The effectiveness assessment of massage therapy using entropy-based EEG features among lumbar disc herniation patients comparing with healthy controls

Huihui Li, Wenjing Du, Kai Fan, Junsong Ma, Kamen Ivanov, Lei Wang

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

Abstract

Massage therapy (MT) is a useful complementary and alternative therapy widely used in treating low back pain (LBP), including lumbar disc herniation (LDH). However, few studies revealed the quantitative entropy-based features of electroencephalography (EEG) for the MT effectiveness for the LDH patients. This study investigated the immediate effects of Chinese massage on four EEG rhythms, using the eight entropy-based features (approximation entropy (ApEn), Sample Entropy (SampEn), wavelet entropy (WaveEn), Hilbert-Huang Transform Marginal spectrum entropy (HHTMSEn), normalized energy, permutation entropy (PE), Fuzzy entropy (FuzzyEn), and Inherent fuzzy entropy (IFE)) in the 26 LDH patients and 24 healthy controls. Results showed that after MT in LDH group, ApEn, SampEn, WaveEn, PE, FuzzyEn, and IFE features of the delta rhythm decreased, the normalized energy of delta rhythm significantly increased in the left hemisphere and theta/alpha rhythms significantly decreased. Furthermore, HHTMSEn feature of theta and beta rhythms showed the significant difference for two groups (LDH and control group) in two states (before and after massage). Ten classifiers were applied in classifying two groups or two states in one group, and most of them reached high averaged accuracies and the area under the curve (AUC), even with different length per epoch (1024, 512, and 256 points). It indicated that the entropy-based features and permutation disalignment index (PDI) of EEG rhythms could be promising indices of the massage effectiveness for LDH patients and control group. Rhythms' SampEn scalp topography in two groups showed the significant different complexity change between two states (before and after massage).

Original languageEnglish
Article number8950190
Pages (from-to)7758-7775
Number of pages18
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020
Externally publishedYes

Keywords

  • electroencephalograpy (EEG)
  • fuzzy entropy (FuzzyEn)
  • Hilbert-Huang transform marginal spectrum entropy (HHTMSEn)
  • inherent fuzzy entropy (IFE)
  • Lumbar disc herniation (LDH)
  • Massage therapy (MT)
  • permutation entropy (PE)
  • sample entropy (SampEn)
  • wavelet entropy (WaveEn)

ASJC Scopus subject areas

  • Computer Science (all)
  • Materials Science (all)
  • Engineering (all)

Fingerprint

Dive into the research topics of 'The effectiveness assessment of massage therapy using entropy-based EEG features among lumbar disc herniation patients comparing with healthy controls'. Together they form a unique fingerprint.

Cite this