Assessing Arthroscopic Skills Using Wireless Elbow-Worn Motion Sensors | Zendy

Georgina Kirby | Zendy; P.M. Guyver | Zendy; Louise Strickland | Zendy; Abtin Alvand | Zendy; GuangZhong Yang | Zendy; Caroline Hargrove | Zendy; Benny Lo | Zendy; Jonathan Rees | Zendy

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Assessing Arthroscopic Skills Using Wireless Elbow-Worn Motion Sensors

Author(s) -

Georgina Kirby,

P.M. Guyver,

Louise Strickland,

Abtin Alvand,

GuangZhong Yang,

Caroline Hargrove,

Benny Lo,

Jonathan Rees

Publication year - 2015

Publication title -

journal of bone and joint surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.634

H-Index - 260

eISSN - 1058-2436

pISSN - 0021-9355

DOI - 10.2106/jbjs.n.01043

Subject(s) - elbow , virtual reality , wrist , rating scale , motion (physics) , computer science , bluetooth , wireless , physical medicine and rehabilitation , scale (ratio) , simulation , physical therapy , artificial intelligence , medicine , mathematics , surgery , statistics , telecommunications , physics , quantum mechanics

Assessment of surgical skill is a critical component of surgical training. Approaches to assessment remain predominantly subjective, although more objective measures such as Global Rating Scales are in use. This study aimed to validate the use of elbow-worn, wireless, miniaturized motion sensors to assess the technical skill of trainees performing arthroscopic procedures in a simulated environment.

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