Practical method for predicting intended gait speed via soleus surface EMG signals
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Chung, S. H. | - |
dc.contributor.author | Choi, J. | - |
dc.contributor.author | Lee, J. M. | - |
dc.contributor.author | Kim, S-J | - |
dc.date.accessioned | 2021-08-30T23:13:54Z | - |
dc.date.available | 2021-08-30T23:13:54Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020-05-28 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/55629 | - |
dc.description.abstract | The lack of patient effort during robot-assisted gait training (RAGT) is thought to be the main factor behind unsatisfactory rehabilitative efficacy among hemiparetic stroke patients. A key milestone to implement patient-driven RAGT is to predict gait intent prior to actual joint movement. Here, the authors propose a method of predicting step speed intent via surface electromyogram (EMG) signals from the soleus. Six lower-limb muscles were initially evaluated on a treadmill, and the results suggest that the soleus EMG signals correlate well with step speed. The authors further propose a simple linear regression model which predicts subsequent step speed via current soleus EMG signals with over-ground gait sessions, R-2 of similar to 0.6. The proposed experimental results and simple prediction model should be applicable for RAGT without significant modifications. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.subject | TREADMILL WALKING | - |
dc.subject | STROKE PATIENTS | - |
dc.title | Practical method for predicting intended gait speed via soleus surface EMG signals | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, S-J | - |
dc.identifier.doi | 10.1049/el.2020.0090 | - |
dc.identifier.scopusid | 2-s2.0-85085387842 | - |
dc.identifier.wosid | 000537284100003 | - |
dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.56, no.11, pp.528 - 530 | - |
dc.relation.isPartOf | ELECTRONICS LETTERS | - |
dc.citation.title | ELECTRONICS LETTERS | - |
dc.citation.volume | 56 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 528 | - |
dc.citation.endPage | 530 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | TREADMILL WALKING | - |
dc.subject.keywordPlus | STROKE PATIENTS | - |
dc.subject.keywordAuthor | medical robotics | - |
dc.subject.keywordAuthor | electromyography | - |
dc.subject.keywordAuthor | patient rehabilitation | - |
dc.subject.keywordAuthor | regression analysis | - |
dc.subject.keywordAuthor | gait analysis | - |
dc.subject.keywordAuthor | medical signal processing | - |
dc.subject.keywordAuthor | intended gait speed | - |
dc.subject.keywordAuthor | soleus surface EMG signals | - |
dc.subject.keywordAuthor | patient effort | - |
dc.subject.keywordAuthor | robot-assisted gait training | - |
dc.subject.keywordAuthor | hemiparetic stroke patients | - |
dc.subject.keywordAuthor | patient-driven RAGT | - |
dc.subject.keywordAuthor | gait intent | - |
dc.subject.keywordAuthor | joint movement | - |
dc.subject.keywordAuthor | step speed intent | - |
dc.subject.keywordAuthor | surface electromyogram signals | - |
dc.subject.keywordAuthor | lower-limb muscles | - |
dc.subject.keywordAuthor | simple linear regression model | - |
dc.subject.keywordAuthor | over-ground gait sessions | - |
dc.subject.keywordAuthor | rehabilitative efficacy | - |
dc.subject.keywordAuthor | soleus EMG signals | - |
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