Next Article in Journal
A Novel Gravity Compensation Method for High Precision Free-INS Based on “Extreme Learning Machine”
Next Article in Special Issue
Fusion of Inertial/Magnetic Sensor Measurements and Map Information for Pedestrian Tracking
Previous Article in Journal
MEMS IMU Error Mitigation Using Rotation Modulation Technique
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(12), 2018; doi:10.3390/s16122018

A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field

1
Sensor Networks and Applications Research Center (SNARC), University of Chinese Academy of Sciences (UCAS), Beijing 101408, China
2
School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, West Yorkshire, UK
*
Authors to whom correspondence should be addressed.
Academic Editor: Wendong Xiao
Received: 11 October 2016 / Revised: 17 November 2016 / Accepted: 25 November 2016 / Published: 29 November 2016
(This article belongs to the Special Issue Sensors and Analytics for Precision Medicine)
View Full-Text   |   Download PDF [2146 KB, uploaded 29 November 2016]   |  

Abstract

This paper proposes a neuromusculoskeletal (NMS) model to predict individual muscle force during elbow flexion and extension. Four male subjects were asked to do voluntary elbow flexion and extension. An inertial sensor and surface electromyography (sEMG) sensors were attached to subject's forearm. Joint angle calculated by fusion of acceleration and angular rate using an extended Kalman filter (EKF) and muscle activations obtained from the sEMG signals were taken as the inputs of the proposed NMS model to determine individual muscle force. The result shows that our NMS model can predict individual muscle force accurately, with the ability to reflect subject-specific joint dynamics and neural control solutions. Our method incorporates sEMG and motion data, making it possible to get a deeper understanding of neurological, physiological, and anatomical characteristics of human dynamic movement. We demonstrate the potential of the proposed NMS model for evaluating the function of upper limb movements in the field of neurorehabilitation. View Full-Text
Keywords: elbow; muscle force; neuromusculoskeletal (NMS) model; neurorehabilitation; surface electromyography (sEMG) elbow; muscle force; neuromusculoskeletal (NMS) model; neurorehabilitation; surface electromyography (sEMG)
Figures

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Hou, J.; Sun, Y.; Sun, L.; Pan, B.; Huang, Z.; Wu, J.; Zhang, Z. A Pilot Study of Individual Muscle Force Prediction during Elbow Flexion and Extension in the Neurorehabilitation Field. Sensors 2016, 16, 2018.

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

1

Comments

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