Literature DB >> 15511709

Easy listening to sleep recordings: tools and examples.

Jesus Olivan1, Bob Kemp, Marco Roessen.   

Abstract

BACKGROUND AND
PURPOSE: To specify a simple conversion of neurophysiological signals contained in sleep recordings into standard audio files and to illustrate how our cerebral audio processor can then detect specific signal characteristics.
METHODS: A software package (freely accessible from the Internet) has been developed that converts signals from standard EDF (or EDF+) format to standard audio (WAV) format, a process usually called audification. The software has been applied to sleep EEG, EOG and ECG. The software is easy to apply.
RESULTS: A wide range of audified signals is described, stressing the analogy with familiar sounds. Audio properties of EEG in different sleep stages, EOG, ECG and respiration signals are discussed. Auditive presentation of the signals invokes brain processes that differ essentially from the commonly applied visual interpretation, including physiological frequency analysis.
CONCLUSIONS: Such auditive interpretation may complement the visual one. The widespread use of EDF+ and multimedia computers makes such audification simple and straightforward.

Entities:  

Mesh:

Year:  2004        PMID: 15511709     DOI: 10.1016/j.sleep.2004.07.010

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  3 in total

1.  Rapid Bedside Evaluation of Seizures in the ICU by Listening to the Sound of Brainwaves: A Prospective Observational Clinical Trial of Ceribell's Brain Stethoscope Function.

Authors:  Kyle Hobbs; Prashanth Krishnamohan; Catherine Legault; Steve Goodman; Josef Parvizi; Kapil Gururangan; Michael Mlynash
Journal:  Neurocrit Care       Date:  2018-10       Impact factor: 3.210

2.  Music of brain and music on brain: a novel EEG sonification approach.

Authors:  Shankha Sanyal; Sayan Nag; Archi Banerjee; Ranjan Sengupta; Dipak Ghosh
Journal:  Cogn Neurodyn       Date:  2018-08-28       Impact factor: 5.082

3.  A method for AI assisted human interpretation of neonatal EEG.

Authors:  Sergi Gomez-Quintana; Alison O'Shea; Andreea Factor; Emanuel Popovici; Andriy Temko
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

  3 in total

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