State Estimation of Walking Phase and Functional Electrical Stimulation by Wearable Device

被引：1

作者：

Obinata, Goro ^{[1
]}

Ogisu, Takuma ^{[2
]}

Hase, Kazunori ^{[2
]}

Kim, Youngwoo ^{[2
]}

Genda, Eiichi ^{[3
]}

机构：

[1] Nagoya Univ, EcoTopia Sci Inst, Nagoya, Aichi 4648603, Japan

[2] Nagoya Univ, Grad Sch Engn, Nagoya, Aichi 4648603, Japan

[3] Rosai Rehabil Engn Ctr, Nagoya, Aichi, Japan

来源：

2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20 | 2009年

关键词：

D O I：

10.1109/IEMBS.2009.5334827

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Functional electrical stimulation (FES) is useful to improve the gait of patients with peroneal nerve palsy or spastic hemiparesis after stroke. So as to apply FES to such patients, we have to have estimators for detecting the timing of phase switching in walking motion. We designed a wearable device for state estimating of walking and functional electrical stimulation. We consider the implementation of artificial neural network (ANN) into the device, and propose a method for supervised learning of the ANN. Two experiments have been conducted to show the effectiveness of the wearable device. The accuracy of estimating the timing for FES is good enough for the practical application.

引用

页码：5901 / +

页数：2

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