Objective Evaluation of Laparoscopic Experience Based on Muscle Electromyography and Accelerometry Performing Circular Pattern Cutting Tasks: A Pilot Study

Autor: Nestor Adrian Soto Rodriguez, Carlos Arroyo Kuribreña, Juan Domingo Porras Hernández, Jose Antonio Gutiérrez-Gnecchi, Fernando Pérez-Escamirosa, Martinez-Mendez Rigoberto, Arturo Minor-martinez, Daniel Lorias-Espinoza
Rok vydání: 2023
Předmět:
Zdroj: Surgical Innovation. :155335062311690
ISSN: 1553-3514
1553-3506
DOI: 10.1177/15533506231169063
Popis: Purpose.The aim of this work is to present a new physical laparoscopy simulator with an electromyography (EMG)/accelerometry-based muscle activity recording system, EvalLap EMG-ACC, and perform objective evaluation of laparoscopic skills based on the quantification of muscle activity of participants with different levels of laparoscopic experience. Methods. EMG and ACC signals were obtained from 14 participants (6 experts, 8 medical students) performing circular pattern cutting tasks using a laparoscopic box trainer with the Trigno (Delsys Inc, Natick, MA) portable wireless system of 16 wireless sensors. Sensors were placed on the proximal and distal muscles of the upper extremities. Seven evaluation metrics were proposed and compared between skilled and novice surgeons. Results. The proximal and distal arm muscles (trapezius, deltoids, biceps, and forearms) were most active while executing laparoscopic tasks. Laparoscopic experience was associated with differences in EMG amplitude ([Formula: see text]), muscle activity ([Formula: see text]), hand acceleration ([Formula: see text]), user movement ([Formula: see text]), and muscle fatigue. For the cutting task, the deltoid, bicep, forearm EMG amplitude, and user movement significantly differed between experience groups. Conclusion. This pilot study demonstrates that different muscle groups are preferentially activated during laparoscopic tasks depending on the level of surgical experience. Expert surgeons showed less muscle activity compared with novices. EvalLap EMG-ACC represents a promising means to distinguish surgeons with basic cutting skills from those who have not yet developed these skills.
Databáze: OpenAIRE
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