Temporal Features of Muscle Synergies in Sit-to-Stand Motion Reflect the Motor Impairment of Post-Stroke Patients

Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is u...

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Bibliographic Details
Published in:IEEE transactions on neural systems and rehabilitation engineering 2019-10, Vol.27 (10), p.2118-2127
Main Authors: Yang, Ningjia, An, Qi, Kogami, Hiroki, Yamakawa, Hiroshi, Tamura, Yusuke, Takahashi, Kouji, Kinomoto, Makoto, Yamasaki, Hiroshi, Itkonen, Matti, Shibata-Alnajjar, Fady, Shimoda, Shingo, Hattori, Noriaki, Fujii, Takanori, Otomune, Hironori, Miyai, Ichiro, Yamashita, Atsushi, Asama, Hajime
Format: Article
Language:English
Subjects:
Electromyography
Force
Geriatrics
Hip
Impairment
Learning algorithms
Legged locomotion
Machine learning
Maintenance
Muscle synergy
Muscles
Older people
post-stroke
random forest
Rehabilitation
sit-to-stand
Stroke
Stroke (medical condition)
Temporal variations
Timing
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Summary:Sit-to-stand (STS) motion is an important daily activity, and many post-stroke patients have difficulty performing STS motion. Previous studies found that there are four muscle synergies (synchronized muscle activations) in the STS motion of healthy adults. However, for post-stroke patients, it is unclear whether muscle synergies change and which features primarily reflect motor impairment. Here, we use a machine learning method to demonstrate that temporal features in two muscle synergies that contribute to hip rising and balance maintenance motion reflect the motor impairment of post-stroke patients. Analyzing the muscle synergies of age-matched healthy elderly people (n = 12) and post-stroke patients (n = 33), we found that the same four muscle synergies could account for the muscle activity of post-stroke patients. Also, we were able to distinguish post-stroke patients from healthy people on the basis of the temporal features of these muscle synergies. Furthermore, these temporal features were found to correlate with motor impairment of post-stroke patients. We conclude that post-stroke patients can still utilize the same number of muscle synergies as healthy people, but the temporal structure of muscle synergies changes as a result of motor impairment. This could lead to a new rehabilitation strategy for post-stroke patients that focuses on activation timing of muscle synergies.
ISSN:1534-4320
1558-0210
DOI:10.1109/TNSRE.2019.2939193