LDR | | 01570nmm uu200397 4500 |
001 | | 000000334150 |
005 | | 20240805175230 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438351080 |
035 | |
▼a (MiAaPQ)AAI10828440 |
035 | |
▼a (MiAaPQ)umn:19329 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 629.8 |
100 | 1 |
▼a French, Anna. |
245 | 10 |
▼a Motion Analysis through Crowd-sourced Assessment and Feature Design with Applications to Surgical Technical Skill Evaluation. |
260 | |
▼a [S.l.] :
▼b University of Minnesota.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 95 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B. |
500 | |
▼a Adviser: Timothy M. Kowalewski. |
502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
520 | |
▼a Surgical technical skill has a direct impact on patient health outcomes. Robotic surgical procedures present an opportunity for motion analysis-based skill assessment due to their readily available data streams detailing all manner of measuremen |
590 | |
▼a School code: 0130. |
650 | 4 |
▼a Robotics. |
650 | 4 |
▼a Surgery. |
690 | |
▼a 0771 |
690 | |
▼a 0576 |
710 | 20 |
▼a University of Minnesota.
▼b Mechanical Engineering. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 80-01B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0130 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999166
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |