Description:Field of the Invention
This invention relates to Collecting human vital count using Biosensor and analyzing it with the help of Artificial Intelligence.
Background of the Invention
This invention is about checking the patient's health condition and monitoring their health status without physically meeting the doctor. The communication between the doctor and patient is connected via AI, a Cloud Server that collects the data and saves the data of the patient in the cloud server. This device measures the vital count such as Blood pressure, pulse rate, Heart rate, oxygen level, cholesterol level, triglycerides level, blood glucose level etc. Vital signs are varied by the age, BMI, Body temperature etc... of the patient and these data are save in the cloud server that helps the doctor to check the patient condition and it also helps the patients to know their health condition. It helps in many ways like patient can take OTC drug and change their life style as per their health condition and changes and suggestions notified by the app. It helps to prevent the future complications and if patient take daily routine health checkup or monitoring their health then it can prevent the worsening of conditions. By controlling the B.P, Sugar level or Cholesterol level we can prevent future complications such as heart attack, diabetic cardiac myopathy, stroke etc.
US10811135B2 Apparatus, systems, and methods to improve automated identification, monitoring, processing, and control of a condition impacting a patient using image data and artificial intelligence classification are disclosed. An example image processing apparatus includes an artificial intelligence classifier to: process first image data for a patient from a first time to determine a first classification result indicating a first severity of a condition for the patient; and process second image data for the patient from a second time to determine a second classification result indicating a second severity of the condition for the patient. The example image processing apparatus includes a comparator to compare the first classification result and the second classification result to determine a change and a progression of the condition associated with the change. The example image processing apparatus includes an output generator to trigger an action when the progression corresponds to a worsening of the condition.
RESEARCH GAP: There is no connection of device and mobile application.
US20180182475A1Techniques are provided that involve employing artificial intelligence (AI) to facilitate reducing adverse outcomes associated with healthcare delivery. In one embodiment, a computer implemented method comprises monitoring live feedback received over a course of care of a patient, wherein the live feedback comprises physiological information regarding a physiological state of the patient. The method further comprises employing AI to identify, based on the live feedback information, an event or condition associated with the course of care of the patient that warrants clinical attention or a clinical response. The method further comprises generating a response, based on the identification of the event or condition, that facilitates reducing an adverse outcome of the course of care, wherein the response varies based on a type of the event or condition, and providing the response to a device associated with an entity involved with treating the patient in association with the course of care.
RESEARCH GAP: The application does not prescribe over the counter drugs or suggest any lifestyle changes.
CN110097977AThe present invention relates to a kind of clinic long distance service system based on artificial intelligence, including clinic terminal, Cloud Server, patient terminal, doctor terminal, it is self-service sell medicine terminal, sell medicine user terminal and the terminal that replenishes, the clinic terminal, doctor terminal, self-service sell medicine terminal, sells medicine user terminal, the terminal that replenishes and Cloud Server and carried out data transmission by network patient terminal. The invention has the advantages that establishing Novel medical service system, the diagnosis and treatment of patient's primary and health control are solved the problems, such as, realize medical treatment & health physical examination, AI medical diagnosis on disease, interrogation consulting, medical electric business, the one-stop health care solution of chronic diseases management. It saves the time to diagnose the illness, see a doctor cost, reduce disease risks.
RESEARCH GAP: There is no device assessing the body’s vital count.
US8388530B2 Analysis of individual's serial changes, also referred to as the physiological, pathophysiological, medical or health dynamics, is the backbone of medical diagnosis, monitoring and patient healthcare management. However, such an analysis is complicated by enormous intra-individual and inter-individual variability. To address this problem, a novel serial-analysis method and system based on the concept of personalized basis functions (PBFs) is disclosed. Due to more accurate reference information provided by the PBFs, individual's changes associated with specific physiological activity or a sequence, transition or combination of activities (for example, a transition from sleep to wakefulness and transition from rest to exercise) can be monitored more accurately. Hence, subtle but clinically important changes can be detected earlier than using other methods. A library of individual's PBFs and their transition probabilities (which can be described by Hidden Markov Models) can completely describe individual's physiological dynamics. The system can be adapted for healthcare information management, diagnosis, medical decision support, treatment and side-effect control. It can also be adapted for guiding health, fitness and wellness training, subject identification and more efficient management of clinical trials.
RESEARCH GAP: The application does not prescribe over the counter drugs or suggest any lifestyle changes
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed. This invention relates to Collecting human vital count using Biosensor and analyzing it with the help of Artificial Intelligence.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
Most of the aspects, objectives and the actual working process of the invention will be described below with reference to the Fig 1. The medical data of a patient with a critical/non - critical health condition is recorded which includes the patient’s blood pressure, pulse, oxygen level, blood sugar, total cholesterol, trigliceridesetc. These data are collected by the devices and populated into a database system preferably SQL (Structured Query Language) as it automatically updates its registered data with the server it is linked to. Now we plan on using Artificial Intelligence or, more specifically a Machine learning algorithm that can continuously keep learning about different parameters and conditions for a disease in a patient, from the medical data of multiple patients from any affiliated hospital/hospitals which is already being continuously updated by the hospital administration. The AI can now compare the two different groups of data, one from the patient using the Application (app) and the other from the hospital/hospitals and calculate the most reasonable result which can be confirmed by a Medical professional if the patient desires so. Also it can prescribe OTC (Over The Counter) drugs that can help with the patient’s condition, as the AI can be taught various Pharmacopoeias such as Indian Pharmacopoeia (IP), United States Pharmacopoeia (USP), British Pharmacopoeia (BP) etc. In an emergency condition, the app will show a message referring to visit hospital as soon as possible. Now that the AI has provided the results of the medical data that was collected from the patient using the app, it is also updated onto the database. All the data form the patient using the app, the data received from the hospital/hospitals and the results obtained be the AI is stored on a Cloud Server which is further used as a library for reference material in future cases as well as a primary storage space for all the data collected throughout the process.
Fig 2 depicts that monitoring of human vitals on a regular basis by the device and its data collection by the App will help in prevention of further future complications such as heart attack, diabetic cardiomyopathy by controlling blood glucose level and hypertension/hypotension and also cholesterol level. App can also suggest lifestyle and diet changes as per the data obtained from patient health.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
FIGURE 1: ACTUAL WORKING PROCESS OF THE INVENTION
FIGURE 2: MONITORING OF HUMAN VITALS ON A REGULAR BASIS BY THE DEVICE
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.

DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein 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 scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Most of the aspects, objectives and the actual working process of the invention will be described below with reference to the Fig 1. The medical data of a patient with a critical/non - critical health condition is recorded which includes the patient’s blood pressure, pulse, oxygen level, blood sugar, total cholesterol, triglicerides etc. These data are collected by the devices and populated into a database system preferably SQL (Structured Query Language) as it automatically updates its registered data with the server it is linked to. Now we plan on using Artificial Intelligence or, more specifically a Machine learning algorithm that can continuously keep learning about different parameters and conditions for a disease in a patient, from the medical data of multiple patients from any affiliated hospital/hospitals which is already being continuously updated by the hospital administration. The AI can now compare the two different groups of data, one from the patient using the Application (app) and the other from the hospital/hospitals and calculate the most reasonable result which can be confirmed by a Medical professional if the patient desires so. Also it can prescribe OTC (Over The Counter) drugs that can help with the patient’s condition, as the AI can be taught various Pharmacopoeias such as Indian Pharmacopoeia (IP), United States Pharmacopoeia (USP), British Pharmacopoeia (BP) etc. In an emergency condition, the app will show a message referring to visit hospital as soon as possible. Now that the AI has provided the results of the medical data that was collected from the patient using the app, it is also updated onto the database. All the data form the patient using the app, the data received from the hospital/hospitals and the results obtained be the AI is stored on a Cloud Server which is further used as a library for reference material in future cases as well as a primary storage space for all the data collected throughout the process.
Fig 2 depicts that monitoring of human vitals on a regular basis by the device and its data collection by the App will help in prevention of further future complications such as heart attack, diabetic cardiomyopathy by controlling blood glucose level and hypertension/hypotension and also cholesterol level. App can also suggest lifestyle and diet changes as per the data obtained from patient health.
A Collecting human vital count using Biosensor and analyzing it with the help of Artificial Intelligence comprises data collection model (101), machine learning model (102), Artificial Intelligence (103), Mobile application (104), cloud server (105),
In another embodiment the data collection model (101) is used to collect the patient data and the data store in SQL form.
In another embodiment the machine learning model (102) continuously keep learning about different parameters and conditions for a disease in a patient by machine learning algorithm, from the medical data of multiple patients from any affiliated hospital/hospitals which is already being continuously updated by the hospital administration.
In another embodiment Artificial Intelligence (103) compare the two different groups of data, one from the patient using the Application (app) and the other from the hospital/hospitals and calculate the most reasonable result which can be confirmed by a Medical professional if the patient desires so and also it can prescribe OTC (Over The Counter) drugs that can help with the patient’s condition, as the AI can be taught various Pharmacopoeias such as Indian Pharmacopoeia (IP), United States Pharmacopoeia (USP), British Pharmacopoeia (BP) etc.
In another embodiment in an emergency condition, the mobile application (104) show a message referring to visit hospital as soon as possible.
In another embodiment all the data form the patient using the app, the data received from the hospital/hospitals and the results obtained be the AI is stored on a Cloud Server (105) which is further used as a library for reference material in future cases as well as a primary storage space for all the data collected throughout the process.

ADVANTAGES OF THE INVENTION
1. This device helps in daily health monitoring of patients.
2. This invention helps in the prevention of future complications such as heart attack, diabetic cardiomyopathy.
3. All of diagnostic vitals such as Blood glucose, cholesterol, triglycerides, blood pressure, oxygen level, pulse rate can be determined by aaingle device only.
4. This device is easy to carry.
, Claims:1. A device of Collecting human vital count using Biosensor and analyzing it with the help of Artificial Intelligence comprises a data collection model (101), a machine learning model (102), an Artificial Intelligence model (103), a Mobile application (104), a cloud server (105), wherein the data collection model (101) is used to collect the patient data and the data store in SQL form.
2. The device as claimed in claim 1, wherein the machine learning model (102) continuously keep learning about different parameters and conditions for a disease in a patient by machine learning algorithm, from the medical data of multiple patients from any affiliated hospital/hospitals which is already being continuously updated by the hospital administration.
3. The device as claimed in claim 1, wherein the Artificial Intelligence (103) compare the two different groups of data, one from the patient using the Application (app) and the other from the hospital/hospitals and calculate the most reasonable result which can be confirmed by a Medical professional if the patient desires so and also it can prescribe OTC (Over The Counter) drugs that can help with the patient’s condition, as the AI can be taught various Pharmacopoeias such as Indian Pharmacopoeia (IP), United States Pharmacopoeia (USP), British Pharmacopoeia (BP) etc.
4. The device as claimed in claim 1, wherein in an emergency condition, the mobile application (104) show a message referring to visit hospital as soon as possible.
5. The device as claimed in claim 1, wherein all the data form the patient using the app, the data received from the hospital/hospitals and the results obtained be the AI is stored on the Cloud Server (105) which is further used as a library for reference material in future cases as well as a primary storage space for all the data collected throughout the process.