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Diersing, Christina_MS Thesis_Final rev__final format approved LW 12-13-2021.pdf (8.36 MB)
ETD Abstract Container
Abstract Header
The Effect of Binaural Tones on EEG Waveforms and Human Computational Performance
Author Info
Diersing, Christina L
ORCID® Identifier
http://orcid.org/0000-0003-1580-5146
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1639483632430143
Abstract Details
Year and Degree
2021, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
Humans have used tones in religion, community gatherings, meditation, and other spiritual practices for millennia. In Buddhism, tones such as the Ohm are seen as deeply religious. In Islam, the call to prayer is recited five times per day, often in repetitive and similar tones, to call the Muslim community for prayer. In Catholicism, many songs utilize the same chords to praise God. In the US, the national anthem and pledge of allegiance are connected with national pride. In many tribal religions, repetitive drumbeats are used to inspire trances and hold rituals. More recently, binaural tones have increased in popularity. Many people have started using binaural tones to relax, sleep, or concentrate. However, few research studies have examined the effect of binaural tones on electroencephalogram (EEG) waveforms. In this thesis, the effect of several binaural tones on EEG waveforms is analyzed through a human subjects research study in which participants performed computational tasks of varying cognitive load. Neural activity as a function of peak amplitude was recorded using an Emotiv EPOC electrode array. The results indicate that while vast differences exist amongst individuals, there does appear to be an increase in neural activity after repeated short exposure to binaural tones at 15 Hz, when averaged across all test subjects. In addition, subjects on average demonstrated improvement in both speed (13.73%) and accuracy (40%) for mathematical calculations of varying complexity while listening to binaural tones when compared to calculations of similar complexity that were performed with no auditory stimulus.
Committee
Amy Neidhard-Doll (Advisor)
Vamsy Chodavarapu (Committee Member)
Vijayan Asari (Committee Member)
Pages
125 p.
Subject Headings
Bioinformatics
;
Biomedical Engineering
;
Biomedical Research
;
Electrical Engineering
Keywords
EEG
;
Emotiv
;
Binaural Tones
;
Human Cognitive Performance
;
Brain Computer Interface
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Refworks
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Citations
Diersing, C. L. (2021).
The Effect of Binaural Tones on EEG Waveforms and Human Computational Performance
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1639483632430143
APA Style (7th edition)
Diersing, Christina.
The Effect of Binaural Tones on EEG Waveforms and Human Computational Performance.
2021. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1639483632430143.
MLA Style (8th edition)
Diersing, Christina. "The Effect of Binaural Tones on EEG Waveforms and Human Computational Performance." Master's thesis, University of Dayton, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1639483632430143
Chicago Manual of Style (17th edition)
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Document number:
dayton1639483632430143
Download Count:
204
Copyright Info
© 2021, some rights reserved.
The Effect of Binaural Tones on EEG Waveforms and Human Computational Performance by Christina L Diersing is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Dayton and OhioLINK.