A Spiking Neural Network in sEMG Feature Extraction

被引：29

作者：

Lobov, Sergey ^{[1
]}

Mironov, Vasiliy ^{[1
]}

Kastalskiy, Innokentiy ^{[1
]}

Kazantsev, Victor ^{[1
]}

机构：

[1] Lobachevsky State Univ Nizhni Novgorod, Dept Neurotechnol, Nizhnii Novgorod 603950, Russia

来源：

SENSORS | 2015年 / 15卷 / 11期

关键词：

sEMG; feature extraction; pattern classification; artificial neural network; neurointerface; exoskeleton; MODEL;

D O I：

10.3390/s151127894

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

We have developed a novel algorithm for sEMG feature extraction and classification. It is based on a hybrid network composed of spiking and artificial neurons. The spiking neuron layer with mutual inhibition was assigned as feature extractor. We demonstrate that the classification accuracy of the proposed model could reach high values comparable with existing sEMG interface systems. Moreover, the algorithm sensibility for different sEMG collecting systems characteristics was estimated. Results showed rather equal accuracy, despite a significant sampling rate difference. The proposed algorithm was successfully tested for mobile robot control.

引用

页码：27894 / 27904

页数：11

共 50 条

[31] Spiking Neural Network Pressure Sensor
Markiewicz, Michal
Brzozowski, Ireneusz
Janusz, Szymon
NEURAL COMPUTATION, 2024, 36 (11) : 2299 - 2321
[32] A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification
Vaila, Ruthvik
Chiasson, John
Saxena, Vishal
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 6 (01): : 124 - 135
[33] A Multifeatured Time-Frequency Neural Network System for Classifying sEMG
Gao, Zhongke
Wang, Yangyang
Sun, Xinlin
Chen, Peiyin
Ma, Chao
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (11) : 4588 - 4592
[34] Hierarchical spiking neural network auditory feature based dry-type transformer fault diagnosis using convolutional neural network
Zhao, Hangyu
Yang, Yong
Liu, Houguang
Wang, Jie
Wang, Xiao
Yang, Shanguo
MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (03)
[35] A novel parallel merge neural network with streams of spiking neural network and artificial neural network
Yang, Jie
Zhao, Junhong
INFORMATION SCIENCES, 2023, 642
[36] Neural encoding with unsupervised spiking convolutional neural network
Wang, Chong
Yan, Hongmei
Huang, Wei
Sheng, Wei
Wang, Yuting
Fan, Yun-Shuang
Liu, Tao
Zou, Ting
Li, Rong
Chen, Huafu
COMMUNICATIONS BIOLOGY, 2023, 6 (01)
[37] The Neural Network for Online Learning Task Without Manual Feature Extraction
Fedorenko, Yuriy
Chernenkiy, Valeriy
Gapanyuk, Yuriy
ADVANCES IN NEURAL NETWORKS - ISNN 2019, PT I, 2019, 11554 : 67 - 76
[38] Feature Extraction and Classification of Photovoltaic Panels Based on Convolutional Neural Network
Prabhakaran, S.
Uthra, R. Annie
Preetharoselyn, J.
CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 74 (01): : 1437 - 1455
[39] Biorealistic Spiking Neural Network on FPGA
Ambroise, Matthieu
Levi, Timothee
Bornat, Yannick
Saighi, Sylvain
2013 47TH ANNUAL CONFERENCE ON INFORMATION SCIENCES AND SYSTEMS (CISS), 2013,
[40] Improving CBIR Accuracy using Convolutional Neural Network for Feature Extraction
Shah, Amjad
Naseem, Rashid
Sadia
Iqbal, Shahid
Shah, Muhammad Arif
2017 13TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES (ICET 2017), 2017,

← 1 2 3 4 5 →