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Motion analysis of suturing technique with Leap Motion Controller
Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Motion capture device reveals a quick learning curve in vascular anastomosis training.Surgery today · 2024Article
- An objective skill assessment framework for microsurgical anastomosis based on ALI scores.Acta neurochirurgica · 2024Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeLeap Motion Controller is a device that can capture hand gestures and reproduce these as data comprising several parametric elements. We analyzed surgical suture motion using this device and investigated the optical methodology for clinical applications.
methodsWe recruited medical students and residents (novice group) and vascular surgeons (specialist group). The operators applied sutures once on a prosthetic graft, and the captured motion was analyzed.
resultsTen novices, who each received procedural instruction for at least 2 h, and 10 specialists were recruited. The hand gesture consisted of four elements (roll, pitch, yaw, and wrist angle). Since "roll" was the only element in this simple suture movement that showed some difference between the two groups, we analyzed three parameters: (1) the suturing time, (2) the difference in the degree between two piercing points, and (3) slope of the roll. We found that the specialist group demonstrated significantly shorter suturing times and a larger degree of the slope.
conclusionLeap Motion Controller analysis with the roll revealed that the novices could use the roll motion after only 2 h of instruction; however, the suturing speed and smoothness were secondary to those of the specialists.
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