单侧前交叉韧带重建患者双侧下肢肌肉协同模式数据集
简介
本研究纳入17例单侧前交叉韧带（ACL）重建术后6个月的运动员（男9例，女8例；训练经验>4年；国家一级或二级运动员），采用横断面设计，在稳定步态测试中采集双侧下肢8块关键肌肉的表面肌电信号，通过非负矩阵分解提取肌肉协同结构。数据集完整记录了：（1）受试者基本信息；（2）K-STARTS功能测试结果；（3）步态力学参数（步速、质心内外侧位移速度、压力中心内外…
英文摘要
This data descriptor presents a bilateral lower limb muscle synergy dataset from 17 unilateral anterior cruciate ligament reconstruction athletes (9 men, 8 women; training experience > 4 years; national level one or two athletes) at 6 months post-surgery during stable gait testing. A cross-sectional study design was adopted. Surface electromyography signals from eight key muscles of both lower limbs were processed using non-negative matrix factorization to extract muscle synergy structures. The dataset comprehensively documents: (1) basic participant information; (2) K-STARTS functional test results; (3) gait mechanics parameters (gait speed, center of mass mediolateral displacement velocity, and center of pressure mediolateral displacement velocity); and (4) core muscle synergy indicators, including synergy weight matrix (W), activation coefficient matrix (H), number of synergies, muscle contribution weights, time to peak activation, activation level of synergy, proportion of significant activation duration, overall synergy activation level, and co-activation duration. This dataset provides systematic, reproducible, and standardized data support for analyzing bilateral lower limb neuromuscular control differences following anterior cruciate ligament reconstruction, and can be directly applied to symmetry analysis, functional assessment, and individualized rehabilitation research.