Literature DB >> 11551819

Indices to describe different muscle activation patterns, identified during treadmill walking, in people with spastic drop-foot.

J H Burridge1, D E Wood, P N Taylor, D L McLellan.   

Abstract

This study was concerned with individuals who were unable to effectively dorsiflex their ankle when walking, as a result of a lesion of the central nervous system (CNS). Indices that categorise and quantify different patterns of calf and anterior tibial muscle activation patterns during treadmill walking have been derived from a sample of fifteen individuals with established hemiplegia following stroke and twelve age-matched individuals without impairment. As subjects walked on a treadmill, force sensitive foot-switches under the heel and first metatarsal head allowed EMG signals from the calf and anterior tibial muscles to be related to phases of the gait cycle. Normal activation periods for each muscle group were identified as percentiles of the gait cycle and indices for muscle activation periods were derived using ratios of integrated EMG during selected periods. Indices were derived that identified statistically significant differences, between normal and hemiplegic subjects, in calf activation during both push-off phase (P<0.001) and early stance phase (P<001), but not activation of tibialis anterior during swing (P=0.325) Observation suggested that integrated tibialis anterior activity during swing phase in hemiplegic subjects was not dissimilar to normal subjects, but the profile in hemiplegic subjects tended to lack the normal second peak of activity at initial foot contact. The reasons for drop-foot were shown to be varied and complex. The indices defined may be useful for directing therapy and measuring outcome.

Entities:  

Mesh:

Year:  2001        PMID: 11551819     DOI: 10.1016/s1350-4533(01)00061-3

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  22 in total

Review 1.  Sensory control of normal movement and of movement aided by neural prostheses.

Authors:  Arthur Prochazka
Journal:  J Anat       Date:  2015-06-05       Impact factor: 2.610

2.  Paretic muscle atrophy and non-contractile tissue content in individual muscles of the post-stroke lower extremity.

Authors:  John W Ramsay; Peter J Barrance; Thomas S Buchanan; Jill S Higginson
Journal:  J Biomech       Date:  2011-09-25       Impact factor: 2.712

3.  Forced Use of the Paretic Leg Induced by a Constraint Force Applied to the Nonparetic Leg in Individuals Poststroke During Walking.

Authors:  Chao-Jung Hsu; Janis Kim; Elliot J Roth; William Z Rymer; Ming Wu
Journal:  Neurorehabil Neural Repair       Date:  2017-11-16       Impact factor: 3.919

4.  Applying a pelvic corrective force induces forced use of the paretic leg and improves paretic leg EMG activities of individuals post-stroke during treadmill walking.

Authors:  Chao-Jung Hsu; Janis Kim; Rongnian Tang; Elliot J Roth; William Z Rymer; Ming Wu
Journal:  Clin Neurophysiol       Date:  2017-07-31       Impact factor: 3.708

5.  Forced use of paretic leg induced by constraining the non-paretic leg leads to motor learning in individuals post-stroke.

Authors:  Ming Wu; Chao-Jung Hsu; Janis Kim
Journal:  Exp Brain Res       Date:  2019-08-12       Impact factor: 1.972

6.  Spike-timing-dependent plasticity in lower-limb motoneurons after human spinal cord injury.

Authors:  M A Urbin; Recep A Ozdemir; Toshiki Tazoe; Monica A Perez
Journal:  J Neurophysiol       Date:  2017-05-03       Impact factor: 2.714

7.  Rhythmic arm cycling training improves walking and neurophysiological integrity in chronic stroke: the arms can give legs a helping hand in rehabilitation.

Authors:  Chelsea Kaupp; Gregory E P Pearcey; Taryn Klarner; Yao Sun; Hilary Cullen; Trevor S Barss; E Paul Zehr
Journal:  J Neurophysiol       Date:  2017-12-06       Impact factor: 2.714

8.  Relationships between muscle activity and anteroposterior ground reaction forces in hemiparetic walking.

Authors:  Lindsey J Turns; Richard R Neptune; Steven A Kautz
Journal:  Arch Phys Med Rehabil       Date:  2007-09       Impact factor: 3.966

9.  A biomechanical model to estimate corrective changes in muscle activation patterns for stroke patients.

Authors:  Qi Shao; Thomas S Buchanan
Journal:  J Biomech       Date:  2008-08-30       Impact factor: 2.712

10.  An EMG-driven model to estimate muscle forces and joint moments in stroke patients.

Authors:  Qi Shao; Daniel N Bassett; Kurt Manal; Thomas S Buchanan
Journal:  Comput Biol Med       Date:  2009-10-08       Impact factor: 4.589

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.