PMID- 30010089
OWN - NLM
STAT- MEDLINE
DCOM- 20191115
LR  - 20191115
IS  - 1741-2552 (Electronic)
IS  - 1741-2552 (Linking)
VI  - 15
IP  - 5
DP  - 2018 Oct
TI  - Characterization of the coordination of agonist and antagonist muscles among 
      stroke patients, healthy late middle-aged and young controls using a 
      myoelectric-controlled interface.
PG  - 056015
LID - 10.1088/1741-2552/aad387 [doi]
AB  - OBJECTIVE: The coordination of agonist and antagonist muscles around a single 
      joint plays an important role in daily activities. The aim of this study was to 
      apply a myoelectric-controlled interface (MCI) with different dimensions to 
      investigate stroke- and aging-induced deteriorations in the coordination of 
      agonist and antagonist muscles. APPROACH: Eight stroke patients (affected sides), 
      ten healthy late middle-aged controls and eighteen healthy young controls were 
      enrolled to perform tracking tasks during voluntary isometric elbow flexion and 
      extension by modulating their biceps and triceps activities with 1D or 2D MCI. 
      The root mean square error (RMSE) between actual and target agonist activations, 
      normalized agonist and antagonist activations, and co-contraction index (CI) and 
      normalized elbow torque were used to quantify the movement performance. MAIN 
      RESULTS: During elbow extension, significant increases in RMSE were identified in 
      stroke patients with increasing MCI dimensionality, whereas significant decreases 
      in normalized agonist and antagonist activations and normalized elbow torque were 
      observed in all three groups. In addition, significant decreases in CI were 
      observed in both control groups (P  <  0.05). During elbow flexion and extension, 
      RMSE increased in the following order: young controls  <  late middle-aged 
      controls  <  stroke patients. By contrast, CI was significantly higher in stroke 
      patients and late middle-aged controls than in young controls, possibly due to 
      stroke- and aging-induced loss of skill in modulating the coordination of agonist 
      and antagonist muscles when meeting the demands of a changing environment. 
      SIGNIFICANCE: This study suggests that 2D MCI might be applied as a 
      rehabilitation tool to achieve fine control of abnormal muscle coordination.
FAU - Luo, Jie
AU  - Luo J
AD  - Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong 
      province, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 
      Guangdong, People's Republic of China.
FAU - Sun, Wenbo
AU  - Sun W
FAU - Wu, Yuanyu
AU  - Wu Y
FAU - Liu, Huihua
AU  - Liu H
FAU - Wang, Xiaoyun
AU  - Wang X
FAU - Yan, Tiebin
AU  - Yan T
FAU - Song, Rong
AU  - Song R
LA  - eng
PT  - Journal Article
DEP - 20180716
PL  - England
TA  - J Neural Eng
JT  - Journal of neural engineering
JID - 101217933
SB  - IM
MH  - Adult
MH  - Aged
MH  - Aging/physiology
MH  - *Brain-Computer Interfaces
MH  - Elbow/physiopathology
MH  - *Electromyography
MH  - Female
MH  - Humans
MH  - Isometric Contraction/physiology
MH  - Male
MH  - Middle Aged
MH  - Muscle, Skeletal/*physiopathology
MH  - Psychomotor Performance
MH  - Stroke/*physiopathology/psychology
MH  - Torque
MH  - Young Adult
EDAT- 2018/07/17 06:00
MHDA- 2019/11/16 06:00
CRDT- 2018/07/17 06:00
PHST- 2018/07/17 06:00 [pubmed]
PHST- 2019/11/16 06:00 [medline]
PHST- 2018/07/17 06:00 [entrez]
AID - 10.1088/1741-2552/aad387 [doi]
PST - ppublish
SO  - J Neural Eng. 2018 Oct;15(5):056015. doi: 10.1088/1741-2552/aad387. Epub 2018 Jul 
      16.