Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task

Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question....

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Main Authors: Yasuhiro Kato, Toshiaki Tsuji, Imre Cikajlo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
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Online Access:https://ieeexplore.ieee.org/document/10423822/
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author Yasuhiro Kato
Toshiaki Tsuji
Imre Cikajlo
author_facet Yasuhiro Kato
Toshiaki Tsuji
Imre Cikajlo
author_sort Yasuhiro Kato
collection DOAJ
description Haptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed <inline-formula><tex-math notation="LaTeX">$0.7\,\pm {\,1.4}$</tex-math></inline-formula> s (<inline-formula><tex-math notation="LaTeX">$p\,&lt; .05$</tex-math></inline-formula>) shorter movement time and <inline-formula><tex-math notation="LaTeX">$0.01\,\pm {\,0.08}$</tex-math></inline-formula> m/s (<inline-formula><tex-math notation="LaTeX">$p\,&lt; .05$</tex-math></inline-formula>) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.
format Article
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institution Kabale University
issn 2644-1276
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of Engineering in Medicine and Biology
spelling doaj-art-ddb284027ba343cd844c3083618a851b2025-01-30T00:03:40ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762024-01-01517317910.1109/OJEMB.2024.336313710423822Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching TaskYasuhiro Kato0https://orcid.org/0000-0001-8343-5314Toshiaki Tsuji1https://orcid.org/0000-0002-4532-4514Imre Cikajlo2https://orcid.org/0000-0002-8428-7621Graduate School of Science and Engineering, Saitama University, Sakura-ku, JapanGraduate School of Science and Engineering, Saitama University, Sakura-ku, JapanUniversity Rehabilitation Institute Republic of Slovenia, Ljubljana, SloveniaHaptic interfaces and virtual reality (VR) technology have been increasingly introduced in rehabilitation, facilitating the provision of various feedback and task conditions. However, correspondence between the feedback/task conditions and movement strategy during reaching tasks remains a question. To investigate movement strategy, we assessed velocity parameters and peak latency of electromyography. Ten neuromuscularly intact volunteers participated in the measurement using haptic interface and VR. Concurrent visual feedback and various terminal feedback (e.g., visual, haptic, visual and haptic) were given. Additionally, the object size for the reaching task was changed. The results demonstrated terminal haptic feedback had a significant impact on kinematic parameters; showed <inline-formula><tex-math notation="LaTeX">$0.7\,\pm {\,1.4}$</tex-math></inline-formula> s (<inline-formula><tex-math notation="LaTeX">$p\,&lt; .05$</tex-math></inline-formula>) shorter movement time and <inline-formula><tex-math notation="LaTeX">$0.01\,\pm {\,0.08}$</tex-math></inline-formula> m/s (<inline-formula><tex-math notation="LaTeX">$p\,&lt; .05$</tex-math></inline-formula>) higher mean velocity compared to no terminal feedback. Also, smaller peak latency was observed in different muscle regions based on the object size.https://ieeexplore.ieee.org/document/10423822/Movement strategymultimodal feedbacksEMG analysis
spellingShingle Yasuhiro Kato
Toshiaki Tsuji
Imre Cikajlo
Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
IEEE Open Journal of Engineering in Medicine and Biology
Movement strategy
multimodal feedback
sEMG analysis
title Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
title_full Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
title_fullStr Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
title_full_unstemmed Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
title_short Feedback Type May Change the EMG Pattern and Kinematics During Robot Supported Upper Limb Reaching Task
title_sort feedback type may change the emg pattern and kinematics during robot supported upper limb reaching task
topic Movement strategy
multimodal feedback
sEMG analysis
url https://ieeexplore.ieee.org/document/10423822/
work_keys_str_mv AT yasuhirokato feedbacktypemaychangetheemgpatternandkinematicsduringrobotsupportedupperlimbreachingtask
AT toshiakitsuji feedbacktypemaychangetheemgpatternandkinematicsduringrobotsupportedupperlimbreachingtask
AT imrecikajlo feedbacktypemaychangetheemgpatternandkinematicsduringrobotsupportedupperlimbreachingtask