Heart and Lung Sounds Dataset Recorded from a Clinical Manikin using Digital Stethoscope (HLS-CMDS)
Digital stethoscope built from scratch: custom PCB amplifies and filters heart sound signals, streams audio over Bluetooth to a companion app for real-time auscultation.
EKOBIT is an electronics stethoscope, a AFE signal board for a digital stethoscope.
The system captures cardiac audio through a dual-microphone stethoscope, applies real-time active noise cancellation on the ESP32-S3, streams the processed signal to a cloud API, and returns a binary classification (Normal / Murmur) within 145 ms — with 91% accuracy against the CirCor DigiScope dataset.
Open-source AI heart murmur detection for primary care: multi-location masked-attention fusion, official PhysioNet-2022 challenge metric (s_murmur 0.70, ~median rank 20/40)
Public, source-free showcase for the Shcare connected digital stethoscope graduation project.
Interactive and interpretable COPD screening from respiratory sounds using AeroCOPDNet, with log-Mel analysis, SmoothGrad saliency, deletion-based faithfulness testing, audio-quality checks, and a Streamlit human-review dashboard.
A web app for processing signal and calculating respiration and heart metrics using a special made digital stethoscope. Pipeline: band-pass 20-200 Hz -> MAD despike -> 10 ms smooth -> z-norm -> envelope -> peak detect -> S1/S2 timing -> metrics.
Android companion app for recording, organizing, and exporting heart-sound sessions.
This Bachelor Thesis presents the design and development of a real-time telemedicine stethoscope system for remote auscultation. The system features real-time audio/video streaming, pose detection for accurate stethoscope placement guidance, and robotic arm integration for automated stethoscope positioning.
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