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


Database Open Access

Evoked Auditory Responses in Normals

This database, created and contributed by Michael J. Epstein and Ikaro Silva, was generated as part of a study examining evoked potentials and loudness growth. The database consists of two sets of physiological signals: auditory brainstem response (…

loudness neuroelectric auditory

Published: Feb. 3, 2011. Version: 1.0.0

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Database Open Access

VOice ICar fEDerico II Database

This database includes 208 voice samples, from 150 pathological, and 58 healthy voices.

sound auditory voice

Published: June 7, 2018. Version: 1.0.0

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Database Open Access

Evoked Auditory Responses in Heading Impaired

The Evoked Auditory Responses in Hearing Impaired database contains evoked Auditory Brainstem Response (ABR) and Otoacoustic Emission (OAE) recordings in eight hearing impaired listeners, in response to tone-burst stimuli across a wide range of leve…

sound neuroelectric auditory deafness

Published: Sept. 26, 2017. 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