Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction
Functional electrical stimulation (FES) is important in gait rehabilitation for patients with dropfoot. Since there are time-varying velocities during FES-assisted walking, it is difficult to achieve a good movement performance during walking. To account for the time-varying walking velocities, seve...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2018-03-01
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| Series: | Frontiers in Neurology |
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| Online Access: | http://journal.frontiersin.org/article/10.3389/fneur.2018.00165/full |
| _version_ | 1811218459556577280 |
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| author | Guangtao Chen Zhihang Shen Yu Zhuang Xiaoyun Wang Rong Song |
| author_facet | Guangtao Chen Zhihang Shen Yu Zhuang Xiaoyun Wang Rong Song |
| author_sort | Guangtao Chen |
| collection | DOAJ |
| description | Functional electrical stimulation (FES) is important in gait rehabilitation for patients with dropfoot. Since there are time-varying velocities during FES-assisted walking, it is difficult to achieve a good movement performance during walking. To account for the time-varying walking velocities, seven poststroke subjects were recruited and fuzzy logic control and a linear model were applied in FES-assisted walking to enable intensity- and duration-adaptive stimulation (IDAS) for poststroke subjects with dropfoot. In this study, the performance of IDAS was evaluated using kinematic data, and was compared with the performance under no stimulation (NS), FES-assisted walking triggered by heel-off stimulation (HOS), and speed-adaptive stimulation. A larger maximum ankle dorsiflexion angle in the IDAS condition than those in other conditions was observed. The ankle plantar flexion angle in the IDAS condition was similar to that of normal walking. Improvement in the maximum ankle dorsiflexion and plantar flexion angles in the IDAS condition could be attributed to having the appropriate stimulation intensity and duration. In summary, the intensity- and duration-adaptive controller can attain better movement performance and may have great potential in future clinical applications. |
| first_indexed | 2024-04-12T07:10:17Z |
| format | Article |
| id | doaj.art-2d131d973d284f4e915f7de3dcb8c513 |
| institution | Directory Open Access Journal |
| issn | 1664-2295 |
| language | English |
| last_indexed | 2024-04-12T07:10:17Z |
| publishDate | 2018-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neurology |
| spelling | doaj.art-2d131d973d284f4e915f7de3dcb8c5132022-12-22T03:42:39ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-03-01910.3389/fneur.2018.00165351334Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot CorrectionGuangtao Chen0Zhihang Shen1Yu Zhuang2Xiaoyun Wang3Rong Song4Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-Sen University, Guangzhou, ChinaKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-Sen University, Guangzhou, ChinaKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-Sen University, Guangzhou, ChinaThe Guangdong Work Injury Rehabilitation Center, Guangzhou, ChinaKey Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Engineering, Sun Yat-Sen University, Guangzhou, ChinaFunctional electrical stimulation (FES) is important in gait rehabilitation for patients with dropfoot. Since there are time-varying velocities during FES-assisted walking, it is difficult to achieve a good movement performance during walking. To account for the time-varying walking velocities, seven poststroke subjects were recruited and fuzzy logic control and a linear model were applied in FES-assisted walking to enable intensity- and duration-adaptive stimulation (IDAS) for poststroke subjects with dropfoot. In this study, the performance of IDAS was evaluated using kinematic data, and was compared with the performance under no stimulation (NS), FES-assisted walking triggered by heel-off stimulation (HOS), and speed-adaptive stimulation. A larger maximum ankle dorsiflexion angle in the IDAS condition than those in other conditions was observed. The ankle plantar flexion angle in the IDAS condition was similar to that of normal walking. Improvement in the maximum ankle dorsiflexion and plantar flexion angles in the IDAS condition could be attributed to having the appropriate stimulation intensity and duration. In summary, the intensity- and duration-adaptive controller can attain better movement performance and may have great potential in future clinical applications.http://journal.frontiersin.org/article/10.3389/fneur.2018.00165/fullfuzzy logic controllinear modeldropfootfunctional electrical stimulationtreadmill |
| spellingShingle | Guangtao Chen Zhihang Shen Yu Zhuang Xiaoyun Wang Rong Song Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction Frontiers in Neurology fuzzy logic control linear model dropfoot functional electrical stimulation treadmill |
| title | Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction |
| title_full | Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction |
| title_fullStr | Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction |
| title_full_unstemmed | Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction |
| title_short | Intensity- and Duration-Adaptive Functional Electrical Stimulation Using Fuzzy Logic Control and a Linear Model for Dropfoot Correction |
| title_sort | intensity and duration adaptive functional electrical stimulation using fuzzy logic control and a linear model for dropfoot correction |
| topic | fuzzy logic control linear model dropfoot functional electrical stimulation treadmill |
| url | http://journal.frontiersin.org/article/10.3389/fneur.2018.00165/full |
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