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A Novel Multi-Faceted Strategy to Identify the in vivo Dynamics of Spinal Locomotor Networks
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | A Novel Multi-Faceted Strategy to Identify the in vivo Dynamics of Spinal Locomotor Networks. |
| 개인저자 | Pham, Bau Ngoc. |
| 단체저자명 | University of California, Los Angeles. Biomedical Engineering 0289. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2019. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
| 형태사항 | 135 p. |
| 기본자료 저록 | Dissertations Abstracts International 81-05B. Dissertation Abstract International |
| ISBN | 9781392379783 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2019. |
| 일반주기 |
Source: Dissertations Abstracts International, Volume: 81-05, Section: B.
Advisor: Edgerton, Victor R. |
| 이용제한사항 | This item must not be sold to any third party vendors.This item must not be added to any third party search indexes. |
| 요약 | Improving our understanding of the anatomy of spinal locomotor networks, how they physiologically interact with proprioception to execute locomotion in vivo, and how ES combined with physical training mechanistically reorganizes spinal networks will provide crucial information in how to use ES optimally to improve clinical outcomes along with inspiring future design of epidural electrodes and training programs. This thesis aims to adapt an engineering and big data workflow to answer these pressing biological problems, namely finding a way to generate large sets of data from current immunohistochemistry (IHC) techniques known to generate very little and to find a way to analyze this large amount of data in a time efficient manner when the current gold standard has been manual analysis. |
| 일반주제명 | Neurosciences. Biomedical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
