The Effectiveness Assessment of Massage Therapy Using Entropy-Based EEG Features Among Lumbar Disc Herniation Patients Comparing With Healthy Controls

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