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  4. New Highly Portable Simulator (SECMA) Based on Virtual Reality for Teaching Essential Skills in Minimally Invasive Surgeries
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New Highly Portable Simulator (SECMA) Based on Virtual Reality for Teaching Essential Skills in Minimally Invasive Surgeries

Journal
International Journal of Online and Biomedical Engineering (iJOE)
ISSN
2626-8493
Date Issued
2023
Author(s)
GUZMAN MONTOTO, JOSE IGNACIO  
Facultad de Ingeniería  
HERRERA MARÍN, MAURICIO RENÉ  
Facultad de Ingeniería  
RODRÍGUEZ BELTRÁN, CAMILO IGNACIO  
Facultad de Ingeniería  
Type
Resource Types::text::journal::journal article
Scopus ID
2-s2.0-85172247809
WoS ID
WOS:001139857200004
DOI
10.3991/ijoe.v19i13.40897
URL
https://investigadores.udd.cl/handle/123456789/8331
URL Institutional Repository
https://hdl.handle.net/11447/8623
Abstract
<jats:p>This study presents a new minimal access surgery training system, SECMA, and its constructive validation to determine its usefulness for training basic laparoscopic skills. SECMA is an affordable, highly portable, mobile virtual reality training tool for laparoscopic techniques that integrates the Oculus Quest with a mechanical interface for surgeon simulation of forceps using the hand controllers of these devices. It allows the execution of structured activities (supported by virtual scenarios simulating operating rooms developed in Unity), performance evaluation, and real-time data capture. Two experiments were carried out: 1) coordination; and 2) capture and transport, with a total of 21 individuals divided into two groups: a novice group (inexperienced) of 10 participants and an expert group (>100 endoscopic procedures) of 11 participants. Total task time score, right-hand speed, path length, and other metrics from several consecutive runs on the simulator were compared between experts and novices. Data automatically recorded by SECMA during the experiments were analyzed using hypothesis tests, linear regressions, analysis of variance, principal component analysis, and machine learning-supervised classifiers. In the experiments, the experts scored significantly better than the novices in all the parameters used. The tasks evaluated discriminated between the skills of experienced and novice surgeons, giving the first indication of construct validity for SECMA. </jats:p>
Subjects
basic motor skills learning in surgery

; 

constructive validation

; 

data analysis

; 

laparoscopy

; 

portable virtual reality (vr) simulator

; 

statistical analysis

; 

supervised machine learning (ml) classification

; 

technical training

; 

virtual reality (vr) simulator for minimal access surgery training system
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