Automated detection of abnormal spikes in the electroencephalogram

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dc.contributor.advisorKtonas, Preiklis Y.
dc.contributor.committeeMemberEverett, Robert L.
dc.contributor.committeeMemberSheer, Daniel E.
dc.creatorSawhney, Subhash
dc.date.accessioned2022-10-06T16:18:47Z
dc.date.available2022-10-06T16:18:47Z
dc.date.issued1976
dc.description.abstractThis thesis describes the design, development, and performance of an electronic system for the detection of sharp, epilepsy-related aperiodic waves (abnormal spikes) in one channel of scalp EEG data. First, a discussion of parameters used to quantify such waveforms is presented. Then, a detection technique is developed. Finally, the performance of the detection system is evaluated at real time. A description of an interface of the detection system to a digital minicomputer for high speed detection is also presented.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.format.digitalOriginreformatted digital
dc.format.mimetypeapplication/pdf
dc.identifier.other3684628
dc.identifier.urihttps://hdl.handle.net/10657/12144
dc.language.isoen
dc.rightsThis item is protected by copyright but is made available here under a claim of fair use (17 U.S.C. Section 107) for non-profit research and educational purposes. Users of this work assume the responsibility for determining copyright status prior to reusing, publishing, or reproducing this item for purposes other than what is allowed by fair use or other copyright exemptions. Any reuse of this item in excess of fair use or other copyright exemptions requires express permission of the copyright holder.
dc.titleAutomated detection of abnormal spikes in the electroencephalogram
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentElectrical Engineering, Department of
thesis.degree.disciplineElectrical Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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