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Bioinformatics And Anti Doping Inspection Device

Abstract: A bioinformatics and anti-doping inspection device, comprises of a platform 101 to accommodate a sportsperson, a weight sensor measures body weight, an AI powered camera 102 for verifying identity of sportsperson, a height inspection unit comprising a vertical slider 103 with scale indicators and a strip 104 to measure height, a headgear unit 105 arranged via a L-shaped telescopic link 106 comprising EEG sensors for monitoring neurological activity, a health monitoring unit for measuring vital health parameters, a hand-resting unit 107 to accommodate hand of sportsperson to provide a blood sample, a vein detector 108 to locate a vein, an injection unit 110 with a syringe 111 for drawing the blood sample, an isotope ratio mass spectrometry unit 112 for analyzing blood to detect prohibited substances, a digital hand dynamometer 113 to test the grip strength, a projection unit 115 creates a real-time, full-body holographic image of sportsperson.

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Patent Information

Application #
Filing Date
30 May 2025
Publication Number
25/2025
Publication Type
INA
Invention Field
BIO-MEDICAL ENGINEERING
Status
Email
Parent Application

Applicants

Marwadi University
Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Inventors

1. Simrin Fathima Syed
Department of Computer Science and Engineering - Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
2. Dr. Madhu Shukla
Head of the Department, Department of Computer Science and Engineering - Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
3. Dr. Nishant Kothari
Head of the Department, Department of Electrical Engineering, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
4. Vipul Ladva
Department of Computer Science and Engineering - Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
5. Akshay Ranpariya
Department of Computer Science and Engineering - Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.
6. Neel Dholakia
Department of Computer Science and Engineering - Artificial Intelligence, Machine Learning, Data Science, Marwadi University, Rajkot - Morbi Road, Rajkot 360003 Gujarat, India.

Specification

Description:FIELD OF THE INVENTION

[0001] The present invention relates to a bioinformatics and anti-doping inspection device that is capable of monitoring and storing the health parameters of the sportsperson thereby allowing the sportsperson to access, update, and review their health data at any time.

BACKGROUND OF THE INVENTION

[0002] Bioinformatics and anti-doping inspection are crucial components in the pursuit of fair and ethical sportsmanship. Bioinformatics enables the analysis of complex biological data, such as genetic and proteomic information, to detect the presence of prohibited substances or their metabolites with high precision. This method enhances the sensitivity and specificity of doping tests. The importance of bioinformatics in anti-doping efforts lies in the ability to improve detection methods, identify new doping agents, and monitor athlete’s biological profiles over time. Consequently, integrating bioinformatics into anti-doping inspection not only helps maintain the integrity of competitive sports but also ensures athlete health and safety by discouraging the use of harmful performance-enhancing drugs.

[0003] Traditional bioinformatics and anti-doping inspection methods relied on techniques like laboratory-based chemical analyses, urine and blood tests, and immunoassays to detect banned substances. These methods involved manual sample collection, chromatography, and mass spectrometry to identify known doping agents. The traditional methods of bioinformatics and anti-doping inspection face several drawbacks, including limited ability to detect new or designer doping substances, high costs, and lengthy processing times. They often require invasive sample collection and produce false positives or negatives. Additionally, manual analysis is labor-intensive and less sensitive to low-level or subtle doping markers, reducing overall effectiveness in maintaining fair play.

[0004] US8296116B2 discloses a model of functional proteomics. Simulation scenarios of protein pathway vectors and protein-protein interactions are modeled from limited information in protein databases. The system focuses on three integrated subsystems, including (1) a system to model protein-protein interactions using an evolvable Global Proteomic Model (GPM) of functional proteomics to ascertain healthy pathway operations, (2) a system to identify haplotypes customized for specific pathology using dysfunctional protein pathway simulations of the function of combinations of single nucleotide polymorphisms (SNPs) so as to ascertain pathology mutation sources and (3) a pharmacoproteomic modeling system to develop, test and refine proposed drug solutions based on the molecular structure and topology of mutant protein(s) in order to manage individual pathologies. The system focuses on simulating the degenerative genetic disease categories of cancer, neurodegenerative diseases, immunodegenerative diseases and aging. The system reveals approaches to reverse engineer and test personalized medicines based upon dysfunctional proteomic pathology simulations.

[0005] WO2019166651A1 relates to the identification of peptides, and the corresponding proteins, that can be used in methods for the detection of autologous blood doping. More specifically, the invention relates to methods comprising tryptic digestion of samples of isolated red blood cell (RBC), specifically isolated RBC cytosol, followed by peptide mapping using liquid chromatography tandem-mass spectroscopy (LC-MS/MS). The methods according to the invention which enable detection of increased levels of certain peptides in samples from subjects that have been subjected to autologous blood doping, compared to samples from non-doped control subjects.

[0006] Conventionally, many devices have been developed for anti-doping inspection, but these existing devices lack in detecting the condition of the muscle of sportsperson and displaying the health status for making the sportsperson aware of their muscle health. Additionally, these existing devices also lack in collecting the blood sample of the sportsperson for detecting the presence of prohibited substances in the blood for preventing the sportsperson from gaining unfair advantages.

[0007] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a device that requires to be capable of detecting the condition of the muscle of sportsperson and displaying the health status for making the sportsperson aware of their muscle health. Additionally, the developed device also needs to detect the presence of prohibited substances in the blood for preventing the sportsperson from gaining unfair advantages.

OBJECTS OF THE INVENTION

[0008] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0009] An object of the present invention is to develop a device that is capable of monitoring and storing the health parameters of the sportsperson thereby allowing the sportsperson to access, update, and review their health data at any time.

[0010] Another object of the present invention is to develop a device that is capable of detecting the condition of the muscle of sportsperson and accordingly displaying the health status for making the sportsperson aware of their physical health.

[0011] Yet another object of the present invention is to develop a device that is capable of collecting blood sample of the sportsperson for the detecting the presence of prohibited substances in the blood for preventing the sportsperson from gaining unfair advantages.

[0012] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0013] The present invention relates to a bioinformatics and anti-doping inspection device that is capable of collecting blood sample of the sportsperson for the detecting the presence of prohibited substances in the blood for preventing the sportsperson from gaining unfair advantages.

[0014] According to an embodiment of the present invention, a bioinformatics and anti-doping inspection device, comprises of a platform adapted to be rested over a ground surface developed to accommodate a sportsperson, the platform is integrated with a weight sensor to measure and record the sportsperson's body weight that is stored in a sportsperson’s health profile created in an integrated database, an AI (artificial intelligence)-powered camera mounted on the platform for verifying the identity of the sportsperson, the camera uses facial recognition protocols to ensure that only registered sportspersons are able to access the device and the camera also performs facial expression analysis to detect signs of stress, fatigue, or discomfort, which are integrated into the sportsperson’s health profile, a height inspection unit mounted on the platform comprising a vertical slider with scale indicators and a strip that moves vertically along the slider, the strip automatically adjusts upward or downward to align with the top of the sportsperson’s head to measure height accurately, a headgear unit arranged on tip of the slider via a L-shaped telescopic link, comprising EEG sensors positioned at key scalp locations for monitoring the sportsperson’s neurological activity, a health monitoring unit integrated with the platform for measuring vital health parameters of the sportsperson, a hand-resting unit arranged with the platform adapted to accommodate hand of the sportsperson to provide a blood sample for doping analysis.

[0015] According to another embodiment of the present invention, the device further comprises of a vein detector installed on tip of a L-shaped telescopic rod mounted on the hand-resting unit that moves over the hand to locate a suitable vein, an injection unit with a syringe provided with the hand-resting unit for drawing the blood sample, an isotope ratio mass spectrometry unit provided with the hand-resting unit for analyzing the blood sample to detect any prohibited substances or performance-enhancing drugs, and the results of the analysis are securely recorded in the database, a digital hand dynamometer is arranged with the device via an L-shaped bar configured to test the grip strength of the sportsperson, a pressure sensor integrated with the dynamometer detects the force applied by the sportsperson when gripping the dynamometer, a 3D (three-dimensional) holographic projection unit mounted on the platform creates a real-time, full-body holographic image of the sportsperson based on the collected biometric data with vital health statistics such as heart rate, oxygen saturation, and grip strength projected around the hologram for real-time assessment, a thermal camera is integrated with the platform that monitors the sportsperson's muscles condition, a user-interface is inbuilt in a computing unit, maintaining individual profiles for each registered sportsperson, each profile stores details, biometric data, test results, and historical health records, allowing users to access, update, and review their data at any time and a battery is associated with the device for supplying power to electrical and electronically operated components.

[0016] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0017] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a bioinformatics and anti-doping inspection device.

DETAILED DESCRIPTION OF THE INVENTION

[0018] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0019] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0020] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0021] The present invention relates to a bioinformatics and anti-doping inspection device that is capable of detecting condition of the muscle of sportsperson and accordingly displays the health status for making the sportsperson aware of their muscle health.

[0022] Referring to Figure 1, an isometric view of a bioinformatics and anti-doping inspection device is illustrated, comprising a platform 101 adapted to be rested over a ground surface, an AI (artificial intelligence)-powered camera 102 mounted on the platform 101, a vertical slider 103 with a strip 104, a headgear unit 105 arranged on tip of the slider 103 via a L-shaped telescopic link 106, a hand-resting unit 107 arranged with the platform 101, a vein detector 108 is installed on tip of a L-shaped telescopic rod 109.

[0023] Figure 1 further illustrates an injection unit 110 with a syringe 111 provided with the hand-resting unit 107, an isotope ratio mass spectrometry unit 112 provided with the hand-resting unit 107, a digital hand dynamometer 113 is arranged with the device via an L-shaped bar 114, a 3D (three-dimensional) holographic projection unit 115 mounted on the platform 101, a thermal camera 116 is integrated with the platform 101, a display panel 117 provided on the platform 101, a horizontal sliding unit 118.

[0024] The device disclosed herein employs a platform 101 that is adapted to be rested over a ground surface. This platform 101 is typically constructed from material that include but not limited to high-strength materials such as reinforced steel or durable aluminum alloys, which provide a robust and resilient enclosure capable of withstanding physical impacts and environmental stressors. The platform 101 is developed to accommodate a sportsperson.

[0025] For activating the device, the user needs to press a push button which is arranged on the platform 101 which in turn activates all the related components for performing the desired task. After pressing the button, a closed electrical circuit is formed and current starts to flow that powers an inbuilt microcontroller to allow all the linked components to perform their respective task upon actuation.

[0026] The platform 101 is integrated with a weight sensor to measure and record the sportsperson's body weight upon stepping onto the platform 101. The weight sensor typically functions using a load cell, which is a transducer that converts mechanical force into an electrical signal. When the sportsperson steps onto the platform 101, their body weight exerts a force on the load cell, causing a deformation in the internal strain gauges. These strain gauges experience a change in electrical resistance proportional to the applied force. This resistance change is detected by an attached Wheatstone bridge circuit, which produces a small voltage variation corresponding to the applied load. The resulting electrical signal is then amplified by a signal conditioning circuit, filtered to reduce noise, and processed by an analog-to-digital converter (ADC). The digital data is subsequently transmitted to the microcontroller, which calculates the precise body weight. The body weight is stored in a sportsperson’s health profile that is created in an integrated database.

[0027] An AI (artificial intelligence)-powered camera 102 is mounted on the platform 101 for verifying the identity of the sportsperson. The camera 102 comprises of an image capturing arrangement including a set of lenses that captures multiple images in vicinity of the platform 101, and the captured images are stored within a memory of the camera 102 in form of an optical data. The camera 102 also comprises of the processor that is integrated with artificial intelligence protocols, such that the processor processes the optical data and extracts the required data from the captured images. The extracted data is further converted into digital pulses and bits and are further transmitted to the microcontroller.

[0028] The camera 102 uses facial recognition protocols to ensure that only registered sportspersons are able to access the device and the camera 102 also performs facial expression analysis to detect signs of stress, fatigue or discomfort, which are integrated into the sportsperson’s health profile. The facial recognition protocol operates through a multi-stage process involving image acquisition, feature extraction, and matching. Initially, the camera 102 captures a real-time image of the sportsperson's face. This image is processed through protocols that detect and extract distinctive facial features such as the distances between eyes, nose shape, jawline, and other unique biometric markers, creating a facial feature vector or template. This template is compared against a pre-existing database of registered profiles using pattern matching techniques like machine learning classifiers such as convolutional neural networks (CNNs). Simultaneously, the device employs facial expression analysis protocols, based on deep learning models trained to recognize facial muscle movements, to assess signs of stress, fatigue, or discomfort. These detected expressions are then quantified and integrated into the user’s health profile, providing insights into their physical and emotional state during assessment.

[0029] On the platform 101, a height inspection unit is mounted that comprises of a vertical slider 103 with scale indicators and a strip 104 that moves vertically along the slider 103. The vertical slider 103 consists of a sliding rail and a motorized slidable member connected to the sliding rail. The motorized slidable member is mounted over the platform 101 and sliding rail on both sides to make the strip 104 slide. The slidable member is attached to a motor which provides movement to the member in a bi-directional manner. The strip 104 automatically adjusts upward or downward by using the slider 103 to align with the top of the sportsperson’s head to measure height accurately and the microcontroller guides the vertical movement of the strip 104 for precise height measurement with the height value securely stored in the sportsperson’s health profile.

[0030] On the tip of the slider 103, a headgear unit 105 is arranged by means of a L-shaped telescopic link 106. The L-shaped telescopic link 106 extends and retracts by using nested sections that slide within each other, driven by pneumatic unit for precise positioning of the headgear unit 105. The pneumatic unit for extension and retraction operates using compressed air to drive a piston inside a cylinder. When air is supplied to one side of the piston, it creates pressure that pushes the piston rod outward, causing extension. To retract, air is supplied to the opposite side while the initial chamber is vented, pulling the piston rod back.

[0031] The headgear unit 105 comprises of EEG sensors, positioned at key scalp locations for monitoring the sportsperson’s neurological activity. These sensors continuously capture brainwave signals such as alpha, beta, and theta waves which are analyzed by the microcontroller to detect stress, fatigue, or cognitive load, and processed data is stored as part of the sportsperson’s health profile. The EEG sensors operate by detecting electrical activity generated by neuronal firing in the brain through non-invasive electrodes strategically placed at key scalp locations. These sensors consist of conductive materials that pick up tiny voltage fluctuations, brainwaves such as alpha, beta, and theta waves by measuring the electrical potential differences between different scalp points. The captured analog signals are then transmitted to the microcontroller, where they undergo amplification to boost weak signals, filtering to eliminate noise and interference, and analog-to-digital conversion for precise digital analysis. The processed digital data is analyzed to identify specific patterns and frequency bands associated with stress, fatigue, or cognitive load. These insights are then stored as part of the sportsperson’s health profile, enabling real-time monitoring of neurological states and providing valuable feedback for performance and health assessment.

[0032] For measuring the vital health parameters of the sportsperson, a health monitoring unit is configured with the platform 101. The health monitoring unit comprises of an ECG sensor for monitoring heart rate, an SpO2 sensor for measuring oxygen saturation levels, a temperature sensor for monitoring body temperature, and an FBG sensor for measuring blood pressure. The ECG sensor functions by detecting the electrical activity generated by the heart during each cardiac cycle. The sensor employs electrodes placed on the skin, typically on the chest, which pick up the tiny electrical signals produced by the depolarization and repolarization of cardiac tissues. These analog signals are transmitted to an amplifier circuit within the sensor, where they are amplified to accentuate the faint electrical impulses. The amplified signals are then filtered to remove noise and artifacts, such as muscle movements or external interference, before being digitized through an analog-to-digital converter. The resulting digital data is analyzed to identify characteristic features from which the heart rate is calculated.

[0033] The SpO2 sensor operates on the principle of pulse oximetry, utilizing light-emitting diodes (LEDs) that emit red and infrared light and a photodetector to measure light absorption through the tissue, typically a fingertip. When light passes through blood vessels, oxygenated and deoxygenated hemoglobin absorb different amounts of light at specific wavelengths. The sensor measures the pulsatile component of absorption caused by arterial blood flow, and by analyzing the ratio of red to infrared light absorption during each pulse, the sensor calculates the proportion of oxygenated hemoglobin (SpO2). The signal processing involves converting raw light intensity data into a ratio and applying calibration protocols to determine the oxygen saturation level, providing continuous monitoring of oxygenation status. The temperature sensor is typically a thermistor that detects body temperature by measuring thermal variations. The thermistor works by changing the electrical resistance proportionally to temperature changes. This resistance variation is measured through a voltage divider circuit, and the resulting voltage is processed to determine temperature.

[0034] The Fiber Bragg Grating (FBG) sensor measures the blood pressure by exploiting the strain-sensitive properties of gratings inscribed within optical fibers. When blood pressure fluctuates, the fluctuation causes subtle mechanical strains on the sensing element attached to the fiber, which in turn alters the periodicity of the Bragg gratings. This change shifts the wavelength of light reflected by the FBG, which is detected using an optical interrogator. The wavelength shift is directly proportional to the strain induced by blood pressure variations. By calibrating these shifts against known pressure values, the FBG sensor provides precise, real-time measurements of blood pressure. Each sensor continuously tracks the vital health parameters in real-time and provides insights into the sportsperson’s physical condition during exertion.

[0035] A hand-resting unit 107 is arranged with the platform 101 that is adapted to accommodate hand of the sportsperson to provide a blood sample for doping analysis. For locating a suitable vein, a vein detector 108 is attached on the tip of a L-shaped telescopic rod 109 that is mounted on the hand-resting unit 107 that moves over the hand. The L-shaped telescopic rod 109 works in the similar manner as the telescopic link 106 explained above. The vein detector 108 functions by utilizing near-infrared (NIR) light to locate suitable veins beneath the skin surface. The vein detector 108 emits NIR light through the tip of the L-shaped telescopic rod 109 onto the hand's surface, since hemoglobin in the blood absorbs NIR light differently than surrounding tissues, the detector 108 captures the reflected light. The variations in absorption levels enable to distinguish blood vessels from other tissues, creating a visual map of the underlying veins. The detector 108 employs photodiodes to measure the intensity of reflected NIR light, converting these signals into electrical signals. These signals are then processed to analyze the absorption patterns to identify prominent veins.

[0036] For drawing the blood sample, an injection unit 110 with a syringe 111 is provided with the hand-resting unit 107. The hand-resting unit 107 further comprises a horizontal sliding unit 118 that allows the vein detector 108 to scan and locate a vein on the sportsperson's hand. The horizontal sliding unit 118 works in the similar as the slider 103 explained above for sliding the vein detector 108 for assisting in the detection of the vein. Post scanning and locating a vein on the sportsperson's hand, the injection unit 110 is precisely guided to insert a syringe 111 into the identified vein for accurate blood collection.

[0037] An isotope ratio mass spectrometry unit 112 is provided with the hand-resting unit 107 for analyzing the blood sample to detect any prohibited substances or performance-enhancing drugs. The isotope ratio mass spectrometry (IRMS) unit functions by analyzing the blood sample collected from the sportsperson to detect prohibited substances or performance-enhancing drugs. Once the blood sample is obtained and transferred into the IRMS apparatus, it undergoes chemical preparation to convert the sample into a suitable gaseous form, typically CO₂ or N₂. The sample gas is then introduced into the mass spectrometer, where it is ionized by bombarding with electrons, producing charged ions. These ions are accelerated through electromagnetic fields, separating them based on their mass-to-charge ratio. The IRMS specifically measures the ratios of stable isotopes within the sample. The variations in these ratios reveals the presence of synthetic or exogenous substances, as they often have distinct isotopic signatures compared to natural biological materials. The detector records the ion intensities, and the data is processed to compare the isotope ratios against known standards, enabling precise identification of prohibited substances in the blood sample. The results of the analysis are securely recorded in the database.

[0038] If any prohibited substances are detected, the microcontroller automatically triggers an alert and prevents further participation in sports activities. For testing the grip strength of the sportsperson, a digital hand dynamometer 113 is arranged with the device via an L-shaped bar 114. The digital hand dynamometer 113 functions by measuring the force exerted by the sportsperson’s grip during testing. When the sportsperson squeezes the handle, the force applied causes deformation or compression of internal load sensors, such as strain gauge. The sensor detects the amount of mechanical strain resulting from the grip force and converting into an electrical signal. The electrical signals are then processed by the microcontroller, which amplifies and digitizes the data. The digitized force measurement is transmitted to the display module, providing real-time readouts of the grip strength.

[0039] A pressure sensor is integrated with the dynamometer 113 that detects the force applied by the sportsperson when gripping the dynamometer 113. The pressure sensor measures pressure by converting applied force into an electrical signal. The sensor typically consists of a diaphragm that deforms when subjected to pressure. This deformation alters the resistance of the sensor. The change is then converted into a proportional electrical signal, which is processed to determine the exact pressure value. The force reading is captured and recorded to provide a measure of the sportsperson’s grip strength.

[0040] A 3D (three-dimensional) holographic projection unit 115 mounted on the platform 101. This holographic projection unit 115 creates three-dimensional image that appear to float in space by utilizing principles of light diffraction and interference which begins with a coherent light source splits into two beams which illuminates the recording medium. When these beams intersect, they create an interference pattern that encodes the light's amplitude and phase information on a medium like holographic film. To visualize the hologram, this recorded pattern is illuminated again with coherent light, recreating a light field that mimics the original object’s light field, allowing viewers to see a 3D image from various angles. The projection unit 115 creates a real-time, full-body holographic image of the sportsperson based on the collected biometric data, with vital health statistics such as heart rate, oxygen saturation, and grip strength projected around the hologram for real-time assessment. The unit is equipped with gesture-based interaction to allow users to navigate through test results and historical data.

[0041] For monitoring the sportsperson's muscles, a thermal camera 116 is integrated with the platform 101 to detect whether the muscles are in optimal condition or if any muscles are contracted or strained, generating a corresponding heat map that visually displays the health status of the sportsperson’s muscles. The thermal camera 116 functions by detecting the infrared radiation emitted by the sportsperson’s muscles, which correlates with their temperature and metabolic activity. When the thermal camera 116 captures the area of interest, the infrared sensor detects variations in heat emission across the muscle surface. The sensor converts the infrared radiation into electrical signals proportional to the temperature differences. The signals are then processed by internal circuitry to generate a detailed heat map, where different shades represent varying temperature levels. Warmer regions typically indicate increased blood flow, muscle contraction, or strain, while cooler areas suggest relaxed or less active muscles. This real-time thermal analysis provides valuable insights into muscle condition.

[0042] The heat map is further displayed on a display panel 117 that is provided on the platform 101. The display panel 117 operates by receiving processed data from the microcontroller which analyzes input from the thermal camera 116, displaying the heat map. This data is converted into a digital format and transmitted to the display via an integrated driver circuit. The panel 117, typically an LCD screen, uses pixels controlled by electrical signals to visually represent the heat map. A user-interface is inbuilt in a computing unit, maintaining individual profiles for each registered sportsperson. Each profile stores details, biometric data, test results, and historical health records, allowing users to access, update, and review their data at any time, generating immediate notifications if a prohibited substance is detected in the sportsperson blood sample. The computing unit allows sportspersons to securely check in for health assessments, book appointments, review test results, and export their health data in formats, which can be shared with coaches, trainers, doctors, or anti-doping agencies.

[0043] For supplying power to electrical and electronically operated components, a battery is associated with the device. The battery powers electrical and electronic components by converting stored chemical energy into electrical energy. The battery’s terminals provide a voltage difference, allowing current to flow through circuits that supplies consistent energy to actuate and operate components like motors, sensors and microcontroller, ensuring seamless functionality.

[0044] The present invention works best in the following manner, where the platform 101 as disclosed in the invention is rested over the ground surface to accommodate the sportsperson. The platform 101 integrated with the weight sensor measures and records the sportsperson's body weight upon stepping onto the platform 101, that is stored in the sportsperson’s health profile created in the integrated database. The AI (artificial intelligence)-powered camera 102 for verifying the identity of the sportsperson. The camera 102 uses facial recognition protocols to ensure that only registered sportspersons are able to access the device and the camera 102 also performs facial expression analysis to detect signs of stress, fatigue, or discomfort, which are integrated into the sportsperson’s health profile. The height inspection unit, comprising the vertical slider 103 with scale indicators and the strip 104 that moves vertically along the slider 103 where the strip 104 automatically adjusts upward or downward to align with the top of the sportsperson’s head to measure height accurately and the microcontroller guides the vertical movement of the strip 104 for precise height measurement with the height value securely stored in the sportsperson’s health profile. The headgear unit 105 arranged via the L-shaped telescopic link 106, comprising EEG sensors for monitoring the sportsperson’s neurological activity. These sensors continuously capture brainwave signals such as alpha, beta, and theta waves, which are analyzed by the microcontroller to detect stress, fatigue, or cognitive load, and processed data is stored as part of the sportsperson’s health profile. The health monitoring unit integrated with the platform 101 for measuring vital health parameters of the sportsperson where each sensor continuously tracks vital health parameters in real-time and provides insights into the sportsperson’s physical condition during exertion. The health monitoring unit comprises of the ECG sensor for monitoring heart rate, the SpO2 sensor for measuring oxygen saturation levels, the temperature sensor for monitoring body temperature, and the FBG sensor for measuring blood pressure. The hand-resting unit 107 accommodates the hand of the sportsperson to provide the blood sample for doping analysis. The vein detector 108 is installed on tip of the L-shaped telescopic rod 109 locates the suitable vein. The injection unit 110 with the syringe 111 provided with the hand-resting unit 107 for drawing the blood sample. The hand-resting unit 107 further comprises the horizontal sliding unit 118 that allows the vein detector 108 to scan and locate the vein on the sportsperson's hand, after which the injection unit 110 is precisely guided to insert the syringe 111 into the identified vein for accurate blood collection.

[0045] In continuation, the isotope ratio mass spectrometry unit 112 analyzes the blood sample for detecting any prohibited substances or performance-enhancing drugs and the results of the analysis are securely recorded in the database. If any prohibited substances are detected the microcontroller automatically triggers the alert and prevents further participation in sports activities. The digital hand dynamometer 113 arranged via the L-shaped bar 114 tests the grip strength of the sportsperson. The pressure sensor integrated with the dynamometer 113 detects the force applied by the sportsperson when gripping the dynamometer 113, and the force reading is captured and recorded for providing the measure of the sportsperson’s grip strength. The 3D (three-dimensional) holographic projection unit 115 creates the real-time, full-body holographic image of the sportsperson based on the collected biometric data with vital health statistics such as heart rate, oxygen saturation, and grip strength projected around the hologram for real-time assessment and the unit is equipped with gesture-based interaction to allow users to navigate through test results and historical data. The thermal camera 116 monitors the sportsperson's muscles, detecting whether the muscles are in optimal condition or if any muscles are contracted or strained, generating the corresponding heat map that visually displays the health status of the sportsperson’s muscles and the heat map is further displayed on the display panel 117. The user-interface is inbuilt in the computing unit, maintaining individual profiles for each registered sportsperson, each profile stores details, biometric data, test results, and historical health records, allowing users to access, update, and review their data at any time, generating immediate notifications if the prohibited substance is detected in the sportsperson blood sample. The computing unit allows sportspersons to securely check in for health assessments, book appointments, review test results and export their health data in formats, which is be shared with coaches, trainers, doctors, or anti-doping agencies.

[0046] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) A bioinformatics and anti-doping inspection device, comprising:

i) a platform 101 adapted to be rested over a ground surface developed to accommodate a sportsperson, wherein said platform 101 is integrated with a weight sensor to measures and records the sportsperson's body weight upon stepping onto the platform 101, that is stored in a sportsperson’s health profile created in an integrated database;
ii) an AI (artificial intelligence)-powered camera 102 mounted on the platform 101 for verifying the identity of the sportsperson, wherein said camera 102 uses facial recognition protocols to ensure that only registered sportspersons are able to access the device, and the camera 102 also performs facial expression analysis to detect signs of stress, fatigue, or discomfort, which are integrated into the sportsperson’s health profile;
iii) a height inspection unit mounted on the platform 101, comprising a vertical slider 103 with scale indicators and a strip 104 that moves vertically along the slider 103, wherein the strip 104 automatically adjusts upward or downward to align with the top of the sportsperson’s head to measure height accurately, and an inbuilt microcontroller guides the vertical movement of the strip 104 for precise height measurement, with the height value securely stored in the sportsperson’s health profile;
iv) a headgear unit 105 arranged on tip of the slider 103 via a L-shaped telescopic link 106, comprising EEG sensors positioned at key scalp locations for monitoring the sportsperson’s neurological activity, wherein said sensors continuously capture brainwave signals such as alpha, beta, and theta waves, which are analyzed by the microcontroller to detect stress, fatigue, or cognitive load, and processed data is stored as part of the sportsperson’s health profile;
v) a health monitoring unit integrated with the platform 101 for measuring vital health parameters of the sportsperson, wherein each sensor continuously tracks vital health parameters in real-time and provides insights into the sportsperson’s physical condition during exertion;
vi) a hand-resting unit 107 arranged with the platform 101 adapted to accommodate hand of the sportsperson to provide a blood sample for doping analysis, wherein a vein detector 108 is installed on tip of a L-shaped telescopic rod 109 mounted on the hand-resting unit 107 that moves over the hand to locate a suitable vein;
vii) an injection unit 110 with a syringe 111 provided with the hand-resting unit 107 for drawing the blood sample, and an isotope ratio mass spectrometry unit 112 provided with the hand-resting unit 107 for analyzing the blood sample to detect any prohibited substances or performance-enhancing drugs, and the results of the analysis are securely recorded in the database;
viii) a digital hand dynamometer 113 is arranged with the device via an L-shaped bar 114 configured to test the grip strength of the sportsperson, wherein a pressure sensor integrated with the dynamometer 113 detects the force applied by the sportsperson when gripping the dynamometer 113, and the force reading is captured and recorded to provide a measure of the sportsperson’s grip strength; and
ix) a 3D (three-dimensional) holographic projection unit 115 mounted on the platform 101, wherein the projection unit 115 creates a real-time, full-body holographic image of the sportsperson based on the collected biometric data, with vital health statistics such as heart rate, oxygen saturation, and grip strength projected around the hologram for real-time assessment, and the unit is equipped with gesture-based interaction to allow users to navigate through test results and historical data.

2) The device as claimed in claim 1, wherein said health monitoring unit comprises of an ECG sensor for monitoring heart rate, an SpO2 sensor for measuring oxygen saturation levels, a temperature sensor for monitoring body temperature, and an FBG sensor for measuring blood pressure.

3) The device as claimed in claim 1, wherein a thermal camera 116 is integrated with the platform 101 that monitors the sportsperson's muscles, detecting whether the muscles are in optimal condition or if any muscles are contracted or strained, generating a corresponding heat map that visually displays the health status of the sportsperson’s muscles, and said heat map is further displayed on a display panel 117 provided on the platform 101.

4) The device as claimed in claim 1, wherein a user-interface is inbuilt in a computing unit, maintaining individual profiles for each registered sportsperson, each profile stores details, biometric data, test results, and historical health records, allowing users to access, update, and review their data at any time, generating immediate notifications if a prohibited substance is detected in the sportsperson blood sample.

5) The device as claimed in claim 1, wherein said hand-resting unit 107 further comprises of a horizontal sliding unit 118 that allows the vein detector 108 to scan and locate a vein on the sportsperson's hand, after which the injection unit 110 is precisely guided to insert a syringe 111 into the identified vein for accurate blood collection.

6) The device as claimed in claim 1, wherein if any prohibited substances are detected, the microcontroller automatically triggers an alert and prevents further participation in sports activities.

7) The device as claimed in claim 1, wherein said computing unit allows sportspersons to securely check in for health assessments, book appointments, review test results, and export their health data in formats, which can be shared with coaches, trainers, doctors, or anti-doping agencies.

8) The device as claimed in claim 1, wherein a battery is associated with said device for supplying power to electrical and electronically operated components associated with said device.

Documents

Application Documents

# Name Date
1 202521052737-STATEMENT OF UNDERTAKING (FORM 3) [30-05-2025(online)].pdf 2025-05-30
2 202521052737-REQUEST FOR EXAMINATION (FORM-18) [30-05-2025(online)].pdf 2025-05-30
3 202521052737-REQUEST FOR EARLY PUBLICATION(FORM-9) [30-05-2025(online)].pdf 2025-05-30
4 202521052737-PROOF OF RIGHT [30-05-2025(online)].pdf 2025-05-30
5 202521052737-POWER OF AUTHORITY [30-05-2025(online)].pdf 2025-05-30
6 202521052737-FORM-9 [30-05-2025(online)].pdf 2025-05-30
7 202521052737-FORM FOR SMALL ENTITY(FORM-28) [30-05-2025(online)].pdf 2025-05-30
8 202521052737-FORM 18 [30-05-2025(online)].pdf 2025-05-30
9 202521052737-FORM 1 [30-05-2025(online)].pdf 2025-05-30
10 202521052737-FIGURE OF ABSTRACT [30-05-2025(online)].pdf 2025-05-30
11 202521052737-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [30-05-2025(online)].pdf 2025-05-30
12 202521052737-EVIDENCE FOR REGISTRATION UNDER SSI [30-05-2025(online)].pdf 2025-05-30
13 202521052737-EDUCATIONAL INSTITUTION(S) [30-05-2025(online)].pdf 2025-05-30
14 202521052737-DRAWINGS [30-05-2025(online)].pdf 2025-05-30
15 202521052737-DECLARATION OF INVENTORSHIP (FORM 5) [30-05-2025(online)].pdf 2025-05-30
16 202521052737-COMPLETE SPECIFICATION [30-05-2025(online)].pdf 2025-05-30
17 Abstract.jpg 2025-06-18