Entropy Analysis of Kinematics and Electromyography Signals during Upper Limb Tracking Tasks

Yuanyu Wu1, Ying Chen2, Rong Song

  • 1Sun Yat-sun University
  • 2Sun Yat-sen University

Details

11:30 - 13:30 | Fri 26 May | Emerald III, Rose, Narcissus & Jasmine | FrPS1T1.54

Session: Poster I

Abstract

Four kinds of upper limb tracking tasks with increasing complexity were performed to study the changes of kinematics and electromyography (EMG) signals towards different task demands. Results showed the entropy of elbow angle increased when tracking became more difficult while it was the opposite for biceps EMG signals. Entropy analysis might reveal the mechanisms of human motor control in neuromuscular system.