2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Contribution of muscle activity at different gait phases for improving walking performance in chronic stroke patients with hemiparesis

      research-article
      , PhD 1 , * , , PhD 1 , , PhD 2
      Journal of Physical Therapy Science
      The Society of Physical Therapy Science
      Stroke, Gait, Electromyography

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          [Purpose] The aim of this study was to clarify the optimal timing for increasing muscle activity in the paralyzed lower limb of stroke survivors by evaluating the relationship between gait muscle activity patterns and gait parameters. [Participants and Methods] Electromyography of the tibialis anterior, soleus, rectus femoris, and biceps femoris on the paralyzed side and spatiotemporal gait parameters were evaluated in 40 chronic post-stroke patients as they walked at a comfortable speed. The normalized average amplitude and asymmetry indexes of each gait phase were calculated. The correlations between gait velocity or asymmetry indexes and the activity amplitudes of various muscles during each gait phase were analyzed. Multiple regression analysis was performed with gait velocity or asymmetry indexes as the response variable and the muscle activity amplitudes in the various gait phases as explanatory variables. [Results] The major determinants of gait velocity were the tibialis anterior activity ( β=−0.35) and biceps femoris activity ( β=0.45) during the swing phase. In addition, the biceps femoris activity during the swing phase was the major determinant of the asymmetry index for the swing phase duration ( β=−0.41). [Conclusion] For patients with hemiparesis, increasing the biceps femoris activity during the swing phase is considered optimal, which may lead to improvement in walking performance.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          Merging of healthy motor modules predicts reduced locomotor performance and muscle coordination complexity post-stroke.

          Evidence suggests that the nervous system controls motor tasks using a low-dimensional modular organization of muscle activation. However, it is not clear if such an organization applies to coordination of human walking, nor how nervous system injury may alter the organization of motor modules and their biomechanical outputs. We first tested the hypothesis that muscle activation patterns during walking are produced through the variable activation of a small set of motor modules. In 20 healthy control subjects, EMG signals from eight leg muscles were measured across a range of walking speeds. Four motor modules identified through nonnegative matrix factorization were sufficient to account for variability of muscle activation from step to step and across speeds. Next, consistent with the clinical notion of abnormal limb flexion-extension synergies post-stroke, we tested the hypothesis that subjects with post-stroke hemiparesis would have altered motor modules, leading to impaired walking performance. In post-stroke subjects (n = 55), a less complex coordination pattern was shown. Fewer modules were needed to account for muscle activation during walking at preferred speed compared with controls. Fewer modules resulted from merging of the modules observed in healthy controls, suggesting reduced independence of neural control signals. The number of modules was correlated to preferred walking speed, speed modulation, step length asymmetry, and propulsive asymmetry. Our results suggest a common modular organization of muscle coordination underlying walking in both healthy and post-stroke subjects. Identification of motor modules may lead to new insight into impaired locomotor coordination and the underlying neural systems.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Classification of walking handicap in the stroke population.

            The limited walking ability that follows a stroke restricts the patient's independent mobility about the home and community, a significant social handicap. To improve the in-hospital prediction of functional outcome, the relationships between impairment, disability, and handicap were assessed with clinical measures in 147 stroke patients. The patients' level of functional walking ability at home and in the community was assigned by expert clinicians to one of the six categories of a modified Hoffer Functional Ambulation scale at least 3 months after discharge. A 19-item questionnaire was further used to assess current customary mobility of the subjects. Functional muscle strength and proprioception were tested, and walking velocity was measured. The significant indicators of impairment, upright motor control knee flexion and extension strength, differentiated household from community ambulators. The addition of velocity improved the functional prediction. Proprioception was clinically normal in all walkers. The validity of the criteria for the six levels of walking handicap was confirmed statistically. Stepwise discriminant analysis reduced the ambulation activities on the questionnaire from 19 to 7. Redefinition of the criteria for patient classification using the coefficients and constants of the seven critical functions improved the prediction of patient walking ability to 84%. The results of this study offer a quantitative method of relating the social disadvantage of stroke patients to the impairment and disability sustained. The measurement of therapeutic outcome in relation to the social advantage for the patient would allow more efficient standardization of treatment and services.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Analysis of impairments influencing gait velocity and asymmetry of hemiplegic patients after mild to moderate stroke.

              To identify the most important impairments determining gait velocity and asymmetry in patients with mild to moderate stroke. Descriptive analysis of convenience sample. Outpatient rehabilitation clinic of a hospital in Taiwan. Twenty-six subjects with mild to moderate spastic hemiparesis after a single onset of stroke, all able to walk independently without any assistance or device. Not applicable. Subjects' maximal muscle strength (isokinetic peak torque, total work), motor and sensation function, and ankle plantarflexor spasticity of the affected lower extremity were examined using the Cybex 6000 dynamometry, Fugl-Meyer Assessment, and Modified Ashworth Scale, respectively. Gait velocity, as well as temporal and spatial asymmetry, were evaluated when subjects walked at their comfortable and fast speeds by using the GaitMatII. Regression analyses revealed that the total work isokinetic measures of the affected hip flexors and knee extensors were the most important independent determinants of the comfortable and fast gait velocities, respectively (R(2)=.57, R(2)=.72). Spasticity of the affected plantarflexors was the most important independent determinant of temporal and spatial gait asymmetry during comfortable-speed (R(2)=.76 for temporal asymmetry; R(2)=.46 for spatial asymmetry) and fast-speed (R(2)=.75 for temporal asymmetry; R(2)=.45 for spatial asymmetry) walking. Gait velocity and asymmetry of patients with mild to moderate stroke were affected by different physical impairments. Whereas gait velocity was mainly affected by weakness of the affected hip flexors and knee extensors, gait asymmetry was influenced primarily by the degree of the spasticity of the affected ankle plantarflexors. Therapeutic interventions aiming to improve different aspects of gait performance of these patients may emphasize treatment of different impairments.
                Bookmark

                Author and article information

                Journal
                J Phys Ther Sci
                J Phys Ther Sci
                JPTS
                Journal of Physical Therapy Science
                The Society of Physical Therapy Science
                0915-5287
                2187-5626
                6 November 2018
                November 2018
                : 30
                : 11
                : 1381-1385
                Affiliations
                [1) ] Department of Rehabilitation Physical Therapy, Faculty of Health Science, Fukui Health Science University: 55-13-1 Egami, Fukui-city, Fukui 910-3190, Japan
                [2) ] Department of Rehabilitation Medicine, Fukui General Hospital, Japan
                Author notes
                [* ]Corresponding author. Kazuki Fujita (E-mail: k.fujita-fchs@ 123456kvj.biglobe.ne.jp )
                Article
                jpts-2018-270
                10.1589/jpts.30.1381
                6220099
                51ce08ec-e603-46b7-a76e-d69eee497553
                2018©by the Society of Physical Therapy Science. Published by IPEC Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/ )

                History
                : 03 July 2018
                : 20 August 2018
                Categories
                Original Article

                stroke,gait,electromyography
                stroke, gait, electromyography

                Comments

                Comment on this article