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…

phonocardiogram heart sound challenge

Published: March 4, 2016. Version: 1.0.0


Database Open Access

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2012)

Victor Gonzalez, Agata Zelechowska, Alexander Refsum Jensenius

How and why does music make us move? This dataset was collected as part of a project to investigate how music influences small magnitude motion observed when people try to stand still.

movement sound music

Published: Oct. 5, 2020. Version: 1.0


Database Open Access

Evoked Auditory Responses in Normals

Auditory Brainstem Response and Otoacoustic Emission recordings generated as part of a study examining evoked potentials and loudness growth.

loudness neuroelectric auditory

Published: Feb. 3, 2011. Version: 1.0.0

Visualize waveforms

Database Open Access

MICRO Motion capture data from groups of participants standing still to auditory stimuli (2015)

Victor Gonzalez, Agata Zelechowska, Alexander Refsum Jensenius

How and why does music make us move? This project investigates how music influences small magnitude motion observed when people try to stand still.

movement sound music cognition

Published: Dec. 8, 2020. Version: 1.0


Database Open Access

VOICED Database

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

auditory voice sound

Published: June 7, 2018. Version: 1.0.0

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Database Open Access

Evoked Auditory Responses in Heading Impaired

Auditory Brainstem Response and Otoacoustic Emission recordings in eight hearing impaired listeners.

neuroelectric auditory deafness sound

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