Resources

Challenge Open Access

Classification of Heart Sound Recordings - The PhysioNet Computing in Cardiology Challenge 2016

The 2016 PhysioNet/CinC Challenge aims 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 sho…

challenge sound phonocardiogram heart

Published: March 4, 2016. Version: 1.0.0

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Software Open Access

Logistic Regression-HSMM-based Heart Sound Segmentation

David Springer

Heart sound segmentation code, based on a duration-dependent hidden Markov model, extended with the use of logistic regression for emission probability estimation and an enhanced Viterbi algorithm.

Published: July 29, 2019. Version: 1.0

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