상세정보
Export to Refworks부가기능
Power Efficient Physiological Response Prediction forWearable HealthMonitoring Platforms
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 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 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
