Normative EMG activation patterns of school-age children during gait

• Published in: Gait & posture Vol. 32; no. 3; pp. 285 - 289
• Main Authors: Agostini, V, Nascimbeni, A, Gaffuri, A, Imazio, P, Benedetti, M.G, Knaflitz, M
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 01.07.2010
• Subjects: Age Factors; Anthropometry; Child; Children; Cohort Studies; Electromyography (EMG); Electromyography - methods; Female; Gait - physiology; Gait analysis; Humans; Italy; Lower Extremity - physiology; Male; Muscle activation patterns; Muscle Contraction - physiology; Muscle, Skeletal - physiology; Normative data; Orthopedics; Range of Motion, Articular - physiology; Reference Values; Sex Factors; Signal Processing, Computer-Assisted; Italy; Normative data; Children; Electromyography (EMG); Gait analysis; Muscle activation patterns
• ISSN: 0966-6362; 1879-2219
• DOI: 10.1016/j.gaitpost.2010.06.024

Abstract 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.