Meijin Hou , Jian He , Dongwei Liu , Chenyi Guo , Ye Ma
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Lower limb joint reaction forces during sit-to-stand and stand-to-sit movements in stroke patients with spastic hemiplegia
Objective:
We investigated the characteristics of hip, knee, and ankle joint reaction forces (JRFs) in stroke patients with spastic hemiplegia during sit-to-stand (Si-St) and stand-to-sit (St-Si) movements and explored the relationship between JRFs and joint moments.
Methods:
Thirteen stroke patients with spastic hemiplegia and thirteen age-matched healthy subjects were recruited in this study. Three-dimensional motion capture system and force plates were employed to collect kinematic data and ground reaction forces during Si-St and St-Si tasks. Musculoskeletal modeling was used to calculate JRFs and joint moments of the hip, knee and ankle joints during these movements.
Results:
Those stroke patients exhibited higher JRFs (ranging from 13.49 N/kg to 43.18 N/kg) compared to the healthy group (ranging from 15.81 N/kg to 23.00 N/kg) in hip and knee joints. Furthermore, hip and ankle JRFs exhibited positive correlations with their joint moment in stroke patients during Si-St and St-Si movements.
Conclusion:
Early rehabilitation strategies should focus on correcting weight distribution and enhancing symmetry in joint loading. Interventions focused on reducing joint moment, particularly for hip and ankle joints, may prove effective in mitigating lower extremity JRFs in stroke patients with spastic hemiplegia during Si-St and St-Si movements.
期刊介绍:
Journal of Electromyography & Kinesiology is the primary source for outstanding original articles on the study of human movement from muscle contraction via its motor units and sensory system to integrated motion through mechanical and electrical detection techniques.
As the official publication of the International Society of Electrophysiology and Kinesiology, the journal is dedicated to publishing the best work in all areas of electromyography and kinesiology, including: control of movement, muscle fatigue, muscle and nerve properties, joint biomechanics and electrical stimulation. Applications in rehabilitation, sports & exercise, motion analysis, ergonomics, alternative & complimentary medicine, measures of human performance and technical articles on electromyographic signal processing are welcome.