脑卒中偏瘫患者步态事件特征及患侧下肢肌肉激活参数的初步研究

Jeong-Woo Seo PhD , Geon‐hui Kang MS , Cheol-hyun Kim PhD , Jeeyoun Jung PhD , Junggil Kim BS , Hyeon Kang MS , Sangkwan Lee KMD, PhD
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引用次数: 0

摘要

研究目的确认偏瘫患者患侧和非患侧下肢的步态事件和肌肉活动的特征。研究方法不适用。主要结果测量使用 Delsys Trigno Avanti EMG 无线系统进行 BTS 运动捕捉,测定患侧和非患侧下肢的步态事件参数以及时域和频域肌电图(EMG)参数。利用逻辑回归模型,选择摆动阶段、单一支撑阶段和腓肠肌频率中位数对患侧进行分类。与步态-事件参数不同,脑卒中偏瘫患者的肌电图数据难以推广。其中,一些患侧参数的逻辑回归模型预期设置为患侧的严重程度和改善基线。要改进分类模型,需要收集更多的数据并对肌肉活动进行归纳。
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Characteristics of Gait Event and Muscle Activation Parameters of the Lower Limb on the Affected Side in Patients With Hemiplegia After Stroke: A Pilot Study

Objectives

To confirm the characteristics of gait events and muscle activity in the lower limbs of the affected and unaffected sides in patients with hemiplegia.

Design

Cross-sectional study.

Setting

Motion analysis laboratory of the Wonkwang University Gwangju Hospital.

Participants

Outpatients, diagnosed with ischemic stroke more than 3 months and less than 9 months before participating in the study (N=29; 11 men, 18 women).

Interventions

Not applicable.

Main Outcome Measures

The gait event parameters and time- and frequency-domain electromyogram (EMG) parameters of the lower limbs of the affected and unaffected sides was determined using BTS motion capture with the Delsys Trigno Avanti EMG wireless system.

Results

The swing time, stance phase, swing phase, single support phase, and median power frequency of the gastrocnemius muscle showed a significant difference between the affected and unaffected sides. Using a logistic regression model, the swing phase, single support phase, and median frequency of the gastrocnemius muscle were selected to classify the affected side.

Conclusion

The single support phase of the affected side is shortened to reduce load bearing, which causes a reduction in the stance phase ratio. Unlike gait-event parameters, EMG data of hemiplegic stroke patients are difficult to generalize. Among them, the logistic regression model with some affected side parameters expected to be set as the severity and improvement baseline of the affected side. Additional data collection and generalization of muscle activity is required to improve the classification model.

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审稿时长
8 weeks
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