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Time Frequency Analysis for Localiza...

Bhamra, Suraj Singh.

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Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements./
作者:	Bhamra, Suraj Singh.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	348 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:	Dissertations Abstracts International80-12B.
標題:	Bioengineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13810284
ISBN:	9781392244661

Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements.
Bhamra, Suraj Singh.

Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 348 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--Oakland University, 2019.

This item is not available from ProQuest Dissertations & Theses.

The objective of this research is to implement a set of signal processing techniques, namely the Short Time Fourier Transform, spectrogram, and power spectral density in conjunction with computational neuroscience techniques such as ERPs and ICA decomposition of EEG signals to investigate the origin and distribution of neurological signals associated with the imaginary motor movement of the human hands.This research contributes the following: 1) Application of the principles governing power spectral density, ERP analysis, ICA decomposition, and the Short Time Fourier Transform spectrogram through the use of computer modeling and simulation to provide a technique to identify the cortical pathways associated with left and right handed imaginary motor movement of the human hands. 2) Investigation into the effects of left and right-handed dominance and decussation of nerve pathways on the localization of imaginary motor movement of the human hands in addition to investigation into the components comprising the stream of EEG data used to conduct the analyses. 3) Application of the aforementioned signal processing and computational neuroscience methods in this abstract to provide insight into a frequency band of brain waves associated with imaginary motor movement of the human hands. 4) An exploratory look into future research opportunities surrounding electrode technology using a modeling and simulation-based mechanical analysis of an implantable intracortical electrode to investigate potential structural geometries, materials, and mechanical attributes of a cortical sensor that may be used in the future to aggregate neurological information in future studies.

ISBN: 9781392244661Subjects--Topical Terms:

657580
Bioengineering.
Subjects--Index Terms:

Biomedical engineering

Time Frequency Analysis for Localization of Human Brain Waves for Imagined Motor Movements.
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506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a The objective of this research is to implement a set of signal processing techniques, namely the Short Time Fourier Transform, spectrogram, and power spectral density in conjunction with computational neuroscience techniques such as ERPs and ICA decomposition of EEG signals to investigate the origin and distribution of neurological signals associated with the imaginary motor movement of the human hands.This research contributes the following: 1) Application of the principles governing power spectral density, ERP analysis, ICA decomposition, and the Short Time Fourier Transform spectrogram through the use of computer modeling and simulation to provide a technique to identify the cortical pathways associated with left and right handed imaginary motor movement of the human hands. 2) Investigation into the effects of left and right-handed dominance and decussation of nerve pathways on the localization of imaginary motor movement of the human hands in addition to investigation into the components comprising the stream of EEG data used to conduct the analyses. 3) Application of the aforementioned signal processing and computational neuroscience methods in this abstract to provide insight into a frequency band of brain waves associated with imaginary motor movement of the human hands. 4) An exploratory look into future research opportunities surrounding electrode technology using a modeling and simulation-based mechanical analysis of an implantable intracortical electrode to investigate potential structural geometries, materials, and mechanical attributes of a cortical sensor that may be used in the future to aggregate neurological information in future studies.
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