DEVICE AND METHOD FOR MONITORING BLOOD PARAMETERS OF A USER

Abstract

Embodiments of the present disclosure reFlate to a device (102) and a method (300) for monitoring blood parameters of a user. The device (102) includes a plurality of sensors (102-2) and a processor (202) operatively coupled with the plurality of sensors (102-2). The device (102) is configured to receive data pertaining to a blood parameter of a user from the plurality of sensors (102-2) and analyse the data to generate an assessment report comprising a health status of the user. The device (102) is further configured to display the assessment report to the user and store the assessment report for accessibility to the assessment report in future. The device (102) is configured to conduct non-invasive testing of blood parameters of the user. The device (102) non-invasively monitors blood parameters like glucose, SpO₂, and heart rate, displaying real-time results for proactive health management.

Specification

Description:TECHNICAL FIELD
[0001] The present disclosure relates to the field of medical devices. More particularly, the present disclosure relates to a device and method for non-invasive monitoring blood parameters of a user.

BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art.
[0003] Blood tests are crucial for assessing overall health, as they provide vital information about organ function, immune response, and risk factors for conditions like heart disease or diabetes. They help in diagnosing diseases, monitoring treatment effectiveness, and detecting potential health issues early. Regular blood tests enable proactive health management, allowing for timely intervention when needed. Traditional Blood Glucose Monitors, primarily relying on finger-prick methods, have been the cornerstone of diabetes management for decades. However, they require multiple skin punctures daily, leading to leading to discomfort, reduced patient compliance, and an increased risk of infection. Such factors often result in suboptimal blood glucose management, negatively affecting patient health outcomes. Continuous Glucose Monitors (CGMs) provide real-time glucose data, they still require subcutaneous sensor insertion, maintaining some degree of invasiveness. These sensors need regular replacement (every 7-14 days), which incurs high costs and inconvenience for users. Additionally, issues such as sensor adhesion and calibration requirements may affect accuracy and cause skin irritation. Pulse oximeter, which measures blood oxygen saturation (SpO2) and pulse rate via optical sensors, are favoured for their non-invasive nature and ease of use. However, they are limited in scope, failing to provide comprehensive health data such as blood glucose levels. Moreover, they require frequent recalibration or sensor replacement to maintain accuracy, which leads to increased costs and user inconvenience. Many current needleless or minimally invasive devices suffer from significant accuracy and precision challenges, particularly in patients with complex conditions like diabetes and cardiovascular diseases. These inaccuracies may compromise patient outcomes, as they can lead to inconsistent data and misinterpretations of a patient's health status. Many health monitoring devices rely on rechargeable batteries, which degrade over time and require regular charging. This disrupts continuous monitoring and adds an extra burden on patients. Managing charging schedules and dealing with battery downtimes also complicates the overall user experience.
[0004] To address these limitations, the present invention provides a novel device and method that overcome the shortcomings of the prior art.

OBJECTS OF THE PRESENT DISCLOSURE
[0005] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0006] It is a primary object of the present disclosure to provide a device for non-invasive monitoring blood parameters of a user that eliminates the need for subcutaneous sensors or finger-pricks, providing patients with a completely non-invasive alternative that ensures comfort and ease of use.
[0007] It is another object of the present disclosure to provide a device for non-invasive monitoring blood parameters of a user that utilizes advanced sensors to measure SpO2, pulse rate, and blood glucose levels all in a single, compact, finger-wearable form.
[0008] It is yet another object of the present disclosure to provide a device for non-invasive monitoring blood parameters of a user that operates without frequent recalibration or sensor replacement, thereby enhancing patient convenience and lowering long-term ownership costs.
[0009] It is yet another object of the present disclosure to provide a device for non-invasive monitoring blood parameters of a user that provides both patients and healthcare providers with real-time, continuous data, allowing them to monitor subtle physiological changes and make proactive decisions in chronic disease management.
SUMMARY
[0010] This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0011] The present disclosure relates to the field of medical devices. More particularly, the present disclosure relates to a device and method for non-invasive monitoring blood parameters of a user.
[0012] In an aspect of the present disclosure, a device non-invasive monitoring blood parameters of a user is disclosed. The device includes a plurality of sensors and a processor operatively coupled with the plurality of sensors. The device further includes a memory coupled to the processor, wherein the memory comprises processor-executable instructions, which on execution, causes the processor to execute a sequence of tasks. The device is configured to receive data pertaining to a blood parameter of a user from the plurality of sensors and analyse the data to generate an assessment report comprising a health status of the user. The device is further configured to display the assessment report to the user and store the assessment report for accessibility to the assessment report in future. The device is configured to conduct non-invasive testing of blood parameters of the user.
[0013] In an aspect of the present disclosure, a method of non-invasive monitoring blood parameters of a user is disclosed. The method begins with receiving, by the processor, the data pertaining to the blood parameter of the user from the plurality of sensors. The method proceeds with analysing, by the processor, the data to generate the assessment report comprising the health status of the user. The method proceeds with displaying, by the processor, the assessment report to the user. The method ends with storing, by the processor, the assessment report for accessibility to the assessment report in future.

BRIEF DESCRIPTION OF DRAWINGS
[0014] The accompanying drawings are included to provide a further understanding of the present disclosure and are incorporated in, and constitute a part of this specification. The drawings illustrate exemplary embodiments of the present disclosure, and together with the description, serve to explain the principles of the present disclosure.
[0015] In the figures, similar components, and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description applies to any one of the similar components having the same first reference label irrespective of the second reference label.
[0016] FIG. 1 illustrates an exemplary representation of architecture of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0017] FIG. 2 illustrates a block diagram representation of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0018] FIG. 3 illustrates an exemplary view of a flow diagram of the proposed method for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0019] FIG. 4 illustrates an exemplary circuit diagram representation of a Printed Control Board (PCB) of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0020] FIG. 5 illustrates an exemplary representation a physical assembly of the proposed device for non-invasive monitoring of blood parameters of a user, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0021] 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 as defined by the appended claims.
[0022] In an embodiment of the present disclosure, a device non-invasive monitoring blood parameters of a user is disclosed. The device includes a plurality of sensors and a processor operatively coupled with the plurality of sensors. The device further includes a memory coupled to the processor, wherein the memory comprises processor-executable instructions, which on execution, causes the processor to execute a sequence of tasks. The device is configured to receive data pertaining to a blood parameter of a user from the plurality of sensors and analyse the data to generate an assessment report comprising a health status of the user. The device is further configured to display the assessment report to the user and store the assessment report for accessibility to the assessment report in future. The device is configured to conduct non-invasive testing of blood parameters of the user.
[0023] In an embodiment, the plurality of sensors comprises optical sensors for detecting oxygen saturation (SpO2) level in blood and pulse rate and a glucose sensor for detecting blood glucose level of the user.
[0024] In an embodiment, the plurality of sensors is configured to conduct blood tests and display the assessment report to the user in real-time.
[0025] In an embodiment, the processor is configured to save the data collected by the plurality of sensors for analysis of historical data pertaining to the blood parameter of the user.
[0026] In an embodiment, the processor is configured to activate a latch mechanism for insertion and removal of strips for measuring blood glucose level.
[0027] In an embodiment, the processor is powered by a replaceable battery pack.
[0028] In an embodiment, the processor is configured to apply calibration techniques to scale and adjust the data from the plurality of sensors to match expected blood parameters.
[0029] In an embodiment, the processor is configured to store the assessment report in an encrypted form for data privacy and security.
[0030] In an embodiment of the present disclosure, a method of non-invasive monitoring blood parameters of a user is disclosed. The method begins with receiving, by the processor, the data pertaining to the blood parameter of the user from the plurality of sensors. The method proceeds with analysing, by the processor, the data to generate the assessment report comprising the health status of the user. The method proceeds with displaying, by the processor, the assessment report to the user. The method ends with storing, by the processor, the assessment report for accessibility to the assessment report in future.
[0031] The various embodiments throughout the disclosure will be explained in more detail with reference to FIGs. 1-5.
[0032] FIG. 1 illustrates an exemplary representation of architecture of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0033] Illustrated in FIG. 1 is an exemplary representation of the architecture 100 of the device 102 for non-invasive monitoring blood parameters of a user. The device 102 is connected to a network 104, one or more computing devices 106-1, 106-2…,106-N (individually referred to as one or more computing devices 106), one or more users 108-1, 108-2…,108-N (individually referred to as one or more users 108), and a centralized server 110. The device 102 comprises a processor 202 and a memory 204. The memory 204 may comprise a set of instructions, which when executed, causes the processor 202 to enable non-invasive monitoring blood parameters of a user. The device 102 further includes a plurality of sensors 102-2. The plurality of sensors 102-2 includes a INA219 current sensor. The current sensor monitors current and voltage, ensuring that the device 102 functions accurately. The current sensor helps with the I2C communication protocol, allowing smooth and reliable data exchange between components, contributing to precise readings and efficient power management. The plurality of sensors 102-2 further includes a MAX30100 sensor that is the primary sensor for SpO2 and pulse rate measurements. The MAX30100 sensor uses a dual-LED system and a photodetector to assess blood oxygen saturation and heart rate by detecting the absorbance of light in pulsating blood. This optical technique provides non-invasive readings, making it convenient for frequent monitoring. The plurality of sensors 102-2 further includes a glucose sensor configured to measure blood glucose levels. The user places a blood sample on a disposable strip that reacts chemically with enzymes embedded on the strip. The reaction produces a detectable electrical signal, captured by the current sensor and converted to a glucose reading. The one or more user transactions are received via the one or more computing devices 106.
[0034] In an embodiment of the present disclosure, the device 102 is a portable, non-invasive tool that is configured to monitor essential blood parameters like oxygen saturation (SpO2), heart rate, and glucose levels, making health tracking simple and accessible. Built with a compact, lightweight design, the device 102 houses the plurality of sensors 102-2 that gathers and processes readings without the need for invasive blood sampling. The device 102-2 uses an SpO2 and pulse sensor to detect oxygen levels and heart rate by analysing light absorption through the skin. The plurality of sensors 102-2 also includes the dedicated glucose sensor configured to provide accurate blood glucose estimates through a specially designed strip, requiring only a minimal sample. An Arduino Nano microcontroller manages all components, of the device 102 ensuring precise data acquisition and processing. The current sensor monitors the power consumption of the device 102 to optimize battery life. Users may view results instantly on an integrated display or through a connected mobile app, which stores previous readings, tracks trends, and displays historical data. The app offers a secure login, user profile customization, and options to save, review, and analyse past records. With its convenient, user-friendly design, this device enables regular health monitoring anytime, promoting proactive care in a practical, accessible way.
[0035] The device 102 utilizes semi-invasive technology coupled with the microcontroller, Arduino, to measure blood oxygen saturation, pulse rate, and blood glucose levels with precision. The device 102 also captures real-time data on SpO2 and pulse rates, providing patients and healthcare providers with continuous, accurate monitoring of vital signs. The device 102 is configured to deliver a pain-free, patient-friendly experience, reducing discomfort during blood glucose testing. The intuitive interface, integrated with the device 102, enables the users to effortlessly navigate their medical data, ensuring the users are constantly informed about their health. Additionally, real-time data updates allow for continuous tracking, making the device 102 an invaluable tool for managing chronic conditions.
[0036] The device 102 provides comprehensive health monitoring across multiple parameters without any invasive procedures. By utilizing advanced optical sensors, the device 102 measures SpO2, pulse rate, and blood glucose levels all in a single, compact, finger-wearable form. Thus, the device 102 eliminates the need for subcutaneous sensors or finger-pricks, providing patients with a completely non-invasive alternative that ensures comfort and ease of use. Further, the device 102 significantly reduces maintenance needs. The device 102 operates without frequent recalibration or sensor replacement, thereby enhancing patient convenience and lowering long-term ownership costs. This makes the device 102 more accessible and sustainable for a broad range of patients, providing users with a low-maintenance solution that does not compromise on accuracy.
[0037] The device 102 is powered by a simple, replaceable battery, like those used in household electronics. This eliminates the complexity associated with rechargeable batteries and the need for regular charging schedules. Patients can continue to monitor their health uninterrupted by simply replacing the battery when necessary, ensuring continuous monitoring and a reliable long-term solution. The device 102 enhances patient comfort. The compact and lightweight design of the device 102 allows for seamless integration into the daily routines of patients, improving overall compliance. This makes the device 102 particularly beneficial for patients with chronic conditions who require constant monitoring but struggle with the inconveniences of traditional health monitoring methods. Utilizing sophisticated detection methods, the device 102 delivers highly accurate and reliable health data across multiple parameters. This provides both patients and healthcare providers with real-time, continuous data, allowing users to monitor subtle physiological changes and make proactive decisions in chronic disease management. By offering a more comprehensive view of patient health, the device 102 supports early intervention and improves long-term health outcomes.
[0038] In an embodiment, the device 102 comprises the processor 202 operatively coupled to the memory 204 that comprises a set of instructions, which upon being executed, causes the processor 202 to enable non-invasive monitoring blood parameters of a user.
[0039] FIG. 2 illustrates a block diagram representation of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0040] Illustrated in FIG. 2 is a block diagram representation 200 of the device 102 for non-invasive monitoring blood parameters of a user. The device 102 comprises one or more processor(s) 202. Among other capabilities, the one or more processor(s) 202 are configured to fetch and execute computer-readable instructions stored in the memory 204 of the device. The memory 204 stores one or more computer-readable instructions or routines, which are fetched and executed to enable non-invasive monitoring blood parameters of a user.
[0041] In an embodiment, the device 102 also comprises an interface(s) 206. The interface(s) 206 facilitates communication of the user 108 with the system 102. The interface(s) 206 also provides a communication pathway for one or more components integrated with the system 102. The interface 206 is configured to display real-time health data, such as oxygen saturation, heart rate, and glucose levels, in a clear, accessible format to the user. Further, the interface 206 provides easy navigation for selecting tests, viewing results, and saving readings. Through a secure login, users may access their personalized profiles, track past records, and update personal information at the interface 206. The interface 206 also allows connectivity with a mobile app for enhanced data storage and analysis. This intuitive setup supports seamless health monitoring and record-keeping for users.
[0042] In an embodiment, the processing engine(s) 208 are implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) 208. The database 220 comprises data that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) 208.
[0043] In an embodiment, the processing engine(s) 208 can include a data acquisition module 210, a data analysis module 212, a display module 214, a storage module 216, and other module(s) 218, but not limited to the likes. The other module(s) 218 implements functionalities that supplement applications or functions performed by the system 102 or the processing engine(s) 208. The data (or database 220) serves, amongst other things, as a repository for storing data processed, received, and generated by one or more of the modules.
[0044] In an embodiment, the device 102 may be configured to receive data pertaining to a blood parameter of a user from the plurality of sensors 102-2 via the data acquisition module 210. The device 102 is equipped with the plurality of sensors 102-2, each dedicated to capturing specific blood parameters such as oxygen saturation, heart rate, and glucose levels. The plurality of sensors 102-2 sends real-time data to the central microcontroller, which processes and consolidates the information. The microcontroller manages the readings from each sensor and translates them into usable health metrics. This setup enables comprehensive monitoring, allowing users to view multiple health indicators on a single interface. The data may be displayed on the device 102 or transmitted to the mobile app for further analysis. Through this integration, users gain quick and reliable insights into their health.
[0045] In an embodiment, the device 102 may be configured to analyse the data to generate an assessment report comprising a health status of the user via the data analysis module 212. The device 102 is configured to analyse data collected from the plurality of sensors 102-2 to create a detailed assessment report on the user's health status. By processing measurements like oxygen saturation, heart rate, and glucose levels, the device 102 identifies trends and compares readings against healthy ranges. The device 102 then generates a summary report indicating the user's overall health, highlighting any potential concerns or abnormalities. This report is accessible on the device interface or the mobile app, providing users with easy-to-understand feedback on their wellness. Such insights enable proactive health management and informed decision-making for users and healthcare providers.
[0046] In an embodiment, the device 102 may be configured to display the assessment report to the user via the display module 214. The device 102 is configured to display the generated health assessment report directly to the user, making health insights immediately accessible. The assessment report, based on the analysed data from the plurality of sensors 102-2, summarizes the vital parameters of the user, such as oxygen levels, heart rate, and glucose readings. Presented in an easy-to-read format, the assessment report highlights key metrics and any areas of concern. Users may view the assessment report through the connected mobile app. This direct display provides convenient, on-the-spot feedback, supporting users in tracking their health status over time.
[0047] In an embodiment, the device 102 may be configured to store the assessment report for accessibility to the assessment report in future via the storage module 216. The device 102 is configured to store each health assessment report, allowing users to access past reports for future reference and trend analysis. This feature enables users to track changes in their health parameters, such as oxygen saturation, heart rate, and glucose levels, over time. The stored reports are organized chronologically, making it easy to retrieve and review historical health data. Users may access the saved reports on the device 102 or through the mobile app, which synchronizes and secures the data. By maintaining a health history, the device 102 supports proactive health management and helps users and healthcare providers make informed decisions based on long-term trends.
[0048] There are separate pages for each parameter as displayed to the user on the interface of the app connected to the device 102. There is also a provision for the user to save the readings obtained after testing. The device 102 also saves the previous reading so that analysis of the parameter can take place. There is also a history page in which the user can see their past test records which they have conducted. The history page contains the name of the test conducted along with the result of it and the name of the user also appears on the page. The app provides a provision for Sign-Up and Login for the user. There is also a provision for updating the user profile with basic details like name, age and ailments. There is a home page which appears once the user is logged into his account. The home page contains the name of the user and the user can choose which test they want to conduct at the home page. The home page also displays records of only the user who has logged into the app. At first, the user logs into the mobile application. A new user is required to sign-up and then log into the app. Then on the home page the user has to choose which test they want to conduct. Once the test has been successfully conducted, the user can save the results of the test. Also, when they open that test page again, the previous saved record will be there. Also, the user can browse the history page to keep track of readings of their glucose, SpO2 levels, and pulse levels on this page. If the user wants to change their basic details, they can go to the Update profile page. To make the app more interactive, the user profile also contains a provision to upload their picture which will be visible in their profile.
[0049] FIG. 3 illustrates an exemplary view of a flow diagram of the proposed method for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0050] Illustrated in FIG. 3 is a flow diagram representation of the method 300 for non-invasive monitoring blood parameters of a user. The method 300 begins with receiving 302, by the processor 202, the data pertaining to the blood parameter of the user from the plurality of sensors 102-2. The method proceeds with analysing 304, by the processor 202, the data to generate the assessment report comprising the health status of the user. The method proceeds with displaying 306, by the processor 202, the assessment report to the user. The method ends with storing 308, by the processor 202, the assessment report for accessibility to the assessment report in future.
[0051] In an embodiment of the present disclosure, the processor 202 is an Arduino Nano microcontroller. The microcontroller plays a pivotal role by coordinating the plurality of sensors 102-2, power management, and data exchange functions. The Arduino Nano constantly monitors the plurality of sensors 102-2 connected to it, namely the MAX30100 sensor for pulse rate and SpO2 measurements, the INA219 current sensor for voltage and current monitoring, and the glucose sensor. The microcontroller reads analog or digital signals from the plurality of sensors 102-2, depending on the type of data each one produces. Before storing or transmitting data, the microcontroller processes the raw sensor signals to make them interpretable. For example, the microcontroller reads analog signals from the MAX30100 sensor that represent changes in light absorbance due to blood flow and converts these signals into digital readings for oxygen saturation and pulse rate. The microcontroller applies calibration techniques to ensure that the sensor readings are accurate. For instance, the microcontroller might scale and adjust the raw current readings from the INA219 sensor to match expected parameters, enhancing measurement reliability. The Arduino Nano, in conjunction with the INA219 current sensor, monitors the power consumption of the device 102. This helps prevent power shortages by alerting users when the battery is low or needs replacement. By assessing voltage and current levels, the microcontroller ensures the device 102 remains operational and conserves power where possible. The microcontroller manages power flow to the plurality of sensors 102-2 and other components, ensuring they are only powered when necessary. This selective power distribution minimizes energy consumption, prolonging battery life, and maintaining the portability of the device 102-2. The microcontroller uses the I2C communication protocol to facilitate data transfer between various components, particularly the INA219 sensor. I2C enables multiple components to communicate over a single shared bus, which simplifies wiring and allows for simultaneous monitoring of current, voltage, and sensor data. The microcontroller transfers processed data to the mobile application via Bluetooth or other wireless protocols (if such a module is integrated). This connection allows for seamless transmission of health data like glucose, SpO2, and pulse readings to the app for real-time display and storage. The microcontroller continually monitors each sensor's operational status, identifying if a sensor goes offline or malfunctions. For example, if the microcontroller detects an inconsistent current reading from the INA219 sensor, the microcontroller may alert the user or shut down non-essential functions to conserve power. If the microcontroller identifies an error, such as a low battery or data transmission failure, the microcontroller can automatically adjust operations to ensure that the device continues to function. The microcontroller might temporarily disable certain sensors to conserve battery or attempt to re-establish communication with the mobile app. The microcontroller stores recent readings from each test until they are transmitted to the mobile app. This allows the user to access data even if the app connection is temporarily lost, ensuring no data is lost between sessions. If the device 102 has a real-time clock or receives a timestamp from the mobile app, the microcontroller can log readings with timestamps. This feature allows users to track historical trends in their health parameters, an essential function for long-term monitoring. The microcontroller handles user authentication by interfacing with the mobile app's login credentials. This function ensures that sensitive health data is only accessible to the authorized user. If necessary, the microcontroller may encrypt data before transmitting it to the mobile app, especially when sensitive information like glucose levels or pulse rate is involved. This function protects user data privacy and security. The Arduino Nano microcontroller is the operational core of the device 102, managing sensor data acquisition, power distribution, communication, user interface control, error handling, data storage, and security. By automating these complex tasks, the microcontroller allows the device to operate efficiently and autonomously, making it highly reliable and easy to use for health monitoring in diverse settings.
[0052] FIG. 4 illustrates an exemplary circuit diagram representation of a Printed Control Board (PCB) of the proposed device for non-invasive monitoring blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0053] Illustrated in FIG. 4 is a representation of a PCB of the device 102. The Arduino Nano microcontroller 202 (alternatively referred to as the processor 202) is the foundation of the device 102 in which all the components are connected. The Arduino Nano 102 is the software that used to integrate the hardware with the software of the device 102. The Arduino Nano microcontroller 202 is the central control unit of the device 102, responsible for managing all data collection, processing, and communication functions. The Arduino Nano microcontroller 202 gathers readings from the plurality of sensors 102-2, such as those measuring oxygen saturation, heart rate, and glucose levels, and processes this data to generate real-time health insights. The Arduino Nano microcontroller 202 also coordinates power management, optimizing battery usage to extend device operation. Through the I2C communication protocol, the Arduino Nano microcontroller 202 enables smooth data transfer between components, including the current sensor for energy monitoring. Additionally, the Arduino Nano microcontroller 202 facilitates data transmission to the mobile app, where users can view, save, and analyse their health metrics. By automating these functions, the Arduino Nano microcontroller 202 ensures that the device 102 operates efficiently and accurately for continuous health monitoring.
[0054] There is provided with the INA219 current sensor 402. The INA219 current sensor 402 monitors the electrical current and voltage within the device 102, playing a crucial role in power management. The INA219 current sensor 402 accurately measures the current flowing through the circuit and the voltage across components, allowing the device 102 to monitor power consumption in real time. The INA219 current sensor 402 helps prevent power-related issues by alerting the device 102 when battery levels are low or if there is an abnormal power draw, ensuring stable operation. The INA219 current sensor 402 uses the I2C communication protocol to transmit data to the Arduino Nano microcontroller 202, which processes the readings for efficient energy distribution. By tracking power usage, the INA219 current sensor 402 supports battery conservation and enhances the reliability of the device 102 during continuous monitoring.
[0055] There is further provided the MAX30100 sensor 404 and the glucose sensor 406. The MAX30100 sensor 404 is a combined pulse oximeter and heart-rate monitor configured to measure blood oxygen saturation (SpO2) and heart rate. The MAX30100 sensor 404 works by emitting red and infrared light through two Light Emitting Diodes (LEDs), which penetrate the skin and are partially absorbed by blood vessels. A photodetector then captures the amount of light reflected back, which varies with the user's pulse and blood oxygen levels. The MAX30100 sensor 404 processes these light absorption changes to determine the SpO2 level and heart rate. This data is sent to the Arduino Nano microcontroller 202, which further analyses the data and displays the results. By providing real-time measurements, the MAX30100 sensor 404 allows the device 102 to monitor critical health indicators non-invasively. The glucose sensor 406 in the device 102 measures the blood glucose level through a chemical reaction on a test strip. When a small blood sample is placed on the strip, enzymes react with glucose in the blood, generating a tiny electrical current proportional to the glucose concentration. The glucose sensor 406 detects this current, and the signal is transmitted to the Arduino Nano microcontroller 202 for processing. Using the current reading, the device 102 calculates the blood glucose level of the user and displays it on the interface. This non-invasive technique provides a quick, accessible way to monitor glucose without needing a traditional blood test. Regular glucose readings help users manage and track their health more effectively, especially for those with conditions like diabetes.
[0056] FIG. 5 illustrates an exemplary representation a physical assembly of the proposed device for non-invasive monitoring of blood parameters of a user, in accordance with an embodiment of the present disclosure.
[0057] Illustrated in FIG. 5 is a physical assembly of the device 102. The main casing of the device 102 is provided with a top enclosure 502 that protects the internal components, including plurality of sensors 102-2 and the microcontroller 202. The top enclosure 502 ensures that the device 102 remains compact and portable, making it easy for users to carry and handle. The top enclosure 502 also features designated openings or slots, such as for the display, glucose strip insertion, and any buttons, ensuring user-friendly access to essential functions. Additionally, the top enclosure 502 shields sensitive electronics from environmental factors like dust and moisture, enhancing the device's longevity and reliability. There is provided a circular cutout slot for blood glucose 504. The circular cutout slot for blood glucose 504 on the device 102 serves as an insertion point for glucose test strips. This opening allows users to easily place a test strip into the glucose sensor 406 for blood sample analysis. The design of the circular cutout slot for blood glucose 504 ensures accurate alignment of the strip with the glucose sensor 406, promoting reliable and consistent readings. The circular cutout slot for blood glucose 504 provides a convenient, guided access point that simplifies the glucose testing process for users. Additionally, the circular cutout slot for blood glucose 504 helps protect the glucose sensor 406 by limiting exposure when not in use, maintaining device hygiene and functionality. There is further provided a square cutout slot for SpO2 measurement 506. The square cutout slot for SpO₂ measurement 506 on the device 102 allows the user to place their fingertip over the embedded MAX30100 sensor 404 for accurate readings. The square cutout slot for SpO₂ measurement 506 aligns the finger precisely with the MAX30100 sensor 404, optimizing light transmission and detection for reliable oxygen saturation and heart rate measurements. The shape of the square cutout slot for SpO₂ measurement 506 ensures the user's finger remains steady during measurement, reducing interference from movement. By isolating the sensor area, the square cutout slot for SpO₂ measurement 506 also helps protect the MAX30100 sensor 404 from dust and other contaminants. This design feature enhances both measurement accuracy and device durability. Screw assemblies 508 in the device 102 secure the outer enclosures, keeping all internal components firmly in place. The screw assemblies 508 provide structural stability, ensuring that the sensors, microcontroller, battery, and other hardware remain aligned and protected during use. The screws also allow for easy access when maintenance or replacement of internal parts is needed, making the device serviceable. By tightly fastening the enclosure, the screw assemblies 508 help shield the device's electronics from external impacts and vibrations. This contributes to the device's longevity and reliability, especially in portable applications. There are provided holes in PCB for screw installation 510 (alternatively referred to as holes 510). The holes 510 are specifically designed to accommodate screws, enabling secure mounting of the PCB within the device enclosure. The holes 510 align with the screw assemblies, allowing the PCB to be firmly fixed in place, which prevents movement or displacement during use. By stabilizing the PCB, the holes 510 help maintain reliable connections between components, ensuring consistent performance. The holes 510 also facilitate easy assembly and disassembly for maintenance or component replacement. This secure mounting protects the delicate circuitry from potential damage due to vibrations or external impacts. There are also provided cutout slots for output cables 512. The cutout slots for output cables 512 on the device 102 allow cables to pass through the top enclosure 502, enabling secure and organized connections to external components or power sources. The cutout slots for output cables 512 are positioned to minimize cable strain and reduce wear, preventing accidental disconnection or damage. The cutout slots for output cables 512 also help maintain a clean, compact design by guiding cables out of the device in an orderly way. By protecting cables from bending or pinching, the cutout slots for output cables 512 enhance both the durability and reliability of the device's wiring. This thoughtful design feature supports safe, stable operation while keeping the device 102 user-friendly and portable. The device 102 is provided with a bottom enclosure 514. The bottom enclosure 514 serves as the foundational support, housing key internal components like the PCB, battery, and the plurality of sensors 102-2. The bottom enclosure 514 protects these components from external elements such as dust, moisture, and impact, contributing to the durability of the device 102. The bottom enclosure 514 also provides a secure base for the top enclosure 502 and connects seamlessly with it, ensuring the device 102 remains compact and stable. Additionally, the bottom enclosure 514 features mounting points for screw assemblies and cutouts for output cables, aiding in organized assembly and cable management. The design of the bottom enclosure 514 ensures the internal stability and longevity of the device 102 in various conditions. There is also provided a wiring port at the bottom-left side of the device 102. The wiring port allows for the connection of essential wiring for power or data transmission, ensuring that the internal sensors and components are properly integrated with the external systems.
[0058] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions, or examples, which are comprised to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
 
, Claims:1. A device (102) for monitoring blood parameters of a user, the device (102) comprising:
a plurality of sensors (102-2);
a processor (202) operatively coupled with the plurality of sensors (102-2);
a memory (204) coupled to the processor (202), wherein the memory (204) comprises processor-executable instructions, which on execution, causes the processor (202) to:
receive data pertaining to a blood parameter of a user from the plurality of sensors (102-2);
analyse the data to generate an assessment report comprising a health status of the user;
display the assessment report to the user; and
store the assessment report for accessibility to the assessment report in future.
wherein the device (102) is configured to conduct non-invasive testing of blood parameters of the user in real-time.
2. The device (102) as claimed in claim 1, wherein the plurality of sensors (102-2) comprises optical sensors for detecting oxygen saturation (SpO2) level in blood and pulse rate, a glucose sensor for detecting blood glucose level of the user and any combination thereof.
3. The device (102) as claimed in claim 1, wherein the plurality of sensors (102-2) is configured to conduct blood tests and display the assessment report to the user in real-time.
4. The device (102) as claimed in claim 1, wherein the processor (202) is configured to save the data collected by the plurality of sensors (102-2) for analysis of historical data pertaining to the blood parameters of the user.
5. The device (102) as claimed in claim 1, wherein the processor (202) is configured to activate a latch mechanism for insertion and removal of strips for measuring blood glucose level.
6. The device (102) as claimed in claim 1, wherein the processor (202) is powered by a replaceable battery pack.
7. The device (102) as claimed in claim 1, wherein the processor (202) is configured to apply calibration techniques to scale and adjust the data from the plurality of sensors (102-2) to match expected blood parameters.
8. The device (102) as claimed in claim 1, wherein the processor (202) is configured to store the assessment report in an encrypted form for data privacy and security.
9. A method (300) for monitoring blood parameters of a user, the method (300) comprising steps of:
receiving, by a processor, data pertaining to a blood parameter of a user from the plurality of sensors (102-2),
analysing, by the processor, the data to generate an assessment report comprising a health status of the user;
displaying, by the processor, the assessment report to the user; and
storing, by the processor, the assessment report for accessibility to the assessment report in future.
wherein the device (102) is configured to conduct non-invasive testing of blood parameters of the user.

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