Motion Smoothness Metrics for Cannulation Skill Assessment: What Factors Matter?
cannulation
log dimensionless jerk
medical training simulator
motion smoothness
skill metrics
spectral arc length
Journal
Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350
Informations de publication
Date de publication:
2021
2021
Historique:
received:
02
11
2020
accepted:
09
02
2021
entrez:
3
5
2021
pubmed:
4
5
2021
medline:
4
5
2021
Statut:
epublish
Résumé
Medical training simulators have the potential to provide remote and automated assessment of skill vital for medical training. Consequently, there is a need to develop "smart" training devices with robust metrics that can quantify clinical skills for effective training and self-assessment. Recently, metrics that quantify motion smoothness such as log dimensionless jerk (
Identifiants
pubmed: 33937348
doi: 10.3389/frobt.2021.625003
pii: 625003
pmc: PMC8085519
doi:
Types de publication
Journal Article
Langues
eng
Pagination
625003Informations de copyright
Copyright © 2021 Singh, Bible, Liu, Zhang and Singapogu.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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