Design and Implementation of Wi-Fi Enabled Contactless Electronic Stethoscope

The very initial diagnosis tool which most of the healthcare experts use is a stethoscope. This is an inevitable element in monitoring the bio-acoustic signals of patients by doctors. During the SARS CoV-2 pandemic situation, the conventional stethoscope generates a huge threatening to the physician...

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Bibliographic Details
Published in2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) pp. 932 - 936
Main Authors Joshitha, C, Kanakaraja, P, Rooban, S, Prasad, Bandaru Satya Durga Ram, Rao, Bondi Gupteshwar, Teja, Sasapu Venkata Sai
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.04.2022
Subjects
Auscultation
Data visualization
Diagnosis
Medical services
Pandemics
Raspberry Pi
Real-time systems
Receivers
Stethoscope
Transmitters
Wireless network
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Summary:The very initial diagnosis tool which most of the healthcare experts use is a stethoscope. This is an inevitable element in monitoring the bio-acoustic signals of patients by doctors. During the SARS CoV-2 pandemic situation, the conventional stethoscope generates a huge threatening to the physician's life as it creates a direct close contact with patients. A contactless tool is necessary in the present scenario and a similar one is proposed in this paper. The design and hardware implementation of a Wi-Fi enabled stethoscope which is having both transmitter module (patient side) and receiver module (physician side) presented. MAX9814 microphone captures and processes the acoustic sounds including cardiac auscultation, sends the data in MQTT packets through ESP32 kit. The system is designed in such a way that multiple users in receiver end can visualize the live auscultation plots, body temperature plot and listen to the bio-acoustic sounds. A mobile app is associated with system to monitor the patient's health information. Raspberry Pi unit in the receiver module, controls the operations in receiver module. The results obtained using the proposed system compared with real-time data and verified the performance.
DOI:10.1109/ICSCDS53736.2022.9760872