Exploring Back Muscle Activities in Chronic Low Back Pain Patients Using a Large‐Area Stretchable Electrode Array With Full‐Back Coverage
Year: 2026
Type: article
Study design: Observational Study
Abstract: Exploring the back muscle activity in chronic low back pain (CLBP) patients is crucial for the quantitative assessment of their neuromuscular function. However, hindered by the lack of stretchable, large-area electrode arrays capable of spanning the entire back, existing studies have primarily focused on the erector spinae and multifidus muscles in the lower back. Here, we report a large-area, stretchable high-density surface electromyography (HD-sEMG) electrode array designed to cover both lower and upper back regions, enabling comprehensive characterization of back muscle activity in CLBP patients. The array comprises 64 channels arranged in a half-dumbbell configuration, inspired by the anatomical distribution of the erector spinae and multifidus muscles. Notably, this array demonstrates unprecedented operability, scalability for mass production, and reliable data acquisition capabilities. 128-channel HD-sEMG signals were acquired from both healthy controls and CLBP patients during the Biering-Sørensen test, a standardized lumbar endurance protocol. Statistical analyses of sEMG-derived metrics and topographic maps revealed significant intergroup differences in muscle activity, as well as regional variations between the lower back, upper back, and full-back segments, particularly in contraction time and fatigue-related metric changes. These findings offer novel insights into the neuromuscular dysfunction in CLBP, potentially illuminating the underlying physiological adaptations associated with CLBP.
Source: Advanced Healthcare Materials
Authors: Chongyuan Huang, Jingyuan Bai, Kai Lin, Xia Li, Dazhi Guo, Jizhou Song, Jian Wang, Zuobing Chen, Chengjun Wang
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Awards: G2355765545, G3052781, G4287885158, G4552306341
OpenAlex ID: W7125423457
