Literature DB >> 10356872

Quantification of force abnormalities during passive and active-assisted upper-limb reaching movements in post-stroke hemiparesis.

P S Lum1, C G Burgar, D E Kenney, H F Van der Loos.   

Abstract

We evaluated a method for measuring abnormal upper-limb motor performance in post-stroke hemiparetic subjects. A servomechanism (MIME) moved the forearm in simple planar trajectories, directly controlling hand position and forearm orientation. Design specifications are presented, along with system performance data during an initial test of 13 stroke subjects with a wide range of impairment levels. Performance of subjects was quantified by measuring the forces and torques between the paretic limb and the servomechanism as the subjects relaxed (passive), or attempted to generate force in the direction of movement (active). During passive movements, the more severely impaired subjects resisted movement, producing higher levels of negative work than less-impaired subjects and neurologically normal controls. During active movements, the more severely impaired subjects produced forces with larger directional errors, and were less efficient in producing work. These metrics had significant test-retest repeatability. These motor performance metrics can potentially detect smaller within-subject changes than motor function scales. This method could complement currently used measurement tools for the evaluation of subjects during recovery from stroke, or during therapeutic interventions.

Entities:  

Mesh:

Year:  1999        PMID: 10356872     DOI: 10.1109/10.764942

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  25 in total

Review 1.  Biomechanics of reaching: clinical implications for individuals with acquired brain injury.

Authors:  P H McCrea; J J Eng; A J Hodgson
Journal:  Disabil Rehabil       Date:  2002-07-10       Impact factor: 3.033

2.  Saturated muscle activation contributes to compensatory reaching strategies after stroke.

Authors:  Patrick H McCrea; Janice J Eng; Antony J Hodgson
Journal:  J Neurophysiol       Date:  2005-07-13       Impact factor: 2.714

3.  Customized interactive robotic treatment for stroke: EMG-triggered therapy.

Authors:  Laura Dipietro; Mark Ferraro; Jerome Joseph Palazzolo; Hermano Igo Krebs; Bruce T Volpe; Neville Hogan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2005-09       Impact factor: 3.802

4.  Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.

Authors:  Amy A Blank; James A French; Ali Utku Pehlivan; Marcia K O'Malley
Journal:  Curr Phys Med Rehabil Rep       Date:  2014-09

5.  A Short and Distinct Time Window for Recovery of Arm Motor Control Early After Stroke Revealed With a Global Measure of Trajectory Kinematics.

Authors:  Juan C Cortes; Jeff Goldsmith; Michelle D Harran; Jing Xu; Nathan Kim; Heidi M Schambra; Andreas R Luft; Pablo Celnik; John W Krakauer; Tomoko Kitago
Journal:  Neurorehabil Neural Repair       Date:  2017-03-16       Impact factor: 3.919

6.  Arm-eye coordination test to objectively quantify motor performance and muscles activation in persons after stroke undergoing robot-aided rehabilitation training: a pilot study.

Authors:  Rong Song; Kai-Yu Tong; Xiaoling Hu; Le Li; Rui Sun
Journal:  Exp Brain Res       Date:  2013-02-01       Impact factor: 1.972

7.  Finite element analysis of the wrist in stroke patients: the effects of hand grip.

Authors:  Muhammad Hanif Ramlee; Gan Kok Beng; Nazri Bajuri; Mohammed Rafiq Abdul Kadir
Journal:  Med Biol Eng Comput       Date:  2017-12-05       Impact factor: 2.602

8.  An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning.

Authors:  Geng Yang; Jia Deng; Gaoyang Pang; Hao Zhang; Jiayi Li; Bin Deng; Zhibo Pang; Juan Xu; Mingzhe Jiang; Pasi Liljeberg; Haibo Xie; Huayong Yang
Journal:  IEEE J Transl Eng Health Med       Date:  2018-05-08       Impact factor: 3.316

9.  Movement smoothness changes during stroke recovery.

Authors:  Brandon Rohrer; Susan Fasoli; Hermano Igo Krebs; Richard Hughes; Bruce Volpe; Walter R Frontera; Joel Stein; Neville Hogan
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

10.  The effect of involuntary motor activity on myoelectric pattern recognition: a case study with chronic stroke patients.

Authors:  Xu Zhang; Yun Li; Xiang Chen; Guanglin Li; William Zev Rymer; Ping Zhou
Journal:  J Neural Eng       Date:  2013-07-17       Impact factor: 5.379

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