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Full-Text Articles in Medicine and Health Sciences
Beyond Efficiency: Surface Electromyography Enables Further Insights Into The Surgical Movements Of Urologists, Rahul Soangra, Pengbo Jiang, Daniel Haik, Perry Xu, Andrew Brevik, Akhil Peta, Shlomi Tapiero, Jaime Landman, Emmanuel John, Ralph V. Clayman
Beyond Efficiency: Surface Electromyography Enables Further Insights Into The Surgical Movements Of Urologists, Rahul Soangra, Pengbo Jiang, Daniel Haik, Perry Xu, Andrew Brevik, Akhil Peta, Shlomi Tapiero, Jaime Landman, Emmanuel John, Ralph V. Clayman
Physical Therapy Faculty Articles and Research
Introduction: Surgical skill evaluation while performing minimally invasive surgeries is a highly complex task. It is important to objectively assess an individual's technical skills throughout surgical training to monitor progress and to intervene when skills are not commensurate with the year of training. The miniaturization of wireless wearable platforms integrated with sensor technology has made it possible to noninvasively assess muscle activations and movement variability during performance of minimally invasive surgical tasks. Our objective was to use electromyography (EMG) to deconstruct the motions of a surgeon during robotic suturing (RS) and distinguish quantifiable movements that characterize the skill of an …
Evaluation Of Surgical Skill Using Machine Learning With Optimal Wearable Sensor Locations, Rahul Soangra, R. Sivakumar, E. R. Anirudh, Sai Viswanth Reddy Y., Emmanuel B. John
Evaluation Of Surgical Skill Using Machine Learning With Optimal Wearable Sensor Locations, Rahul Soangra, R. Sivakumar, E. R. Anirudh, Sai Viswanth Reddy Y., Emmanuel B. John
Physical Therapy Faculty Articles and Research
Evaluation of surgical skills during minimally invasive surgeries is needed when recruiting new surgeons. Although surgeons’ differentiation by skill level is highly complex, performance in specific clinical tasks such as pegboard transfer and knot tying could be determined using wearable EMG and accelerometer sensors. A wireless wearable platform has made it feasible to collect movement and muscle activation signals for quick skill evaluation during surgical tasks. However, it is challenging since the placement of multiple wireless wearable sensors may interfere with their performance in the assessment. This study utilizes machine learning techniques to identify optimal muscles and features critical for …