자료유형 | 학위논문 |
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서명/저자사항 | Power Efficient Physiological Response Prediction forWearable HealthMonitoring Platforms. |
개인저자 | Mohammadzadeh, Farrokh Fabian. |
단체저자명 | North Carolina State University. Electrical Engineering. |
발행사항 | [S.l.]: North Carolina State University., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 85 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438283695 |
학위논문주기 | Thesis (Ph.D.)--North Carolina State University, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Edgar Lobaton |
요약 | The main objective of this dissertation is the development of a power-efficient framework for prediction of physiological responses such as breathing rate in a wearable health monitoring platformwhen the user is performing various activities. In |
일반주제명 | Electrical engineering. |
언어 | 영어 |
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: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |