Smart Stethoscope for Remote Healthcare Monitoring Using IoT: A Cost-Effective Solution

Worldwide, the major cause of death is Cardiac Dysfunction, which can be detected through heart sounds. Acoustic stethoscopes are one of the oldest methods of auscultation. An ordinary acoustics-based stethoscope is limited in providing high-quality sound in noisy environments. This paper addresses the problem of cost-effectively making a smart stethoscope using modern electronics and computing technologies for cardiac auscultation. Along with that, to have telemedicine involved with the utmost accuracy possible. A signal conditioning circuit is designed to process the auscultation signals measured by a condenser microphone using a Preamplifier, a High pass filter, a Low Pass Filter, and an Op-Amp Subtractor. An ESP32 development board is used to convert the signal to digital format and transmit the signal through Bluetooth to an Android application to visualize signals. The smart stethoscope is designed to record and transmit real-time heart sounds to healthcare professionals while considering cost-effectiveness and portability. In the future, we can use the recorded signals to predict cardiac disorders using Deep learning models.