The effect of musculoskeletal model scaling methods on ankle joint kinematics and muscle force prediction during gait for children with cerebral palsy and equinus gait
| Autor: | Yunru Ma, Shuyun Jiang, Yanxin Zhang, Yan Yu, Kumar Mithraratne, Nichola C. Wilson |
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| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Computer science Health Informatics Kinematics Cerebral palsy 03 medical and health sciences Gastrocnemius muscle 0302 clinical medicine Gait (human) Physical medicine and rehabilitation Tibialis anterior muscle medicine Humans Child Muscle Skeletal Joint (geology) Gait Cerebral Palsy medicine.disease Computer Science Applications Biomechanical Phenomena 030104 developmental biology medicine.anatomical_structure Gait analysis Ankle 030217 neurology & neurosurgery Ankle Joint |
| Zdroj: | Computers in biology and medicine. 134 |
| ISSN: | 1879-0534 |
| Popis: | Clinical gait analysis incorporated with neuromusculoskeletal modelling could provide valuable information about joint movements and muscle functions during ambulation for children with cerebral palsy (CP). This study investigated how imposing pre-calculated joint angles during musculoskeletal model scaling influence the ankle joint angle and muscle force computation. Ten children with CP and equinus gait underwent clinical gait analysis. For each participant, a “default” (scaled without pre-calculated joint angles) and a “PJA” (scaled with pre-calculated ankle joint angles) model were generated to simulate their gait. Ankle joint angles were calculated with an inverse kinematic (IK) and direct kinematic (DK) approach. Triceps surae and tibialis anterior muscle forces were predicted by static optimisation and EMG-assisted modelling. We found that PJA-derived ankle angles showed a better agreement with what derived from the DK approach. The tibialis anterior muscle prediction was more likely to be affected by the scaling methods for the static optimisation approach and the gastrocnemius muscle force prediction was more likely to be influenced for the EMG-assisted modelling. This study recommends using the PJA model since the good consistency between IK and DK-derived joint angles facilitates communication among different research disciplines. |
| Databáze: | OpenAIRE |
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