Literature DB >> 16051498

Kinesiological and kinematical analysis for stroke subjects with asymmetrical cycling movement patterns.

Hsin-Yung Chen1, Shih-Ching Chen, Jia-Jin Jason Chen, Li-Lan Fu, Yu Lin Wang.   

Abstract

This aim of this study is to provide quantitative analyses of asymmetrical movements between affected and unaffected limbs for hemiparetic subjects in a cycling ergometer. To acquire kinesiological and kinematical data, electromyography (EMG) of quadriceps muscles in the both legs as well as crank positions under three cycling workloads were recorded. The symmetry index (SI) was designed to measure the similarity between muscle activities recorded from affected and unaffected limbs. Using kinematical information of the crank position, the cycling unsmoothness (denoted as roughness index, RI) can be derived from the curvature of the instantaneous cycling speed. Thirteen hemiparetic subjects following a cerebrovascular accident (CVA) and eight able-bodied subjects participated in this study. With total symmetry at SI=1, the average SIs of hemiparetic subjects (0.66+/-0.18) were significantly lower (p<0.01) than those of normal subjects (0.91+/-0.08) but no significant difference found among three workloads. From the average RI, subjects with hemiparesis exhibited less smooth cycling movements compared to normal group (p<0.01). Non-parametric Friedman and Wilcoxon tests of RIs further indicated that the workload factors are significantly different only for hemiparetic group (p<0.01). No significant difference between lower workloads in RIs showed that the CVA subjects' sound side alone can execute most of the cycling load with minimal involvement of the affected side under lower workload condition. When cycling at a heavier load, however, it is essential to force the affected limb to assist in the pedaling, thus accomplishing an effective cycling exercise. By combining these two quantitative indices, we can observe the kinesiological measurement of the symmetry of EMG phasic activities from SI and the kinematical cycling smoothness in a coordinated movement from RI, which could provide a clinical guideline for cycling exercises for hemiparetic subjects.

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Year:  2005        PMID: 16051498     DOI: 10.1016/j.jelekin.2005.06.001

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  16 in total

1.  Single limb exercise: pilot study of physiological and functional responses to forced use of the hemiparetic lower extremity.

Authors:  Sandra A Billinger; Lisa X Guo; Patricia S Pohl; Patricia M Kluding
Journal:  Top Stroke Rehabil       Date:  2010 Mar-Apr       Impact factor: 2.119

2.  FES-assisted Cycling Improves Aerobic Capacity and Locomotor Function Postcerebrovascular Accident.

Authors:  Stacey E Aaron; Catherine J Vanderwerker; Aaron E Embry; Jennifer H Newton; Samuel C K Lee; Chris M Gregory
Journal:  Med Sci Sports Exerc       Date:  2018-03       Impact factor: 5.411

3.  Improved lower extremity pedaling mechanics in individuals with stroke under maximal workloads.

Authors:  Susan M Linder; Anson B Rosenfeldt; Andrew S Bazyk; Mandy Miller Koop; Sarah Ozinga; Jay L Alberts
Journal:  Top Stroke Rehabil       Date:  2018-02-15       Impact factor: 2.119

4.  The cortical control of cycling exercise in stroke patients: an fNIRS study.

Authors:  Pei-Yi Lin; Jia-Jin Jason Chen; Sang-I Lin
Journal:  Hum Brain Mapp       Date:  2012-03-28       Impact factor: 5.038

5.  Modified total-body recumbent stepper exercise test for assessing peak oxygen consumption in people with chronic stroke.

Authors:  Sandra A Billinger; Benjamin Y Tseng; Patricia M Kluding
Journal:  Phys Ther       Date:  2008-09-04

6.  Single limb exercise induces femoral artery remodeling and improves blood flow in the hemiparetic leg poststroke.

Authors:  Sandra A Billinger; Byron J Gajewski; Lisa X Guo; Patricia M Kluding
Journal:  Stroke       Date:  2009-06-11       Impact factor: 7.914

7.  Impaired interlimb coordination is related to asymmetries during pedaling after stroke.

Authors:  Brice T Cleland; Tamicah Gelting; Brett Arand; Jan Struhar; Sheila Schindler-Ivens
Journal:  Clin Neurophysiol       Date:  2019-06-21       Impact factor: 3.708

8.  A biofeedback cycling training to improve locomotion: a case series study based on gait pattern classification of 153 chronic stroke patients.

Authors:  Simona Ferrante; Emilia Ambrosini; Paola Ravelli; Eleonora Guanziroli; Franco Molteni; Giancarlo Ferrigno; Alessandra Pedrocchi
Journal:  J Neuroeng Rehabil       Date:  2011-08-24       Impact factor: 4.262

9.  Forced and Voluntary Aerobic Cycling Interventions Improve Walking Capacity in Individuals With Chronic Stroke.

Authors:  Susan M Linder; Sara Davidson; Anson Rosenfeldt; John Lee; Mandy Miller Koop; Francois Bethoux; Jay L Alberts
Journal:  Arch Phys Med Rehabil       Date:  2020-09-09       Impact factor: 3.966

10.  A real-time fatigue monitoring and analysis system for lower extremity muscles with cycling movement.

Authors:  Szi-Wen Chen; Jiunn-Woei Liaw; Hsiao-Lung Chan; Ya-Ju Chang; Chia-Hao Ku
Journal:  Sensors (Basel)       Date:  2014-07-10       Impact factor: 3.576

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