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Smartphone-based motion capture for gait quantification and symmetry analysis in moderate-stage stroke patients.

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Title: Smartphone-based motion capture for gait quantification and symmetry analysis in moderate-stage stroke patients.
Authors: Zeng Y; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China; Department of Rehabilitation Medicine, Shenzhen University General Hospital, Shenzhen 518055, China., Peng Y; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China., Xie L; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China., Liu L; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China., Fang P; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China., Huang H; Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China., Chen S; Department of Rehabilitation Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510080, China., Qiu X; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China., Wei X; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China. Electronic address: weixj2016@smu.edu.cn., Li H; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China; Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. Electronic address: lihai2018@smu.edu.cn.
Source: Gait & posture [Gait Posture] 2026 Jul; Vol. 128, pp. 110192. Date of Electronic Publication: 2026 Apr 16.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Sciencem Country of Publication: England NLM ID: 9416830 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2219 (Electronic) Linking ISSN: 09666362 NLM ISO Abbreviation: Gait Posture Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Smartphone-based motion capture for gait quantification and symmetry analysis in moderate-stage stroke patients.
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  Data: <searchLink fieldCode="AU" term="%22Zeng+Y%22">Zeng Y</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China; Department of Rehabilitation Medicine, Shenzhen University General Hospital, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Peng+Y%22">Peng Y</searchLink>; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Xie+L%22">Xie L</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China.<br /><searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China.<br /><searchLink fieldCode="AU" term="%22Fang+P%22">Fang P</searchLink>; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.<br /><searchLink fieldCode="AU" term="%22Huang+H%22">Huang H</searchLink>; Department of Rehabilitation Medicine, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China.<br /><searchLink fieldCode="AU" term="%22Chen+S%22">Chen S</searchLink>; Department of Rehabilitation Medicine, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou 510080, China.<br /><searchLink fieldCode="AU" term="%22Qiu+X%22">Qiu X</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China.<br /><searchLink fieldCode="AU" term="%22Wei+X%22">Wei X</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China. Electronic address: weixj2016@smu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Li+H%22">Li H</searchLink>; Department of Rehabilitation Medicine, Shenzhen Hospital, Southern Medical University, Shenzhen 518101, China; Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. Electronic address: lihai2018@smu.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%229416830%22">Gait & posture</searchLink> [Gait Posture] 2026 Jul; Vol. 128, pp. 110192. <i>Date of Electronic Publication: </i>2026 Apr 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Sciencem%22">Elsevier Sciencem </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9416830 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-2219 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209666362%22">09666362 </searchLink><i>NLM ISO Abbreviation: </i>Gait Posture <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.gaitpost.2026.110192
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      – Code: eng
        Text: English
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      – TitleFull: Smartphone-based motion capture for gait quantification and symmetry analysis in moderate-stage stroke patients.
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            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
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