Listen2YourHeart is a publically available, extendable framework for training Neural Networks via Contrastive SSL learning, for Phonocardiogram classification.
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- Python
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phonocardiogram
Here are 9 public repositories matching this topic...
Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"
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- Jupyter Notebook
Heart Sound Classification (PCG) — TensorFlow + FastAPI; live demo on HF Spaces
docker machine-learning deep-learning tensorflow audio-classification heart-sounds fastapi healthcare-ai huggingface-spaces phonocardiogram
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- Python
Final year capstone project for heart disease detection using a multi-modal approach. We trained separate ML models on ECG, PCG, and PPG signals and fused their confidence scores using a mathematical method to provide a more accurate and holistic risk assessment. Project Members: Anandakrishnan A and Aryan Matte
machine-learning deep-learning random-forest jupyter-notebook cnn ecg pcg multi-model final-year-project photoplethysmography hybrid-model ppg heart-disease electrocardiogram bilstm heart-disease-detection heart-disease-prediction heart-disease-classification phonocardiogram
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- Jupyter Notebook
The main objective of this project is to design and implement an automatic classification method, CNN, to classify cardiovascular diseases (CVDs). Diseases covered include Mitral Stenosis (MS), Aortic Stenosis (AS), Mitral Regurgitation (MR), Mitral Valve Prolapse (MVP), along with normal heart sound.
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- Python
Heart Sound Segmenter implemented using a Convolutional Neural Network (CNN) on heterogeneus platforms (RISC-V included, through AIRISC architecture)
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- C
A Streamlit app for CWT & FFT signal analysis with PCG feature detection, built entirely from scratch.
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- Python
This project builds a deep-learning-based heartbeat sound classification system using MFCC features and multiple models including CNN, BiLSTM, and a Hybrid CNN–BiLSTM architecture. The system detects and classifies heart sounds into normal, murmur, and artifact categories, supporting early cardiac abnormality detection.
python deep-learning tensorflow sound-processing lstm mfcc librosa cnn-model fourier-transform medicalai heartsound audioclassification healthcare-ai hybridmodel phonocardiogram
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- Jupyter Notebook
FPGA design for extracting PSD, Hilbert, Wavelet, and Homomorphic envelograms from phonocardiogram (PCG) recordings.
fpga artificial-intelligence features-extraction cardiovascular-diseases phonocardiogram envelograms
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- VHDL
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