Can Surgical Performance for Varying Experience be Measured from Hand Motions?
| Autor: | Jacob A. Greenberg, Carl A.M. Pugh, Yu Hen Hu, Brian Le, David P. Azari, Caprice C. Greenberg, Robert G. Radwin, Brady L. Miller |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 05 social sciences Digital video 050105 experimental psychology Hand movements Medical Terminology Simple (abstract algebra) 0501 psychology and cognitive sciences Computer vision Artificial intelligence business 050107 human factors Medical Assisting and Transcription |
| Zdroj: | Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 62:583-587 |
| ISSN: | 1071-1813 2169-5067 |
| DOI: | 10.1177/1541931218621133 |
| Popis: | This study evaluates if hand movements, tracked using digital video, can quantify in-context surgical performance. Participants of varied experience completed simple interrupted suturing and running subcuticular suturing tasks. Marker-less motion tracking software traced the two-dimensional position of a region of the hand for every video frame. Four expert observers rated 219 short video clips of participants performing the task from 0 to 10 along the following visual analog scales: fluidity of motion, motion economy, tissue handling, and coordination. Expert ratings of attending surgeon hand motions (mean=7.5, sd=1.3) were significantly greater ( p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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