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The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)

A novel musical instrument and biofeedback device was created using electroencephalogram (EEG) posterior dominant rhythm (PDR) or mu rhythm to control a synthesized piano, which we call the Encephalophone. Alpha-frequency (8–12 Hz) signal power from PDR in the visual cortex or from mu rhythm in the...

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Autores principales: Deuel, Thomas A., Pampin, Juan, Sundstrom, Jacob, Darvas, Felix
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405117/
https://www.ncbi.nlm.nih.gov/pubmed/28491030
http://dx.doi.org/10.3389/fnhum.2017.00213
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author Deuel, Thomas A.
Pampin, Juan
Sundstrom, Jacob
Darvas, Felix
author_facet Deuel, Thomas A.
Pampin, Juan
Sundstrom, Jacob
Darvas, Felix
author_sort Deuel, Thomas A.
collection PubMed
description A novel musical instrument and biofeedback device was created using electroencephalogram (EEG) posterior dominant rhythm (PDR) or mu rhythm to control a synthesized piano, which we call the Encephalophone. Alpha-frequency (8–12 Hz) signal power from PDR in the visual cortex or from mu rhythm in the motor cortex was used to create a power scale which was then converted into a musical scale, which could be manipulated by the individual in real time. Subjects could then generate different notes of the scale by activation (event-related synchronization) or de-activation (event-related desynchronization) of the PDR or mu rhythms in visual or motor cortex, respectively. Fifteen novice normal subjects were tested in their ability to hit target notes presented within a 5-min trial period. All 15 subjects were able to perform more accurately (average of 27.4 hits, 67.1% accuracy for visual cortex/PDR signaling; average of 20.6 hits, 57.1% accuracy for mu signaling) than a random note generation (19.03% accuracy). Moreover, PDR control was significantly more accurate than mu control. This shows that novice healthy individuals can control music with better accuracy than random, with no prior training on the device, and that PDR control is more accurate than mu control for these novices. Individuals with more years of musical training showed a moderate positive correlation with more PDR accuracy, but not mu accuracy. The Encephalophone may have potential applications both as a novel musical instrument without requiring movement, as well as a potential therapeutic biofeedback device for patients suffering from motor deficits (e.g., amyotrophic lateral sclerosis (ALS), brainstem stroke, traumatic amputation).
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spelling pubmed-54051172017-05-10 The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG) Deuel, Thomas A. Pampin, Juan Sundstrom, Jacob Darvas, Felix Front Hum Neurosci Neuroscience A novel musical instrument and biofeedback device was created using electroencephalogram (EEG) posterior dominant rhythm (PDR) or mu rhythm to control a synthesized piano, which we call the Encephalophone. Alpha-frequency (8–12 Hz) signal power from PDR in the visual cortex or from mu rhythm in the motor cortex was used to create a power scale which was then converted into a musical scale, which could be manipulated by the individual in real time. Subjects could then generate different notes of the scale by activation (event-related synchronization) or de-activation (event-related desynchronization) of the PDR or mu rhythms in visual or motor cortex, respectively. Fifteen novice normal subjects were tested in their ability to hit target notes presented within a 5-min trial period. All 15 subjects were able to perform more accurately (average of 27.4 hits, 67.1% accuracy for visual cortex/PDR signaling; average of 20.6 hits, 57.1% accuracy for mu signaling) than a random note generation (19.03% accuracy). Moreover, PDR control was significantly more accurate than mu control. This shows that novice healthy individuals can control music with better accuracy than random, with no prior training on the device, and that PDR control is more accurate than mu control for these novices. Individuals with more years of musical training showed a moderate positive correlation with more PDR accuracy, but not mu accuracy. The Encephalophone may have potential applications both as a novel musical instrument without requiring movement, as well as a potential therapeutic biofeedback device for patients suffering from motor deficits (e.g., amyotrophic lateral sclerosis (ALS), brainstem stroke, traumatic amputation). Frontiers Media S.A. 2017-04-26 /pmc/articles/PMC5405117/ /pubmed/28491030 http://dx.doi.org/10.3389/fnhum.2017.00213 Text en Copyright © 2017 Deuel, Pampin, Sundstrom and Darvas. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Deuel, Thomas A.
Pampin, Juan
Sundstrom, Jacob
Darvas, Felix
The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title_full The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title_fullStr The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title_full_unstemmed The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title_short The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
title_sort encephalophone: a novel musical biofeedback device using conscious control of electroencephalogram (eeg)
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405117/
https://www.ncbi.nlm.nih.gov/pubmed/28491030
http://dx.doi.org/10.3389/fnhum.2017.00213
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