PNF模式训练对全膝关节置换术患者行走能力的影响

Q4 Biochemistry, Genetics and Molecular Biology International Journal of Biology and Biomedical Engineering Pub Date : 2021-07-13 DOI:10.37394/23203.2021.16.33
Jin Park
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引用次数: 0

摘要

本研究的目的是验证本体感觉神经肌肉促进模式对全膝关节置换术患者行走能力的改善效果。本研究从康复医院招募10例全膝关节置换术患者。将患者分为两组:PNF组(n=5)和对照组(n=5)。PNF组接受连续被动运动(CPM) 30分钟,PNF训练15分钟,每周5次,持续2周。对照组接受30分钟的CPM和15分钟的强化运动,每周5次,持续两周。采用Biodex步态训练器2进行时空参数测量。训练结束后,PNF组在非手术侧行走速度、步长、手术侧每只脚行走时间上均有显著改善(p<0.05)。本研究结果表明,PNF模式训练在提高行走能力方面更有效。因此,提高全膝关节置换术患者的行走能力,应考虑PNF低模式。
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The Effects of PNF Pattern Training on the Walking Ability of Total Knee Replacement Patients
The purpose of this study was to verify the effectiveness of proprioceptive neuromuscular facilitation pattern to improve walking ability of total knee replacement patients. In this study, 10 patients with total knee replacement were recruited from rehabilitation hospital. They were divided into two groups: a PNF group (n=5) and a control group (n=5). The PNF group received 30 minutes of continuous passive motion (CPM) and PNF training for 15 minutes five times a week for two weeks. The control group received 30 minutes of CPM and strengthening exercise for 15minutes five times a week for two weeks. Spatiotemporal parameters were measured by Biodex gait trainer 2. After the training periods, the PNF group showed a significant improvement in walking speed and step length on the non-operated side, time on each foot on the operated side (p<0.05). The results of this study showed that PNF pattern training was more effective at improving walking ability. Therefore, improve the walking ability of total knee replacement patients, PNF lower pattern should be considered.
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来源期刊
International Journal of Biology and Biomedical Engineering
International Journal of Biology and Biomedical Engineering Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
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期刊介绍: Topics: Molecular Dynamics, Biochemistry, Biophysics, Quantum Chemistry, Molecular Biology, Cell Biology, Immunology, Neurophysiology, Genetics, Population Dynamics, Dynamics of Diseases, Bioecology, Epidemiology, Social Dynamics, PhotoBiology, PhotoChemistry, Plant Biology, Microbiology, Immunology, Bioinformatics, Signal Transduction, Environmental Systems, Psychological and Cognitive Systems, Pattern Formation, Evolution, Game Theory and Adaptive Dynamics, Bioengineering, Biotechnolgies, Medical Imaging, Medical Signal Processing, Feedback Control in Biology and Chemistry, Fluid Mechanics and Applications in Biomedicine, Space Medicine and Biology, Nuclear Biology and Medicine.
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