🧬 SinoBioData Academic Portal
Official PDF TranslationChinese Journal of Tissue Engineering Research

Highly sensitive indicators of neck muscle fatigue derived from multimodal electrophysiological and metabolic coupling analysis

Authors: LIU Ya-kun; LU Guang-qi; LIANG Long; LI Jing; SUN Xin-yue; LIU Guang-wei; ZHOU Shuai-qi; MAO Han-ze; MA Ming-ming; HU Jia-ming; ZHU Li-guo; ZHUANG Ming-hui; YU Jie

DOI: 10.12307/2026.21527Status: Verified Translated Edition
Sponsored AdvertisementAd Placement Area
reCAPTCHA Bot Shield Active

Preparing Secure Academic Download

Verifying human reader & generating high-resolution document...

Verifying Document Integrity15s remaining
← Back to Article
Protected by Google reCAPTCHA v3.PrivacyTerms
Sponsored ContentAdSense In-Feed Ad Slot

Key Findings in This Report

• Multimodal monitoring combining sEMG, NIRS, and 3D motion capture reveals dynamic coupling of muscle activation, metabolism, and motor control during neck fatigue. • Mean power frequency and muscle oxygen saturation decline significantly during sustained forward head posture, with metabolic changes preceding electrophysiological alterations. • The upper trapezius muscle fatigues earlier than the middle trapezius, indicating differential susceptibility to load. • Combined mean power frequency and muscle oxygen saturation metrics offer high sensitivity for early detection of neck muscle fatigue.
Download Full PDF: Highly sensitive indicators of neck muscle fatigue derived from multimodal electrophysiological and metabolic coupling analysis | SinoBioData | SinoBioData