Literature DB >> 25373107

Control of robotic assistance using poststroke residual voluntary effort.

Nathaniel S Makowski, Jayme S Knutson, John Chae, Patrick E Crago.   

Abstract

Poststroke hemiparesis limits the ability to reach, in part due to involuntary muscle co-activation (synergies). Robotic approaches are being developed for both therapeutic benefit and continuous assistance during activities of daily living. Robotic assistance may enable participants to exert less effort, thereby reducing expression of the abnormal co-activation patterns, which could allow participants to reach further. This study evaluated how well participants could perform a reaching task with robotic assistance that was either provided independent of effort in the vertical direction or in the sagittal plane in proportion to voluntary effort estimated from electromyograms (EMG) on the affected side. Participants who could not reach targets without assistance were enabled to reach further with assistance. Constant anti-gravity force assistance that was independent of voluntary effort did not reduce the quality of reach and enabled participants to exert less effort while maintaining different target locations. Force assistance that was proportional to voluntary effort on the affected side enabled participants to exert less effort and could be controlled to successfully reach targets, but participants had increased difficulty maintaining a stable position. These results suggest that residual effort on the affected side can produce an effective command signal for poststroke assistive devices.

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Year:  2014        PMID: 25373107     DOI: 10.1109/TNSRE.2014.2364273

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  4 in total

1.  Feasibility of Two Different EMG-Based Pattern Recognition Control Paradigms to Control a Robot After Stroke - Case Study.

Authors:  Joseph V Kopke; Michael D Ellis; Levi J Hargrove
Journal:  Proc IEEE RAS EMBS Int Conf Biomed Robot Biomechatron       Date:  2020-10-15

2.  Differences between flexion and extension synergy-driven coupling at the elbow, wrist, and fingers of individuals with chronic hemiparetic stroke.

Authors:  Laura Miller McPherson; Julius P A Dewald
Journal:  Clin Neurophysiol       Date:  2019-01-31       Impact factor: 3.708

3.  Surface EMG-Based Inter-Session Gesture Recognition Enhanced by Deep Domain Adaptation.

Authors:  Yu Du; Wenguang Jin; Wentao Wei; Yu Hu; Weidong Geng
Journal:  Sensors (Basel)       Date:  2017-02-24       Impact factor: 3.576

4.  A pilot study into reaching performance after severe to moderate stroke using upper arm support.

Authors:  Matthew R Williams
Journal:  PLoS One       Date:  2018-07-17       Impact factor: 3.240

  4 in total

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