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1.
J Electromyogr Kinesiol ; 19(4): 639-50, 2009 Aug.
Article in English | MEDLINE | ID: mdl-18490177

ABSTRACT

This study was to investigate the motor functional recovery process in chronic stroke during robot-assisted wrist training. Fifteen subjects with chronic upper extremity paresis after stroke attended a 20-session wrist tracking training using an interactive rehabilitation robot. Electromyographic (EMG) parameters, i.e., EMG activation levels of four muscles: biceps brachii (BIC), triceps brachii (TRI, lateral head), flexor carpiradialis (FCR), and extensor carpiradialis (ECR) and their co-contraction indexes (CI) were used to monitor the neuromuscular changes during the training course. The EMG activation levels of the FCR (11.1% of decrease from the initial), BIC (17.1% of decrease from the initial), and ECR (29.4% of decrease from the initial) muscles decreased significantly during the training (P<0.05). Such decrease was associated with decreased Modified Ashworth Scores for both the wrist and elbow joints (P<0.05). Significant decrease (P<0.05) was also found in CIs of muscle pairs, BIC&TRI (21% of decrease from the initial), FCR&BIC (11.3% of decrease from the initial), ECR&BIC (49.3% of decrease from the initial). The decreased CIs related to the BIC muscle were mainly caused by the reduction in the BIC EMG activation level, suggesting a better isolation of the wrist movements from the elbow motions. The decreased CI of ECR& FCR in the later training sessions (P<0.05) was due to the reduced co-contraction phase of the antagonist muscle pair in the tracking tasks. Significant improvements (P<0.05) were also found in motor outcomes related to the shoulder/elbow and wrist/hand scores assessed by the Fugl-Meyer assessment before and after the training. According to the evolution of the EMG parameters along the training course, further motor improvements could be obtained by providing more training sessions, since the decreases of the EMG parameters did not reach a steady state before the end of the training. The results in this study provided an objective and quantitative EMG measure to describe the motor recovery process during poststroke robot-assisted wrist for the further understanding on the neuromuscular mechanism associated with the recovery.


Subject(s)
Motion Therapy, Continuous Passive/methods , Muscle, Skeletal/physiopathology , Paresis/physiopathology , Paresis/rehabilitation , Robotics/methods , Stroke Rehabilitation , Stroke/physiopathology , Wrist Joint/physiopathology , Female , Humans , Male , Middle Aged , Muscle Contraction , Paresis/etiology , Recovery of Function , Stroke/complications , Therapy, Computer-Assisted/methods , Treatment Outcome
2.
Disabil Rehabil ; 25(1): 45-50, 2003 Jan 07.
Article in English | MEDLINE | ID: mdl-12554391

ABSTRACT

PURPOSE: Which functional tests on mobility and balance can better screen older people at risk of falls is unclear. This study aims to compare the Berg Balance Scale (BBS), Tinetti Mobility Score (TMS), Elderly Mobility Scale (EMS) and Timed Up and Go test (TUG) in discriminating fallers from non-fallers in older people. METHOD: This was a case-control study involving one rater who conducted a mobility and balance assessment on subjects using the four functional tests in random sequence. Subjects recruited included 17 and 22 older people with a history of single and multiple falls respectively from a public Falls Clinic, and 39 community-dwellers without fall history and whose age, sex and BMI matched those of the fallers. All subjects underwent the mobility and balance assessment within one day. RESULTS: Single fallers performed better than multiple fallers in all four functional tests but were worse than non-fallers in the BBS, TMS and TUG. The BBS demonstrated the best discriminating ability, with high sensitivity and specificity. The BBS item 'pick up an object from the floor' was the best at screening fallers. CONCLUSION: BBS was the most powerful functional test of the four in discriminating fallers from non-faller.


Subject(s)
Accidental Falls/prevention & control , Activities of Daily Living , Locomotion/physiology , Postural Balance/physiology , Aged , Aged, 80 and over , Analysis of Variance , Case-Control Studies , Confidence Intervals , Disability Evaluation , Female , Humans , Logistic Models , Male , Odds Ratio , ROC Curve , Risk Assessment , Sensitivity and Specificity , Task Performance and Analysis
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