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

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 (Aavg), muscle activity (iEMG), hand acceleration (iACH), user movement (iAC), 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.

Analysis of subtle movements related to neurodegenerative diseases using wearable inertial sensors: a study in healthy subjects.

Evaluation of movement disorders is a useful tool for the diagnostic and monitoring of diseases related with damage of the motor control systems, such as Parkinson's disease. The evaluation of well characterized movement disorders has been proposed using different techniques each one with their advantages and limitations. This document propose the use a system based on inertial sensors and wireless technology for the measurement and evaluation of three of the most common movement disorders related with Parkinson's disease. Measurement of Anticipatory Postural Adjustments (APAs), Postural Sway and hand's tremor were carried out using inertial sensors modules (IMU). Results obtained from measurements in elderly and young subjects are presented, as well as the set up and parameters suggested for quantitative analysis.