Power Efficient Physiological Response Prediction for Wearable Health Monitoring Platforms.

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dc.contributor.advisorEdgar Lobaton, Co-Chair
dc.contributor.advisorChang Nam, Co-Chair
dc.contributor.advisorAlper Bozkurt, Member
dc.contributor.advisorGregory Buckner, Member
dc.contributor.authorMohammadzadeh, Farrokh Fabian
dc.date.accepted2018-04-11
dc.date.accessioned2018-04-23T12:42:15Z
dc.date.available2018-04-23T12:42:15Z
dc.date.defense2018-03-26
dc.date.issued2018-03-26
dc.date.released2018-04-23
dc.date.reviewed2018-04-03
dc.date.submitted2018-04-02
dc.degree.disciplineElectrical Engineering
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.identifier.otherdeg8798
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/35179
dc.rights
dc.titlePower Efficient Physiological Response Prediction for Wearable Health Monitoring Platforms.

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