Why the study?
Current electronic stethoscopes on the market are expensive, imprecise, and can amplify ambient noise.
The development of an affordable, feature-rich electronic stethoscope with machine learning capabilities could improve access to accurate auscultation and arrhythmia detection.
May enhance arrhythmia detection in low-resource settings; leaves open need for prospective clinical validation.
UNSTRUCTURED We created a more affordable and accurate electronic stethoscope because current electronic stethoscope products on the market are expensive, imprecise, and can amplify ambient noise. Our inexpensive electronic stethoscope is capable of filtering out noise and providing different channels to detect abnormal heart/lung sounds which makes auscultation easier and improves medical diagnosis. We also included other features like an OLED livedisplay for on-board, real-time, visualization of the sound signals, SD card storage to store heart/lung sound data for user convenience of medical analysis, a Bluetooth module that allows this product to be used at a distance, and offline data stream analysis through a post-recording program based on machine learning. Overall, our product is inexpensive and user-friendly that benefits not only medical professionals but also anyone with access to the device, regardless of medical availability or experience.
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Satheesh et al. (2022) studied this question.
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