SMART-WATCH SYSTEM FOR CHILDREN'S HEALTH MONITORING USING MACHINE LEARNING AND MEDICINE PRESCRIPTION BASED ON DIAGNOSIS

Abstract

The present invention relates to a smart watch system specifically designed for children, comprising a wrist-worn device that integrates a microcontroller, multiple physiological sensors, a data processing unit, a secure communication module, and a machine learning-based diagnosis component. The system features a temperature sensor, hydration sensor, skin sensor, and blood health sensor to provide comprehensive health monitoring of children. The microcontroller serves as the central processing unit to manage data flow, while the data processing unit preprocesses the sensor data for accurate analysis. The machine learning module utilizes advanced algorithms to analyze the data and diagnose potential health issues, generating alerts and providing health recommendations. The system also includes a companion mobile application for caregivers to access health data in real-time, an automated medicine prescription module for suggesting suitable medications, and enhanced data privacy measures to protect sensitive health information. The smartwatch is designed with a child-friendly, comfortable wrist strap, an intuitive interface, and efficient power management for continuous use throughout the day.

Specification

Description:[013] The following sections of this article will provide various embodiments of the current invention with references to the accompanying drawings, whereby the reference numbers utilised in the picture correspond to like elements throughout the description. However, this invention is not limited to the embodiment described here and may be embodied in several other ways. Instead, the embodiment is included to ensure that this disclosure is extensive and complete and that individuals of ordinary skill in the art are properly informed of the extent of the invention. Numerical values and ranges are given for many parts of the implementations discussed in the following thorough discussion. These numbers and ranges are merely to be used as examples and are not meant to restrict the claims' applicability. A variety of materials are also recognised as fitting for certain aspects of the implementations. These materials should only be used as examples and are not meant to restrict the application of the innovation.
[014] Referring now to the drawings, these are illustrated in FIG. 1, the proposed smart watch system is a wrist-worn device designed specifically for children. The device includes a microcontroller, multiple sensors for measuring various physiological parameters, a data processing unit, a secure communication module, and a machine learning component for data analysis and diagnosis. The smart watch integrates a temperature sensor, hydration sensor, skin sensor, and a blood health sensor to obtain comprehensive physiological data.
[015] In accordance with another embodiment of the present invention, the microcontroller serves as the central unit, processing signals from the various sensors and managing data flow. The temperature sensor continuously monitors body temperature and detects deviations from normal values, allowing early intervention in case of fever or hypothermia. The hydration sensor utilizes bioimpedance analysis to measure the child's hydration levels, alerting the child or caregiver in case of dehydration risk. The skin sensor measures parameters such as skin moisture and potential irritations, which can indicate skin-related health issues. The blood health sensor measures blood oxygen levels (SpO2) and pulse rate, providing insights into cardiovascular and respiratory health.
[016] In accordance with another embodiment of the present invention, the data processing unit collects and preprocesses the sensor data, filtering out noise and ensuring accuracy. The processed data is then analyzed by the machine learning-based diagnosis module, which is trained on a pediatric health dataset. The model uses advanced algorithms, including support vector machines, decision trees, and neural networks, to recognize abnormal patterns and diagnose potential health issues such as fever, dehydration, or respiratory problems. The diagnosis results are then communicated to the caregiver via alerts, and appropriate recommendations are provided.
[017] In accordance with another embodiment of the present invention, the automated medicine prescription module suggests suitable medications based on the diagnosed condition. This module is integrated with a knowledge base of pediatric medical guidelines, which includes dosage information based on age, weight, and specific health conditions. Before any medical recommendation is communicated, an alert is generated for the caregiver or healthcare provider to approve the suggested action as shown in figure 2.
[018] In accordance with another embodiment of the present invention, the enhanced data privacy measures are implemented to protect sensitive health data. The smart watch uses end-to-end encryption to secure data transmission between the device and cloud infrastructure. The data is anonymized and stored securely in a cloud-based database, accessible only to authorized personnel with secure authentication protocols. The companion mobile application provides controlled access to health reports, enabling caregivers to view real-time and historical health data.
[019] The secure communication module ensures that health data can be shared safely with healthcare professionals. This module uses a combination of Wi-Fi and Bluetooth Low Energy (BLE) for data transmission, allowing seamless connectivity while minimizing power consumption. The health data can be transmitted to an external server for further analysis or shared with medical professionals in case of an emergency.
[020] The smart watch features a small LCD screen that displays real-time health information, including body temperature, hydration status, pulse rate, and skin condition. Alerts generated by the system are also displayed, ensuring that the child or caregiver is promptly informed of any health issues. Additionally, the companion mobile application provides a detailed dashboard for caregivers, showing health trends, alerts, and recommendations. The application also allows caregivers to input additional information, such as medication intake or symptoms, which can be factored into the machine learning model for more accurate health assessments. The system is designed to be child-friendly, with a comfortable and adjustable wrist strap and a durable, water-resistant casing. The interface is simple and intuitive, ensuring ease of use for both children and caregivers. The device also includes long battery life and efficient power management features, allowing for continuous use throughout the day without frequent recharging.
[021] The benefits and advantages that the present invention may offer have been discussed above with reference to particular embodiments. These benefits and advantages are not to be interpreted as critical, necessary, or essential features of any or all of the embodiments, nor are they to be read as any elements or constraints that might contribute to their occurring or becoming more evident.
[022] Although specific embodiments have been used to describe the current invention, it should be recognized that these embodiments are merely illustrative and that the invention is not limited to them. The aforementioned embodiments are open to numerous alterations, additions, and improvements. These adaptations, changes, additions, and enhancements are considered to be within the purview of the invention. , Claims:1. A smart watch system for children, comprising:
a wrist-worn housing containing a microcontroller, wherein the microcontroller serves as the central processing unit for processing signals from the sensors and managing data flow within the system,
a plurality of sensors configured to measure various physiological parameters, including:
a temperature sensor for continuously monitoring body temperature and detecting deviations from normal values,
a hydration sensor utilizing bioimpedance analysis to measure hydration levels and generate alerts in case of dehydration risk,
a skin sensor for measuring skin moisture and detecting potential skin irritations, and
a blood health sensor for measuring blood oxygen levels (SpO2) and pulse rate to provide insights into cardiovascular and respiratory health,
a data processing unit for collecting and preprocessing sensor data, filtering out noise, and ensuring accuracy prior to analysis,
a secure communication module for securely transmitting health data between the device and cloud infrastructure using Wi-Fi and Bluetooth Low Energy (BLE);
a small LCD screen configured to display real-time health information including body temperature, hydration status, pulse rate, skin condition, and alerts generated by the system;
an automated medicine prescription module configured to suggest suitable medications based on the diagnosed health condition and integrated with a pediatric medical knowledge base; and
a machine learning component for data analysis and diagnosis, comprising a diagnosis module that analyzes processed data using a pediatric health dataset and identifies potential health issues based on abnormal patterns using support vector machines, decision trees, and neural networks;
wherein the device is configured with a child-friendly design, including a comfortable and adjustable wrist strap, a durable water-resistant casing, and an intuitive interface for ease of use.
2. The smart watch system as claimed in claim 1, wherein the microcontroller serves as a central processing unit configured to process signals from the plurality of sensors and manage the data flow within the system.
3. The smart watch system as claimed in claim 1, wherein the temperature sensor is configured to continuously monitor the child's body temperature and detect deviations from normal values, thereby enabling early intervention in cases of fever or hypothermia.
4. The smart watch system as claimed in claim 1, wherein the hydration sensor is configured to utilize bioimpedance analysis to measure the child's hydration levels and to generate alerts in case of dehydration risk.
5. The smart watch system as claimed in claim 1, wherein the skin sensor is configured to measure skin moisture and potential skin irritations to detect skin-related health issues.
6. The smart watch system as claimed in claim 1, wherein the blood health sensor is configured to measure blood oxygen levels (SpO2) and pulse rate, thereby providing insights into cardiovascular and respiratory health.
7. The smart watch system as claimed in claim 1, wherein the data processing unit is configured to collect and preprocess the sensor data, filter out noise, and ensure accuracy prior to analysis.
8. The smart watch system as claimed in claim 1, wherein the machine learning component comprises a diagnosis module configured to analyze processed data using a pediatric health dataset and to diagnose potential health issues based on abnormal patterns using support vector machines, decision trees, and neural networks.
9. The smart watch system as claimed in claim 1, wherein the diagnosis module is configured to generate alerts and provide appropriate health recommendations based on the diagnosed health condition.
10. The smart watch system of as claimed in claim 1, wherein the automated medicine prescription module is configured to generate alerts requiring approval from a caregiver or healthcare provider before any medical recommendation is communicated.

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