Next Article in Journal
Humidity Sensors with Shielding Electrode Under Interdigitated Electrode
Next Article in Special Issue
A Magnet-Based Timing System to Detect Gate Crossings in Alpine Ski Racing
Previous Article in Journal
Design and Performance Evaluation of an Algorithm Based on Source Term Estimation for Odor Source Localization
Previous Article in Special Issue
Wearable Sensor Based Stooped Posture Estimation in Simulated Parkinson’s Disease Gaits
Article Menu
Issue 3 (February-1) cover image

Export Article

Open AccessArticle

The Use of Wearable Sensors for the Movement Assessment on Muscle Contraction Sequences in Post-Stroke Patients during Sit-to-Stand

1
Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
2
Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
3
National Defense Medical Center, Taipei 11490, Taiwan
4
Department of Neurology, Tri-Service General Hospital, National Defense Medical Center, Taipei 11490, Taiwan
5
Department of Physical Medicine and Rehabilitation, Shuang-Ho Hospital, Taipei Medical University, Taipei 11031, Taiwan
6
School of Gerontology Health Management, College of Nursing, Taipei Medical University, Taipei 11031, Taiwan
7
Department of Neurosurgery, Tri-Service General Hospital, Taipei 11490, Taiwan
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(3), 657; https://doi.org/10.3390/s19030657
Received: 25 October 2018 / Revised: 14 January 2019 / Accepted: 16 January 2019 / Published: 6 February 2019
(This article belongs to the Special Issue Wearable Sensors for Gait and Motion Analysis 2018)
  |  
PDF [717 KB, uploaded 6 February 2019]
  |  

Abstract

Electromyography (EMG) sensors have been used to study the sequence of muscle contractions during sit-to-stand (STS) in post-stroke patients. However, the majority of the studies used wired sensors with a limited number of placements. Using the latest improved wearable technology with 16 sensors, the current study was a thorough investigation to evaluate the contraction sequences of eight key muscles on the trunk and bilateral limbs during STS in post-stroke patients, as it became feasible. Multiple wearable sensors for the detection of muscle contraction sequences showed that the post-stroke patients performed STS with abnormal firing sequences, not only in the primary mover on the sagittal plane during raising, but also in the tibialis anterior, which may affect anticipatory postural adjustment in the gluteus medius, which may affect balance control. The abnormal tibialis anterior contraction until the early ascending phase and the delayed firing of the gluteus muscles highlight the importance of whole-kinetic-chain monitoring of contraction sequences using wearable sensors. The findings can be helpful for the design of therapeutic exercises. View Full-Text
Keywords: wearable sensors; electromyography signal; stroke; sit-to-stand; contraction of the muscles wearable sensors; electromyography signal; stroke; sit-to-stand; contraction of the muscles
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

Share & Cite This Article

MDPI and ACS Style

Hsu, W.-C.; Chang, C.-C.; Lin, Y.-J.; Yang, F.-C.; Lin, L.-F.; Chou, K.-N. The Use of Wearable Sensors for the Movement Assessment on Muscle Contraction Sequences in Post-Stroke Patients during Sit-to-Stand. Sensors 2019, 19, 657.

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