JOURNAL ARTICLE

HOT Watch: IoT-Based Wearable Health Monitoring System

Abstract

Internet of Things (IoT) and wearables involve small embedded devices with sensors collecting data from their surroundings. Nowadays, People have added complexity as well as busyness to their lives and they don't give their health much thought due to their hectic routines. Current health monitoring systems are often cumbersome and inconvenient for patients, leading to poor adherence and delayed detection of health issues. To address this problem, Heart Rate Oxygen Rate Temperature Watch (HOT Watch) an IoT-based wearable health monitoring device has been proposed to track the user's health condition and notify the person with their health details. The HOT Watch employs sensors like the MLX90614 temperature sensor, AD8232 ECG (Electrocardiogram) Sensor, and MAX30100 oximeter sensor to gather health metrics from users. The HOT Watch employs Arduino technology and Bluetooth connectivity to transmit data to a mobile application and the Pan-Tompkins algorithm precisely determines the user's heart rate. The proposed method displays the essential health information and alerts users about their health status, including the location data obtained from the GPS sensor in the watch. By continuously tracking vital signs such as temperature, oxygen saturation, and heart rate, individuals can gain valuable insights into their overall health status. This real-time data allows users to monitor their well-being proactively and make informed decisions about their lifestyle and activities. The accuracy of the proposed HOT watch is 1.40%, 0.70%, and 2.47% higher than the existing Sensor Patch, WS-IoT, and Neo Wear respectively.

Keywords:
Wearable computer Bluetooth Computer science Global Positioning System Internet of Things Smartwatch Arduino Wearable technology Bluetooth Low Energy Real-time computing Accelerometer Computer security Embedded system Wireless Telecommunications

Metrics

14
Cited By
5.15
FWCI (Field Weighted Citation Impact)
23
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Non-Invasive Vital Sign Monitoring
Physical Sciences →  Engineering →  Biomedical Engineering

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