early disease alerts.
10. The method (100) as claimed in claim 7, wherein the step of ensuring hygiene and efficiency for UV sterilization and flushing comprises activating the self-cleaning module (124) upon urine sample collection, wherein the ultraviolet sterilization mechanism and automated flushing system eliminate microbial contaminants and optimize water usage based on urine volume detected by the pressure sensor (114).