Dipartimento di Elettronica, Politecnico di Torino, Turin, Italy.
Gait Posture. 2010 Jul;32(3):285-9. doi: 10.1016/j.gaitpost.2010.06.024. Epub 2010 Aug 9.
Gait analysis is widely used in clinics to study walking abnormalities for surgery planning, definition of rehabilitation protocols, and objective evaluation of clinical outcomes. Surface electromyography allows the study of muscle activity non-invasively and the evaluation of the timing of muscle activation during movement. The aim of this study was to present a normative dataset of muscle activation patterns obtained from a large number of strides in a population of 100 healthy children aged 6-11 years. The activity of Tibialis Anterior, Lateral head of Gastrocnemius, Vastus Medialis, Rectus Femoris and Lateral Hamstrings on both lower limbs was analyzed during a 2.5-min walk at free speed. More than 120 consecutive strides were analyzed for each child, resulting in approximately 28,000 strides. Onset and offset instants were reported for each observed muscle. The analysis of a high number of strides for each participant allowed us to obtain the most recurrent patterns of activation during gait, demonstrating that a subject uses a specific muscle with different activation modalities even in the same walk. The knowledge of the various activation patterns and of their statistics will be of help in clinical gait analysis and will serve as reference in the design of future gait studies.
步态分析广泛应用于临床，用于研究手术规划中的行走异常、定义康复方案以及客观评估临床结果。表面肌电图可用于非侵入性地研究肌肉活动，并评估运动过程中肌肉激活的时机。本研究旨在介绍从 100 名 6-11 岁健康儿童的大量步行动作中获得的肌肉激活模式的正常数据集。在自由速度下行走 2.5 分钟时，分析了双侧下肢的胫骨前肌、腓肠外侧头、股四头肌内侧头、股直肌和外侧腿筋的活动。对每个孩子进行了超过 120 次连续的步行动作分析，共获得约 28,000 次步行动作。报告了每个观察到的肌肉的起始和结束瞬间。对每个参与者的大量步行动作进行分析，使我们能够获得在步态中最常见的激活模式，这表明即使在相同的行走中，个体也会使用特定的肌肉，并采用不同的激活方式。了解各种激活模式及其统计数据将有助于临床步态分析，并为未来的步态研究提供参考。
