Liu, Jie Kang, Sang Hoon Xu, Dali Ren, Yupeng Lee, Song Joo Zhang, Li-Qun 2024-01-20T01:01:38Z 2024-01-20T01:01:38Z 2021-09-05 2017-08 1662-4548 https://pubs.kist.re.kr/handle/201004/122470 Among the potential biological signals for human-machine interactions (brain, nerve, and muscle signals), electromyography (EMG) widely used in clinical setting can be obtained non-invasively as motor commands to control movements. The aim of this study was to develop a model for continuous and simultaneous decoding of multi-joint dynamic arm movements based on multi-channel surface EMG signals crossing the joints, leading to application of myoelectrically controlled exoskeleton robots for upper-limb rehabilitation. Twenty subjects were recruited for this study including 10 stroke subjects and 10 able-bodied subjects. The subjects performed free arm reaching movements in the horizontal plane with an exoskeleton robot. The shoulder, elbow and wrist movements and surface EMG signals from six muscles crossing the three joints were recorded. A non-linear autoregressive exogenous (NARX) model was developed to continuously decode the shoulder, elbow and wrist movements based solely on the EMG signals. The shoulder, elbow and wrist movements were decoded accurately based only on the EMG inputs in all the subjects, with the variance accounted for (VAF) > 98% for all three joints. The proposed approach is capable of simultaneously and continuously decoding multi-joint movements of the human arm by taking into account the non-linear mappings between the muscle EMGs and joint movements, which may provide less effortful control of robotic exoskeletons for rehabilitation training of individuals with neurological disorders and arm impairment. English Frontiers Media S.A. EMG-Based Continuous and Simultaneous Estimation of Arm Kinematics in Able-Bodied Individuals and Stroke Survivors Article 10.3389/fnins.2017.00480 1 Frontiers in Neuroscience, v.11 Frontiers in Neuroscience 11 Y scie scopus 000408339000002 2-s2.0-85032903791 Neurosciences Neurosciences & Neurology Article PROPORTIONAL MYOELECTRIC CONTROL NARX NEURAL-NETWORKS SPINAL-CORD-INJURY OF-THE-ART LIMB PROSTHESES SURFACE ELECTROMYOGRAPHY SYSTEM-IDENTIFICATION JOINT ANGLES REAL-TIME REHABILITATION electromyogram (EMG) non-linear autoregressive exogenous model continuous decoding exoskeleton robot computational neuroscience