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

Overview of attention for article published in Frontiers in Human Neuroscience, April 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
22 news outlets
blogs
6 blogs
twitter
66 X users
facebook
11 Facebook pages
googleplus
2 Google+ users
reddit
1 Redditor

Citations

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25 Dimensions

Readers on

mendeley
117 Mendeley
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Title
The Encephalophone: A Novel Musical Biofeedback Device using Conscious Control of Electroencephalogram (EEG)
Published in
Frontiers in Human Neuroscience, April 2017
DOI 10.3389/fnhum.2017.00213
Pubmed ID
Authors

Thomas A. Deuel, Juan Pampin, Jacob Sundstrom, Felix Darvas

Abstract

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).

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 117 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 21%
Student > Master 21 18%
Student > Bachelor 13 11%
Researcher 11 9%
Student > Doctoral Student 6 5%
Other 17 15%
Unknown 24 21%
Readers by discipline Count As %
Neuroscience 21 18%
Engineering 13 11%
Psychology 13 11%
Medicine and Dentistry 12 10%
Computer Science 11 9%
Other 19 16%
Unknown 28 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 254. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 July 2020.
All research outputs
#154,891
of 26,558,784 outputs
Outputs from Frontiers in Human Neuroscience
#74
of 7,859 outputs
Outputs of similar age
#3,216
of 328,593 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#6
of 194 outputs
Altmetric has tracked 26,558,784 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.