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首页> 外文期刊>Computer methods in biomechanics and biomedical engineering >Verification of accuracy and validity of gait phase detection system using motion sensors for applying walking assistive FES
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Verification of accuracy and validity of gait phase detection system using motion sensors for applying walking assistive FES

机译:运用步态辅助FES的运动传感器验证步态相位检测系统的准确性和有效性

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摘要

In this study, we have analysed heel strike (HS) and toe off (TO) of normal individuals and hemiplegic patients, taking advantage of output curves acquired from various sensors, and verified the validity of sensor detection methods and their effectiveness when they were used for hemiplegic gaits. Gait phase detections using three different motion sensors were valid, since they all had reliabilities more than 95%, when compared with foot velocity algorithm. Results showed that the tilt sensor and the gyrosensor could detect gait phase more accurately in normal individuals. Vertical acceleration could detect HS most accurately in hemiplegic patient group A. The gyrosensor could detect HS and TO most accurately in hemiplegic patient groups A and B. The detection of TO from all sensor signals was valid in both the patient groups A and B. However, the vertical acceleration detected HS validly in patient group A and the gyrosensor detected HS validly in patient group B.
机译:在这项研究中,我们分析了正常人和偏瘫患者的脚跟打击(HS)和脚趾脱(TO),利用从各种传感器获得的输出曲线,并验证了传感器检测方法的有效性及其使用时的有效性。偏瘫步态使用三种不同的运动传感器进行步态相位检测是有效的,因为与脚速度算法相比,它们的可靠性均超过95%。结果表明,倾斜传感器和陀螺仪传感器可以更准确地检测正常个体的步态相位。垂直加速度可以在偏瘫患者A组中最准确地检测HS。陀螺仪传感器可以在偏瘫患者A和B组中最准确地检测HS和TO。从所有传感器信号中检测到TO在A和B组患者中均有效。 ,垂直加速度在患者组A中有效检测到HS,而陀螺传感器在患者组B中有效检测到HS。

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