Surgical Hand Gesture Recognition Utilizing Electroencephalogram as Input to the Machine Learning and Network Neuroscience Algorithms

Surgical Hand Gesture Recognition Utilizing Electroencephalogram as Input to the Machine Learning and Network Neuroscience Algorithms

Surgical gestures detection can provide targeted, automated surgical skill assessment and feedback during surgical training for robot-assisted surgery (RAS). Several sources including surgical videos, robot tool kinematics, and an electromyogram (EMG) have been proposed to reach this goal. We aimed...

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Bibliographic Details
Main Authors: Somayeh B. Shafiei, Mohammad Durrani, Zhe Jing, Michael Mostowy, Philippa Doherty, Ahmed A. Hussein, Ahmed S. Elsayed, Umar Iqbal, Khurshid Guru
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
robot-assisted surgery (RAS)
electroencephalogram (EEG)
functional brain network
surgical gesture detection
Online Access:https://www.mdpi.com/1424-8220/21/5/1733

Internet

https://www.mdpi.com/1424-8220/21/5/1733

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