融合超声影像动态评估中风偏瘫患者内侧腓肠肌状态

Dynamic Estimation of Medial Gastrocnemius Activities in Post-stroke Hemiparetic Gait Using Ultrasonography

定量评估中风偏瘫患者的状态现今仍然很困难,该研究提出了一种创新的方法来研究偏瘫步态中的肌肉活动。该研究开发了一种可穿戴式数据采集平台来实现超声影像,肌电图和关节角度的同步采集。使用该平台对12例偏瘫患者进行测试,研究分析了他们在跑步机上行走过程中内侧腓肠肌活动的特点。实验结果发现,患侧相比于健侧,内侧腓肠肌的羽状角和肌电信号的动态范围更加分散。这些结果表明上述可穿戴式多模态信号采集平台可以提供有关内侧腓肠肌动力学的更加全面的信息,为偏瘫患者的状态评估提供了一种有潜力的工具。

Quantitative evaluation on the level of hemiparesis for post-stroke patients is still challenging. In this study, we proposed an innovative method for investigating in vivo muscle behavior in hemiparetic gait. A wearable data collection platform was developed for the simultaneous acquisition of ultrasonography （US）, electromyography （EMG） and joint angle during gait cycles. Using this platform, we studied twelve hemiparetic patients during walking on a treadmill and analyzed the corresponding characteristics of their medial gastrocnemius （GM） muscle. Several interesting outputs are achieved such as the observation that dynamic ranges of the both the pennation angle （PA） of GM and EMG signal from same side were more diffused, for the affected side than for the unaffected side. The results suggested that the proposed multimodal signal acquisition and wearable platform is capable of providing comprehensive in vivo information regarding dynamics of ankle and medial gastrocnemius. The proposed platform could be a promising tool for the assessment of hemiparesis patients.