Next Article in Journal
Mode Conversion Behavior of Guided Wave in a Pipe Inspection System Based on a Long Waveguide
Next Article in Special Issue
Arrhythmia Classification Based on Multi-Domain Feature Extraction for an ECG Recognition System
Previous Article in Journal
Responsive Boronic Acid-Decorated (Co)polymers: From Glucose Sensors to Autonomous Drug Delivery
Previous Article in Special Issue
Gait Phase Recognition for Lower-Limb Exoskeleton with Only Joint Angular Sensors
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(10), 1739;

Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation

Key Laboratory of Mechanism Theory and Equipment Design of the Ministry of Education, Tianjin University, Tianjin 300354, China
State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin 150080, China
Department of Intelligent Mechanical Systems Engineering, Kagawa University, Kagawa Prefecture 761-0396, Japan
Author to whom correspondence should be addressed.
Academic Editors: Steffen Leonhardt and Daniel Teichmann
Received: 2 June 2016 / Revised: 20 August 2016 / Accepted: 21 September 2016 / Published: 19 October 2016
(This article belongs to the Special Issue Wearable Biomedical Sensors)
Full-Text   |   PDF [4190 KB, uploaded 19 October 2016]   |  


Surface electromyography (sEMG) signals are closely related to the activation of human muscles and the motion of the human body, which can be used to estimate the dynamics of human limbs in the rehabilitation field. They also have the potential to be used in the application of bilateral rehabilitation, where hemiplegic patients can train their affected limbs following the motion of unaffected limbs via some rehabilitation devices. Traditional methods to process the sEMG focused on motion pattern recognition, namely, discrete patterns, which are not satisfactory for use in bilateral rehabilitation. In order to overcome this problem, in this paper, we built a relationship between sEMG signals and human motion in elbow flexion and extension on the sagittal plane. During the conducted experiments, four participants were required to perform elbow flexion and extension on the sagittal plane smoothly with only an inertia sensor in their hands, where forearm dynamics were not considered. In these circumstances, sEMG signals were weak compared to those with heavy loads or high acceleration. The contrastive experimental results show that continuous motion can also be obtained within an acceptable precision range. View Full-Text
Keywords: sEMG; continuous recognition; rehabilitation robotics sEMG; continuous recognition; rehabilitation robotics

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Song, Z.; Zhang, S. Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation. Sensors 2016, 16, 1739.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top