Literature DB >> 15094151

Toward an objective interpretation of surface EMG patterns: a voluntary response index (VRI).

D C Lee1, H K Lim, W B McKay, M M Priebe, S A Holmes, A M Sherwood.   

Abstract

Individuals with incomplete spinal cord injuries (SCI) retain varying degrees of voluntary motor control. The complexity of the motor control system and the nature of the recording biophysics have inhibited efforts to develop objective measures of voluntary motor control. This paper proposes the definition and use of a voluntary response index (VRI) calculated from quantitative analysis of surface electromyographic (sEMG) data recorded during defined voluntary movement as a sensitive measure of voluntary motor control in such individuals. The VRI is comprised of two numeric values, one derived from the total muscle activity recorded for the voluntary motor task (magnitude), and the other from the sEMG distribution across the recorded muscles (similarity index (SI)). Calculated as a vector, the distribution of sEMG from the test subject is compared to the average vector calculated from sEMG recordings of the same motor task from 10 neurologically intact subjects in a protocol called brain motor control assessment (BMCA). To evaluate the stability of the VRI, a group of five healthy subjects were individually compared to the prototype, average healthy-subject vectors for all of the maneuvers. To evaluate the sensitivity of this method, the VRI was obtained from two SCI subjects participating in other research studies. One was undergoing supported treadmill ambulation training, and the other a controlled withdrawal of anti-spasticity medications. The supported treadmill training patient's VRI, calculated from pre- and post-training BMCA recordings, reflected the qualitative changes in sEMG patterns and functional improvement of motor control. The VRI of the patient followed by serial BMCA during medication withdrawal also reflected changes in the motor control as a result of changes in anti-spasticity medication. To validate this index for clinical use, serial studies using larger numbers of subjects with compromised motor control should be performed.

Entities:  

Mesh:

Year:  2004        PMID: 15094151     DOI: 10.1016/j.jelekin.2003.10.006

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


  22 in total

1.  Respiratory motor control disrupted by spinal cord injury: mechanisms, evaluation, and restoration.

Authors:  Daniela G L Terson de Paleville; William B McKay; Rodney J Folz; Alexander V Ovechkin
Journal:  Transl Stroke Res       Date:  2011-12-01       Impact factor: 6.829

Review 2.  Surface electromyography as a measure of trunk muscle activity in patients with spinal cord injury: a meta-analytic review.

Authors:  Yi-ji Wang; Jian-jun Li; Hong-jun Zhou; Geng-lin Liu; Ying Zheng; Bo Wei; Ying Zhang; Chun-xia Hao; Hai-qiong Kang; Yuan Yuan; Lian-jun Gao
Journal:  J Spinal Cord Med       Date:  2015-10-23       Impact factor: 1.985

3.  Locomotor step training with body weight support improves respiratory motor function in individuals with chronic spinal cord injury.

Authors:  Daniela Terson de Paleville; William McKay; Sevda Aslan; Rodney Folz; Dimitry Sayenko; Alexander Ovechkin
Journal:  Respir Physiol Neurobiol       Date:  2013-08-31       Impact factor: 1.931

4.  Neurophysiological examination of the corticospinal system and voluntary motor control in motor-incomplete human spinal cord injury.

Authors:  W B McKay; D C Lee; H K Lim; S A Holmes; A M Sherwood
Journal:  Exp Brain Res       Date:  2004-12-23       Impact factor: 1.972

5.  Reliability of surface EMG as an assessment tool for trunk activity and potential to determine neurorecovery in SCI.

Authors:  M D Mitchell; M B Yarossi; D N Pierce; E L Garbarini; G F Forrest
Journal:  Spinal Cord       Date:  2014-12-02       Impact factor: 2.772

6.  Community reintegration and related factors in a Nigerian stroke sample.

Authors:  Christopher Akosile; Chioma Nworah; Emmanuel Okoye; Babatunde Adegoke; Joseph Umunnah; Ayodeji Fabunmi
Journal:  Afr Health Sci       Date:  2016-09       Impact factor: 0.927

7.  Profiling motor control in spinal cord injury: moving towards individualized therapy and evidence-based care progression.

Authors:  Keith E Tansey
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

Review 8.  Outcome measures in spinal cord injury: recent assessments and recommendations for future directions.

Authors:  M S Alexander; K D Anderson; F Biering-Sorensen; A R Blight; R Brannon; T N Bryce; G Creasey; A Catz; A Curt; W Donovan; J Ditunno; P Ellaway; N B Finnerup; D E Graves; B A Haynes; A W Heinemann; A B Jackson; M V Johnston; C Z Kalpakjian; N Kleitman; A Krassioukov; K Krogh; D Lammertse; S Magasi; M J Mulcahey; B Schurch; A Sherwood; J D Steeves; S Stiens; D S Tulsky; H J A van Hedel; G Whiteneck
Journal:  Spinal Cord       Date:  2009-04-21       Impact factor: 2.772

9.  Evaluation of respiratory muscle activation using respiratory motor control assessment (RMCA) in individuals with chronic spinal cord injury.

Authors:  Sevda C Aslan; Manpreet K Chopra; William B McKay; Rodney J Folz; Alexander V Ovechkin
Journal:  J Vis Exp       Date:  2013-07-19       Impact factor: 1.355

Review 10.  Properties of the surface electromyogram following traumatic spinal cord injury: a scoping review.

Authors:  Gustavo Balbinot; Guijin Li; Matheus Joner Wiest; Maureen Pakosh; Julio Cesar Furlan; Sukhvinder Kalsi-Ryan; Jose Zariffa
Journal:  J Neuroeng Rehabil       Date:  2021-06-29       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.