Available at: Ĭarda S et al (2009) Gait changes after tendon functional surgery for equinovarus foot in patients with stroke. Dev Med Child Neurol 42:32–41īrouwer B, Parvataneni K, Olney SJ (2009) A comparison of gait biomechanics and metabolic requirements of overground and treadmill walking in people with stroke. Gait Posture 33(1):6–13īoyd RN et al (2016) Biomechanical transformation of the gastroc – soleus muscle with botulinum toxin A in children with cerebral palsy. J Orthop Res 26(3):332–341īovi G et al (2011) A multiple-task gait analysis approach: kinematic, kinetic and EMG reference data for healthy young and adult subjects. Curr Opin Rheumatol 18(5):514–518Īstephen JL et al (2008) Biomechanical changes at the hip, knee, and ankle joints during gait are associated with knee osteoarthritis severity. Gait Posture 26(3):428–435Īndriacchi TP, Mündermann A (2006) The role of ambulatory mechanics in the initiation and progression of knee osteoarthritis. Conference, 7(August 2016), pp 7703–7706Īlvarez C et al (2007) Classification of idiopathic toe walking based on gait analysis: development and application of the ITW severity classification. IEEE Engineering in Medicine and Biology Society. Annual international conference of the IEEE engineering in medicine and biology society. J Pediatr Orthop 27(6):658–667Īiello E et al (2005) Visual EMG biofeedback to improve ankle function in hemiparetic gait. KeywordsĪdolfsen SE et al (2007) Kinematic and kinetic outcomes after identical multilevel soft tissue surgery in children with cerebral palsy. The chapter illustrates that the role of kinetics within clinical gait analysis deserves more attention, and potential applications should be further pursued. This section also illustrates the clinical usefulness of specific kinetic parameters in these patient populations, including their sensitivity to treatment and ability to predict treatment outcome. Next, typical deviations in lower limb kinetics are illustrated for several patient populations, including stroke, cerebral palsy, Duchenne muscular dystrophy, anterior cruciate ligament (ACL) injury, and osteoarthritis (OA), and for patients walking with prostheses or orthotics. After a brief introduction of normal kinetic patterns, the clinical interpretation of abnormal joint moments and powers is described. This chapter focuses on the role of joint moments and powers of the lower extremities in clinical gait analysis. As such, kinetic parameters are able to connect abnormal movement to underlying muscle malfunction and bony malalignment. While spatiotemporal, kinematic, and EMG parameters are commonly used to describe movement and muscle activity, kinetic measures are less often evaluated, even though they give insight into the moments and powers that drive human walking. It is not only used to diagnose walking disorders but also for treatment selection and evaluation. Gait analysis is becoming an increasingly important tool to provide a quantitative description of a patient’s gait deviations.
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