Skip to content

This is a copy of the most accurate submission to Physionet 2016. The goal of the challenge was to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single preco…

Notifications You must be signed in to change notification settings

JPLeRouzic/Physionet_2016

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Physionet_2016

This is a copy of the most accurate submission to Physionet 2016. The goal of the challenge was to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single precordial location, whether the subject of the recording should be referred on for an expert diagnosis. The URL of this challenge is: https://physionet.org/challenge/2016/sources/

About

This is a copy of the most accurate submission to Physionet 2016. The goal of the challenge was to encourage the development of algorithms to classify heart sound recordings collected from a variety of clinical or nonclinical (such as in-home visits) environments. The aim is to identify, from a single short recording (10-60s) from a single preco…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published