View Heart Sound Segmentation (public)
- Summary
Locating each and every heart sound in the sound clips.
- License
- CC-BY-SA 3.0
- Tags
- Input format
audio file of heart sound in wav version
- Output format
a specific category out of Normal, Murmur, Extra Sound(A), Extrasystole(B) or Artifact.
- Performance Measure
- Accuracy
- Type
- Multi Class Classification
- Data
- Record of Heart Sound
- Data (held back)
- Record of Heart Sound
- Download
- HDF5 (10.6 KB) XML Matlab Octave
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- Input Variables
- Output Variables
- Datasplits
| Nr | Splitimage |
|---|
| Nr | Train Indices | Validation Indices | Test Indices |
|---|
We use python style indices
- Description
To produce a method that can locate S1(lub) and S2(dub) sounds within audio data, segmenting the Normal audio files in both datasets. To enable your machine learning method to learn we provide the exact location of S1 and S2 sounds for some of the audio files. You need to use them to identify and locate the S1 and S2 sounds of all the heartbeats in the unlabelled group. The locations of sounds are measured in audio samples for better precision. Your method must use the same unit.
For the downloading of the evaluation script please go to http://www.peterjbentley.com/heartchallenge/
- URLs
- http://www.peterjbentley.com/heartchallenge/
- Publications
- revision 1
- by Yiqi on 2012-02-03 15:38
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Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.