Author/Editor		Furuse, N; Cikajlo, I; Bajd, T; Watanabe, T; Hoshimiya, N
Title		Training of stance phase during FES assisted walking - detection of stance phase by artificial neural network
Type		članek
Source		In: Karčnik T, Veltink P, Jaeger R, editors. IFESS 2002. Proceedings of the 7th annaual conference of the International functional electrical stimulation society; 2002 Jun 25-29; Ljubljana. Ljubljana: Faculty of electrical engineering,
Publication year		2002
Volume		str. 63-5
Language		eng
Abstract		In this paper we proposed a method of stance phase detection for portable sensor system. The sensor system is a part of the feedback system in forthcoming FES gait re-education orthosis. It consisted of two goniometers, two accelerometers and a gyroscope mounted on an aluminum plate. Three healthy subjects and an incomplete spinal cord injured patient participated in the experiment. They were asked to walk with normal walking speed, then faster and afterwards slower. The Artiftcial Neural Networks were used to recognize stance phase from the sensor signals. We concluded that the sensor system together with signal processing composed of the Artificial Neural Networks could detect the beginning of the stance phase with high probability.
Descriptors		SPINAL CORD INJURIES ORTHOTIC DEVICES ELECTRIC STIMULATION THERAPY GAIT NEURAL NETWORKS (COMPUTER)