Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain

Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain

Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the impact of massage on the Electroencephalograph (EEG) rhythm decoding of Motor i...

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Autores principales: Huihui Li, Kai Fan, Junsong Ma, Bo Wang, Xiaohao Qiao, Yan Yan, Wenjing Du, Lei Wang
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Motor imagery (MI)
motion execution (ME)
electroencephalograph (EEG)
classification
convolutional neural networks (CNN)
attention-based bi-directional long short-term memory (BiLSTM)
Computer applications to medicine. Medical informatics
R858-859.7
Medical technology
R855-855.5
Acceso en línea:https://doaj.org/article/73b19cae11354b3b8a3ff05cafd77dae
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spelling oai:doaj.org-article:73b19cae11354b3b8a3ff05cafd77dae2021-11-19T00:00:29ZMassage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain2168-237210.1109/JTEHM.2021.3056911https://doaj.org/article/73b19cae11354b3b8a3ff05cafd77dae2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9345745/https://doaj.org/toc/2168-2372Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the impact of massage on the Electroencephalograph (EEG) rhythm decoding of Motor imagery (MI) and motion execution (ME) with trunk left/right bending in patients with skeletal muscle pain. Method: We used the sample entropy (SampEn), permutation entropy (PermuEn), common spatial pattern (CSP) features, support vector machine (SVM) and logic regression (LR) classifiers. We also used the convolutional neural network (CNN) and attention-based bi-directional long short-term memory (BiLSTM) for classification. Results: The averaged SampEn and PermuEn values of alpha rhythm decreased in almost fourteen channels for five statuses (quiet, MI with left/right bending, ME with left/right bending). It indicated that massage alleviates the pain for the patients of skeletal pain. Furthermore, compared with the SVM and LR classifiers, the BiLSTM method achieved a better area under curve (AUC) of 0.89 for the classification of MI with trunk left/right bending before massage. The AUC became smaller after massage than that before massage for the classification of MI with trunk left/right bending using CNN and BiLSTM methods. The Permutation direct indicator (PDI) score showed the significant difference for patients in different statuses (before vs after massage, and MI vs ME). Conclusions: Massage not only affects the quiet status, but also affects the MI and ME. Clinical Impact: Massage therapy may affect a bit on the accuracy of MI with trunk left/right bending and it change the topography of MI and ME with trunk left/right bending for the patients with skeletal muscle pain.Huihui LiKai FanJunsong MaBo WangXiaohao QiaoYan YanWenjing DuLei WangIEEEarticleMotor imagery (MI)motion execution (ME)electroencephalograph (EEG)classificationconvolutional neural networks (CNN)attention-based bi-directional long short-term memory (BiLSTM)Computer applications to medicine. Medical informaticsR858-859.7Medical technologyR855-855.5ENIEEE Journal of Translational Engineering in Health and Medicine, Vol 9, Pp 1-20 (2021)
institution DOAJ
collection DOAJ
language EN
topic Motor imagery (MI)
motion execution (ME)
electroencephalograph (EEG)
classification
convolutional neural networks (CNN)
attention-based bi-directional long short-term memory (BiLSTM)
Computer applications to medicine. Medical informatics
R858-859.7
Medical technology
R855-855.5
spellingShingle Motor imagery (MI)
motion execution (ME)
electroencephalograph (EEG)
classification
convolutional neural networks (CNN)
attention-based bi-directional long short-term memory (BiLSTM)
Computer applications to medicine. Medical informatics
R858-859.7
Medical technology
R855-855.5
Huihui Li
Kai Fan
Junsong Ma
Bo Wang
Xiaohao Qiao
Yan Yan
Wenjing Du
Lei Wang
Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
description Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the impact of massage on the Electroencephalograph (EEG) rhythm decoding of Motor imagery (MI) and motion execution (ME) with trunk left/right bending in patients with skeletal muscle pain. Method: We used the sample entropy (SampEn), permutation entropy (PermuEn), common spatial pattern (CSP) features, support vector machine (SVM) and logic regression (LR) classifiers. We also used the convolutional neural network (CNN) and attention-based bi-directional long short-term memory (BiLSTM) for classification. Results: The averaged SampEn and PermuEn values of alpha rhythm decreased in almost fourteen channels for five statuses (quiet, MI with left/right bending, ME with left/right bending). It indicated that massage alleviates the pain for the patients of skeletal pain. Furthermore, compared with the SVM and LR classifiers, the BiLSTM method achieved a better area under curve (AUC) of 0.89 for the classification of MI with trunk left/right bending before massage. The AUC became smaller after massage than that before massage for the classification of MI with trunk left/right bending using CNN and BiLSTM methods. The Permutation direct indicator (PDI) score showed the significant difference for patients in different statuses (before vs after massage, and MI vs ME). Conclusions: Massage not only affects the quiet status, but also affects the MI and ME. Clinical Impact: Massage therapy may affect a bit on the accuracy of MI with trunk left/right bending and it change the topography of MI and ME with trunk left/right bending for the patients with skeletal muscle pain.
format article
author Huihui Li
Kai Fan
Junsong Ma
Bo Wang
Xiaohao Qiao
Yan Yan
Wenjing Du
Lei Wang
author_facet Huihui Li
Kai Fan
Junsong Ma
Bo Wang
Xiaohao Qiao
Yan Yan
Wenjing Du
Lei Wang
author_sort Huihui Li
title Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
title_short Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
title_full Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
title_fullStr Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
title_full_unstemmed Massage Therapy’s Effectiveness on the Decoding EEG Rhythms of Left/Right Motor Imagery and Motion Execution in Patients With Skeletal Muscle Pain
title_sort massage therapy’s effectiveness on the decoding eeg rhythms of left/right motor imagery and motion execution in patients with skeletal muscle pain
publisher IEEE
publishDate 2021
url https://doaj.org/article/73b19cae11354b3b8a3ff05cafd77dae
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