Quantitative Evaluation for Different Level of Pain in Patients with Low Back Pain compared with Healthy Control

Huihui Li, Fei Peng, Wenjing Du, Lei Wang

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Low back pain (LBP) was routinely subjectively assessed by Visual Analogue Scale (VAS) and Oswestry Disability Index (ODI) in clinical practice. However, the results of the assessment depend on the patients' subjective feeling. The aim of this study was to explore the quantitative parameters correlated to pain of the lumbar disc herniation (LDH) and nonspecific LBP (NLBP) subjects distinction with healthy control group (HG) during dynamic exercises using inertial sensor. Participants were asked to perform twelve maximum voluntary spine motions (forward bending (FB), backward bending (BB), left and right lateral bending (LLB and RLB), left- and right-axial rotation (LR and RR)) in standing position, and the corresponding motions (SFB/SBB/SLLB/SRLB/SLR/SRR) in sitting position without pain. Mean maximum angle, angular velocity and angle velocity of variation (ZL) were calculated. Results showed that there was high negative correlation between mean of maximum spine angle for subjects at each sublevel and VAS pain level/ODI score during eight movements (LR/RR/LLB/RLB/SLR/SRR/SLLB/SRLB). In addition, there was moderate correlation between the peak angular velocity/ ZL and VAS pain level for FB movement. There was a significant difference of maximum spine angle and angular velocity among three groups during LR/RR motions in sitting and standing position. These results indicate that the mean maximum angle and angular velocity of spine motions can provide a quantitative assessment during the rehabilitation progress of LBP patients and serve as supplementary method to distinct with LDH and healthy subjects in clinical practice.

Original languageEnglish
Title of host publication2018 14th IEEE International Conference on Signal Processing Proceedings, ICSP 2018
EditorsYuan Baozong, Ruan Qiuqi, Zhao Yao, An Gaoyun
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages944-949
Number of pages6
ISBN (Electronic)9781538646724
DOIs
Publication statusPublished - 2 Feb 2019
Externally publishedYes
Event14th IEEE International Conference on Signal Processing, ICSP 2018 - Beijing, China
Duration: 12 Aug 201816 Aug 2018

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2018-August

Conference

Conference14th IEEE International Conference on Signal Processing, ICSP 2018
Country/TerritoryChina
CityBeijing
Period12/08/1816/08/18

Keywords

  • Inertial sensors
  • Low back pain
  • Oswestry Disability Index
  • Peak angular velocity
  • VAS pain level

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Computer Science Applications

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