Recognizing the feature of knee hyperextension in stroke patients based on transformer–long–short-term memory model

The transformer-LSTM provides superior recognition rates (83.38%) and offers a robust solution for screening knee hyperextension in stroke patients, highlighting its potential for clinical application.

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Publication Details

Journal
BioMedical Engineering OnLine
Published
2026-01-23
DOI
https://doi.org/10.1186/s12938-026-01513-w
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognizing the feature of knee hyperextension in stroke patients based on transformer–long–short-term memory model

X Chen, Aoli Shen, Yifang Wang, Qing Xia et al.
BioMedical Engineering OnLine
Muscle activation and electromyography studies
article

Recognizing the feature of knee hyperextension in stroke patients based on transformer–long–short-term memory model

X Chen, Aoli Shen, Yifang Wang, Qing Xia, Hanlin Xu
article en

Abstract

The transformer-LSTM provides superior recognition rates (83.38%) and offers a robust solution for screening knee hyperextension in stroke patients, highlighting its potential for clinical application.

BioMedical Engineering OnLineVol. 25(1)
Tongji University (CN), Shanghai Sunshine Rehabilitation Center (CN), Fujian University of Technology (CN)
Openalex Percentile: Top 80%
Muscle activation and electromyography studies
DOIOpen Access PDFOpenAlex
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