A STUDY ON THE RESEARCH AND DEVELOPMENT OF HIGHLY ENERGY-EFFICIENT ELECTRONIC CIRCUITS FOR BODY SOUND MONITORING APPLICATIONS

Authors

  • Yan Linbo Lincoln University College, 47301 Petaling Jaya, Selangor D. E., Malaysia.
  • Muhammad Ezanuddin Abdul Aziz Lincoln University College, 47301 Petaling Jaya, Selangor D. E., Malaysia.

Abstract

This work mainly aims at energy-efficient electronic circuit development for monitoring body sound, especially non-invasive real-time health diagnostics. The high increase in the wearables of health devices has brought about low-power advancement circuits to continuously monitor physiological signals, including heartbeats, lung sounds, and many other internal body sounds- the essentials in disease detection and management. This study focuses on ultra-low-power sensors, analog-to-digital converters, and efficient signal-processing techniques that reduce power consumption without compromising data accuracy. The problem is that wearable health technology often struggles to balance its performance and its energy efficiency: these devices are usually battery-operated, so they need to run for so long without frequent recharging. This system integrates a sensor module to collect heart sound signals; data processing is controlled by the controller module, an Arduino Mega 2560 R3. Interaction between the user and the interface occurs on the TFT LCD screen, and storage of the information obtained is done using the SD card. The ESP8266 Wi-Fi module provides remote monitoring with wireless connectivity. Energy harvesting technologies and thermoelectric systems are the next type of space where the author spends his work, enhancing device autonomy through harvested ambient energy sources. The results show that this is entirely feasible in the realm of wearable health monitoring systems and low-power, which can continuously monitor body sounds-a promising solution for health care management. This research, therefore, contributes toward the development of healthier, long-lasting, and efficient health monitoring devices with emerging potential in handling real-time chronic condition management and early disease detection.

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Published

2024-12-27