Welcome to the Heart-sound-classification project! This application helps you detect and classify heart sounds into normal, murmur, and artifact categories. You can use it to support early detection of cardiac abnormalities.
This project builds a deep-learning-based heartbeat sound classification system. We use MFCC features and various models, including CNN, BiLSTM, and Hybrid CNN–BiLSTM architecture. Our system helps both researchers and health professionals evaluate heart sounds effectively.
- audioclassification
- cnn-model
- deep-learning
- fourier-transform
- healthcare-ai
- heartsound
- hybridmodel
- librosa
- lstm
- medicalai
- mfcc
- phonocardiogram
- python
- sound-processing
- tensorflow
To get started with the Heart-sound-classification application, visit this page to download: Releases Page.
Before downloading, please ensure your system meets the following requirements:
- Operating System: Windows, macOS, or Linux
- Python Version: 3.6 or higher
- Memory: At least 4 GB RAM
- Storage: 200 MB of free space
- Visit the Releases Page.
- Look for the latest release.
- Click on the appropriate file for your operating system.
- Download the file to your computer.
- Once downloaded, locate the file in your downloads folder.
- Double-click the file to run the application.
- Heart Sound Classification: Quickly classify heart sounds into normal, murmur, or artifact.
- User-Friendly Interface: Easily navigate through the application.
- Deep Learning Models: Leverage advanced algorithms to ensure accurate predictions.
- Visualization Tools: View sound waveforms and classification results directly in the application.
- Open the Heart-sound-classification application.
- Select the audio file of the heart sound you want to evaluate. This file should be in WAV format.
- Click on the “Classify” button.
- Wait for the results to appear on the screen.
- Review the classification and any additional information provided.
If you encounter issues while running the application, consider the following:
- Audio File Issues: Ensure the audio file is in the correct WAV format.
- Performance Problems: Check your system requirements. Closing other applications may help improve performance.
- Installation Issues: Make sure you followed all steps correctly and that your environment matches the system requirements.
If you have questions or need assistance, please reach out via the GitHub Issues page on this repository. Community contributors are often available to help resolve any inquiries.
For more information about deep learning models in healthcare, consider reviewing online resources and courses in AI and machine learning.
With the Heart-sound-classification application, you can easily classify heart sounds, contributing to the understanding and early diagnosis of potential cardiac issues. Enjoy exploring this tool!