The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation

Huihui Li; Wenjing Du; Kamen Ivanov; Yuchao Yang; Yang Zhan; Lei Wang

doi:10.1109/EMBC.2019.8857620

The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation

Huihui Li
, Wenjing Du
, Kamen Ivanov
, Yuchao Yang
, Yang Zhan
, Lei Wang

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

The purpose of this study was to investigate surface EEG of two groups (lumbar disc herniation (LDH) patients and healthy controls (HC)) when they performed real smooth movements (left/right lateral bending) with the maximum voluntary movement without pain. Thirty female LDH patients and thirty healthy controls volunteered to participate in the experiment. We also tested a healthy participant's motion imaginery (MI) of left/right lateral bending movement for over 200 times. We used Daubechies 4 (db4) wavelet to decompose EEG signal and we extracted δ, θ, α and β rhythms of the EEG signal. Wavelet entropy and sample entropy (SampEn) of four frequency bands were calculated. The results showed that there was significant difference of wavelet entropy EEG in T7, O2, and AF4 channels between the LDH and the healthy group when they did real left lateral bending. The topographic map also showed that SampEn value of four rhythms of the MI right lateral bending were significantly less than the values of the MI left lateral motion in healthy participant. Classification and Regression Trees (CART), Logistic regression (LR), Support Vector Machine (SVM), K-nearest neighbors (KNN), and the Linear discrimination analysis (LDA) classifiers showed averaged accuracies more than 96% for MI of left/right lateral bending.

Original language	English
Title of host publication	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4707-4711
Number of pages	5
ISBN (Electronic)	9781538613115
DOIs	https://doi.org/10.1109/EMBC.2019.8857620
Publication status	Published - Jul 2019
Externally published	Yes
Event	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Country/Territory	Germany
City	Berlin
Period	23/07/19 → 27/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/EMBC.2019.8857620

Cite this

Li, H., Du, W., Ivanov, K., Yang, Y., Zhan, Y., & Wang, L. (2019). The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 4707-4711). Article 8857620 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2019.8857620

Li, Huihui ; Du, Wenjing ; Ivanov, Kamen et al. / The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 4707-4711 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{882bb4a7482b4623812ff6dc0da09061,

title = "The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation",

abstract = "The purpose of this study was to investigate surface EEG of two groups (lumbar disc herniation (LDH) patients and healthy controls (HC)) when they performed real smooth movements (left/right lateral bending) with the maximum voluntary movement without pain. Thirty female LDH patients and thirty healthy controls volunteered to participate in the experiment. We also tested a healthy participant's motion imaginery (MI) of left/right lateral bending movement for over 200 times. We used Daubechies 4 (db4) wavelet to decompose EEG signal and we extracted δ, θ, α and β rhythms of the EEG signal. Wavelet entropy and sample entropy (SampEn) of four frequency bands were calculated. The results showed that there was significant difference of wavelet entropy EEG in T7, O2, and AF4 channels between the LDH and the healthy group when they did real left lateral bending. The topographic map also showed that SampEn value of four rhythms of the MI right lateral bending were significantly less than the values of the MI left lateral motion in healthy participant. Classification and Regression Trees (CART), Logistic regression (LR), Support Vector Machine (SVM), K-nearest neighbors (KNN), and the Linear discrimination analysis (LDA) classifiers showed averaged accuracies more than 96\% for MI of left/right lateral bending.",

author = "Huihui Li and Wenjing Du and Kamen Ivanov and Yuchao Yang and Yang Zhan and Lei Wang",

note = "Funding Information: This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61401454, 71532014 and U1505251), the Key Research Program of the Chinese Academy of Sciences (KFZO-SW-202). Publisher Copyright: {\textcopyright} 2019 IEEE.; 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

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doi = "10.1109/EMBC.2019.8857620",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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Li, H, Du, W, Ivanov, K, Yang, Y, Zhan, Y & Wang, L 2019, The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8857620, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 4707-4711, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/19. https://doi.org/10.1109/EMBC.2019.8857620

The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation. / Li, Huihui; Du, Wenjing; Ivanov, Kamen et al.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 4707-4711 8857620 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation

AU - Li, Huihui

AU - Du, Wenjing

AU - Ivanov, Kamen

AU - Yang, Yuchao

AU - Zhan, Yang

AU - Wang, Lei

N1 - Funding Information: This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61401454, 71532014 and U1505251), the Key Research Program of the Chinese Academy of Sciences (KFZO-SW-202). Publisher Copyright: © 2019 IEEE.

PY - 2019/7

Y1 - 2019/7

N2 - The purpose of this study was to investigate surface EEG of two groups (lumbar disc herniation (LDH) patients and healthy controls (HC)) when they performed real smooth movements (left/right lateral bending) with the maximum voluntary movement without pain. Thirty female LDH patients and thirty healthy controls volunteered to participate in the experiment. We also tested a healthy participant's motion imaginery (MI) of left/right lateral bending movement for over 200 times. We used Daubechies 4 (db4) wavelet to decompose EEG signal and we extracted δ, θ, α and β rhythms of the EEG signal. Wavelet entropy and sample entropy (SampEn) of four frequency bands were calculated. The results showed that there was significant difference of wavelet entropy EEG in T7, O2, and AF4 channels between the LDH and the healthy group when they did real left lateral bending. The topographic map also showed that SampEn value of four rhythms of the MI right lateral bending were significantly less than the values of the MI left lateral motion in healthy participant. Classification and Regression Trees (CART), Logistic regression (LR), Support Vector Machine (SVM), K-nearest neighbors (KNN), and the Linear discrimination analysis (LDA) classifiers showed averaged accuracies more than 96% for MI of left/right lateral bending.

AB - The purpose of this study was to investigate surface EEG of two groups (lumbar disc herniation (LDH) patients and healthy controls (HC)) when they performed real smooth movements (left/right lateral bending) with the maximum voluntary movement without pain. Thirty female LDH patients and thirty healthy controls volunteered to participate in the experiment. We also tested a healthy participant's motion imaginery (MI) of left/right lateral bending movement for over 200 times. We used Daubechies 4 (db4) wavelet to decompose EEG signal and we extracted δ, θ, α and β rhythms of the EEG signal. Wavelet entropy and sample entropy (SampEn) of four frequency bands were calculated. The results showed that there was significant difference of wavelet entropy EEG in T7, O2, and AF4 channels between the LDH and the healthy group when they did real left lateral bending. The topographic map also showed that SampEn value of four rhythms of the MI right lateral bending were significantly less than the values of the MI left lateral motion in healthy participant. Classification and Regression Trees (CART), Logistic regression (LR), Support Vector Machine (SVM), K-nearest neighbors (KNN), and the Linear discrimination analysis (LDA) classifiers showed averaged accuracies more than 96% for MI of left/right lateral bending.

UR - https://www.scopus.com/pages/publications/85077883560

U2 - 10.1109/EMBC.2019.8857620

DO - 10.1109/EMBC.2019.8857620

M3 - Conference contribution

C2 - 31946913

AN - SCOPUS:85077883560

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 4707

EP - 4711

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

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ER -

Li H, Du W, Ivanov K, Yang Y, Zhan Y, Wang L. The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 4707-4711. 8857620. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2019.8857620

The EEG Analysis of Actual Left/Right Lateral Bending Movements in Patient of Lumbar Disc Herniation

Abstract

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Conference

UN SDGs

ASJC Scopus subject areas

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