A Real-Time ENG Pattern Recognition System based Sensory Event detection for Closed-Loop Control

Title
A Real-Time ENG Pattern Recognition System based Sensory Event detection for Closed-Loop Control
Authors
한성민추준욱최귀원서준교박종웅윤인찬
Keywords
Sensory event detection; sensory feedback; Electroneurogram (ENG)
Issue Date
2014-11
Publisher
International BioMedical Engineering Conference 2014 (IBEC 2014)
Citation
, 206-206
Abstract
The goal of the present study was to detect real-time continuous sensory event from tactile afferent signals. To implement real-time continuous sensory event detection, we propose a novel electroneurogram (ENG) based pattern recognition. The tactile afferent signals were recorded from 16-channel micro-electrode on the dorsal root ganglion and feature vectors were extracted by a novel combination of time-frequency domain (TFD3). Principal component analysis (PCA) was used to reduce dimensionality of feature vectors. Finally, multilayer perceptron (MLP) classifier was used to detect sensory events. This result shows that the proposed method can be used for real-time continuous sensory event detection for closed-loop control.
URI
http://pubs.kist.re.kr/handle/201004/49142
Appears in Collections:
KIST Publication > Conference Paper
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