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一种新型电容式步传感器,用于触发功能性电刺激器设备治疗足下垂。

A Novel Capacitive Step Sensor to Trigger Stimulation on Functional Electrical Stimulators Devices for Drop Foot.

出版信息

IEEE Trans Neural Syst Rehabil Eng. 2020 Dec;28(12):3083-3088. doi: 10.1109/TNSRE.2020.3039174. Epub 2021 Jan 28.

Abstract

Drop foot is a typical clinical condition associated with stroke. According to the World Health Organization, fifteen million people suffer a stroke per year, and one of three people's survival gets drop foot. Functional Electrical Stimulation systems are applied over the peroneal motor nerve to achieve the drop foot problem's dorsiflexion. An accurate and reliable way to identify in real-time the gait phases to trigger and finish the stimulation is needed. This paper proposes a new step sensor with a custom capacitive pressure sensors array located under the heel to detect a gait pattern in real-time to synchronize the stimulation with the user gait. The step sensor uses a capacitive pressure sensors array and hardware, which acquire the signals, execute an algorithm to detect the start and finish of the swing phase in real-time, and send the synchronization signal wirelessly. The step sensor was tested in two ways: 10 meters walk test and walking in a treadmill for 2 minutes. These two tests were performed with two different walk velocities and with thirteen healthy volunteers. Thus, all the 1342 steps were correctly detected. Compared to an inertial sensor located in the lower-back, the proposed step sensor achieves a mean error of 27.60±0.03 [ms] for the detection of the start of the swing phase and a mean error of 20.86±0.02 [ms] for the detection of the end of the swing phase. The results show an improvement in time error (respect to others pressure step sensors), sensibility and specificity (both 100%), and comfortability.

摘要

足下垂是一种与中风相关的典型临床症状。根据世界卫生组织的数据,每年有 1500 万人患有中风,其中三分之一的幸存者会出现足下垂。功能性电刺激系统应用于腓总运动神经,以实现足下垂问题的背屈。需要一种准确可靠的方法来实时识别步态阶段,以触发和完成刺激。本文提出了一种新的步传感器,该传感器具有一个定制的电容压力传感器阵列,位于脚跟下方,以实时检测步态模式,将刺激与用户的步态同步。步传感器使用电容压力传感器阵列和硬件来获取信号,实时执行算法以检测摆动阶段的开始和结束,并通过无线方式发送同步信号。步传感器通过两种方式进行了测试:10 米步行测试和在跑步机上行走 2 分钟。这两种测试都是在两种不同的步行速度下进行的,有 13 名健康志愿者参与。因此,所有 1342 步都被正确检测到。与位于下背部的惯性传感器相比,所提出的步传感器在检测摆动阶段开始时的平均误差为 27.60±0.03 [ms],在检测摆动阶段结束时的平均误差为 20.86±0.02 [ms]。结果表明,在时间误差(与其他压力步传感器相比)、灵敏度和特异性(均为 100%)以及舒适度方面都有所改善。

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