The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements

Wenjing Du; Huihui Li; Omisore Olatunji Mumini; Wenmin Chen; Lei Wang

doi:10.1109/BSN.2018.8329652

The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements

Wenjing Du
, Huihui Li
, Omisore Olatunji Mumini
, Wenmin Chen
, Lei Wang^*

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Despite the important role played by muscle co-contraction in stabilizing and stiffening the spine during daily activities, the effects of multi-movement models on the lumbar co-contraction are yet to be explored. This study explores the co-contraction features of lumbar muscle in subjects with and without low back pain while they perform four different movements namely forward, backward, left flexion and right flexion lumbar actions. Surface electromyography (EMG) signals of three paired lumbar muscles were measured from a total number of 60 subjects while they performed specified movement models. Co-contraction ratio (CCR), defined as ratio of normalized integration of antagonist EMG activities to the total muscle activities, were accessed, and questionnaires about pain intensity were collected with visual analogue scale (VAS). The results showed that the CCR of LBP at forward (p = 0.007) and right flexion (p = 0.011) models was significantly greater than that of healthy controls, respectively. Also, CCR was significantly different among forward, backward, left flexion and right flexion models (p<0.05). Finally, co-contraction patterns from LBP subjects reveal disordered neuromuscular control in regulating the stiffness of lumbar spine.

Original language	English
Title of host publication	2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	34-37
Number of pages	4
ISBN (Electronic)	9781538611098
DOIs	https://doi.org/10.1109/BSN.2018.8329652
Publication status	Published - 2 Apr 2018
Externally published	Yes
Event	15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 - Las Vegas, United States Duration: 4 Mar 2018 → 7 Mar 2018

Publication series

Name	2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
Volume	2018-January

Conference

Conference	15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018
Country/Territory	United States
City	Las Vegas
Period	4/03/18 → 7/03/18

UN SDGs

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

SDG 3 Good Health and Well-being

Free Keywords

Co-contraction ratio
Low back pain
Lumbar spine
Multi-movement models
Surface electromyography

ASJC Scopus subject areas

Health Informatics
Instrumentation
Computer Networks and Communications
Human-Computer Interaction
Biomedical Engineering

Access to Document

10.1109/BSN.2018.8329652

Cite this

Du, W., Li, H., Mumini, O. O., Chen, W., & Wang, L. (2018). The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements. In 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 (pp. 34-37). (2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BSN.2018.8329652

Du, Wenjing ; Li, Huihui ; Mumini, Omisore Olatunji et al. / The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements. 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 34-37 (2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018).

@inproceedings{7f5add0661124296af9b6d90272fe43f,

title = "The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements",

abstract = "Despite the important role played by muscle co-contraction in stabilizing and stiffening the spine during daily activities, the effects of multi-movement models on the lumbar co-contraction are yet to be explored. This study explores the co-contraction features of lumbar muscle in subjects with and without low back pain while they perform four different movements namely forward, backward, left flexion and right flexion lumbar actions. Surface electromyography (EMG) signals of three paired lumbar muscles were measured from a total number of 60 subjects while they performed specified movement models. Co-contraction ratio (CCR), defined as ratio of normalized integration of antagonist EMG activities to the total muscle activities, were accessed, and questionnaires about pain intensity were collected with visual analogue scale (VAS). The results showed that the CCR of LBP at forward (p = 0.007) and right flexion (p = 0.011) models was significantly greater than that of healthy controls, respectively. Also, CCR was significantly different among forward, backward, left flexion and right flexion models (p<0.05). Finally, co-contraction patterns from LBP subjects reveal disordered neuromuscular control in regulating the stiffness of lumbar spine.",

keywords = "Co-contraction ratio, Low back pain, Lumbar spine, Multi-movement models, Surface electromyography",

author = "Wenjing Du and Huihui Li and Mumini, \{Omisore Olatunji\} and Wenmin Chen and Lei Wang",

note = "Funding Information: *This work was supported in part by the National Natural Science Foundation of China under grant \#61401454, \#71531004; the National 863 Program of China under grant \#2015AA043203; Shenzhen science and technology innovation of major projects under grant JSGG20160509142926253, and the foundation of Public technology service platform of biomedical electronics. Publisher Copyright: {\textcopyright} 2018 IEEE.; 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 ; Conference date: 04-03-2018 Through 07-03-2018",

year = "2018",

month = apr,

day = "2",

doi = "10.1109/BSN.2018.8329652",

language = "English",

series = "2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "34--37",

booktitle = "2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018",

address = "United States",

}

Du, W, Li, H, Mumini, OO, Chen, W & Wang, L 2018, The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements. in 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 34-37, 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018, Las Vegas, United States, 4/03/18. https://doi.org/10.1109/BSN.2018.8329652

The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements. / Du, Wenjing; Li, Huihui; Mumini, Omisore Olatunji et al.
2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 34-37 (2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018; Vol. 2018-January).

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

TY - GEN

T1 - The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements

AU - Du, Wenjing

AU - Li, Huihui

AU - Mumini, Omisore Olatunji

AU - Chen, Wenmin

AU - Wang, Lei

N1 - Funding Information: *This work was supported in part by the National Natural Science Foundation of China under grant #61401454, #71531004; the National 863 Program of China under grant #2015AA043203; Shenzhen science and technology innovation of major projects under grant JSGG20160509142926253, and the foundation of Public technology service platform of biomedical electronics. Publisher Copyright: © 2018 IEEE.

PY - 2018/4/2

Y1 - 2018/4/2

N2 - Despite the important role played by muscle co-contraction in stabilizing and stiffening the spine during daily activities, the effects of multi-movement models on the lumbar co-contraction are yet to be explored. This study explores the co-contraction features of lumbar muscle in subjects with and without low back pain while they perform four different movements namely forward, backward, left flexion and right flexion lumbar actions. Surface electromyography (EMG) signals of three paired lumbar muscles were measured from a total number of 60 subjects while they performed specified movement models. Co-contraction ratio (CCR), defined as ratio of normalized integration of antagonist EMG activities to the total muscle activities, were accessed, and questionnaires about pain intensity were collected with visual analogue scale (VAS). The results showed that the CCR of LBP at forward (p = 0.007) and right flexion (p = 0.011) models was significantly greater than that of healthy controls, respectively. Also, CCR was significantly different among forward, backward, left flexion and right flexion models (p<0.05). Finally, co-contraction patterns from LBP subjects reveal disordered neuromuscular control in regulating the stiffness of lumbar spine.

AB - Despite the important role played by muscle co-contraction in stabilizing and stiffening the spine during daily activities, the effects of multi-movement models on the lumbar co-contraction are yet to be explored. This study explores the co-contraction features of lumbar muscle in subjects with and without low back pain while they perform four different movements namely forward, backward, left flexion and right flexion lumbar actions. Surface electromyography (EMG) signals of three paired lumbar muscles were measured from a total number of 60 subjects while they performed specified movement models. Co-contraction ratio (CCR), defined as ratio of normalized integration of antagonist EMG activities to the total muscle activities, were accessed, and questionnaires about pain intensity were collected with visual analogue scale (VAS). The results showed that the CCR of LBP at forward (p = 0.007) and right flexion (p = 0.011) models was significantly greater than that of healthy controls, respectively. Also, CCR was significantly different among forward, backward, left flexion and right flexion models (p<0.05). Finally, co-contraction patterns from LBP subjects reveal disordered neuromuscular control in regulating the stiffness of lumbar spine.

KW - Co-contraction ratio

KW - Low back pain

KW - Lumbar spine

KW - Multi-movement models

KW - Surface electromyography

UR - https://www.scopus.com/pages/publications/85049687515

U2 - 10.1109/BSN.2018.8329652

DO - 10.1109/BSN.2018.8329652

M3 - Conference contribution

AN - SCOPUS:85049687515

T3 - 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018

SP - 34

EP - 37

BT - 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018

Y2 - 4 March 2018 through 7 March 2018

ER -

Du W, Li H, Mumini OO, Chen W, Wang L. The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements. In 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 34-37. (2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018). doi: 10.1109/BSN.2018.8329652

The co-contraction features of the lumbar muscle in patients with and without low back pain during multi-movements

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this