A LOW-COMPUTATIONAL COMPLEXITY SYSTEM FOR EEG SIGNALS COMPRESSION AND CLASSIFICATION

被引：0

作者：

Zhang, Qinming ^{[1
]}

Zhang, Jia ^{[1
]}

Zhuo, Cheng ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China

来源：

2019 CHINA SEMICONDUCTOR TECHNOLOGY INTERNATIONAL CONFERENCE (CSTIC) | 2019年

关键词：

D O I：

10.1109/cstic.2019.8755744

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Brain-computer interface (BCI) has emerged as a promising technology to explore physiological activities and functional states of the human brain. This paper presents an Electroencephalogram (EEG) signals processing system, which consists of the compression process, reconstruction process and the classification process. The EEG signals is reconstructed with 5.318 +/- 0.08 root mean square error and 0.881 +/- 0.06 structural similarity index in short CPU time. The experiments on the two classes motor imagery EEG signals reaches up to 92% accuracy with the proposed feature extraction method. Compared with prior works, the proposed work is able to achieve better performance with high fidelity and low computational complexity.

引用

页数：3

共 50 条

[1] Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification
Wang, Huajun
Zhu, Zhibin
Shao, Yuanhai
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (07): : 4151 - 4163
[2] Low-Computational Complexity Intrusion Detection System for Jamming Attacks in Smart Grids
Chatfield, Brycent
Haddad, Rami J.
Chen, Lei
[J]. 2018 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2018, : 367 - 371
[3] A Low-Computational Approach on Gaze Estimation With Eye Touch System
Topal, Cihan
Gunal, Serkan
Kocdeviren, Onur
Dogan, Atakan
Gerek, Omer Nezih
[J]. IEEE TRANSACTIONS ON CYBERNETICS, 2014, 44 (02) : 228 - 239
[4] Low Computational Complexity EEG Epilepsy Data Classification Algorithm for Patients With Intractable Seizures
Aldabbagh, Ahmad M.
Alshebeili, Saleh A.
Alotaiby, Turky N.
Abd-Elsamie, Fathi E.
[J]. PROCEEDINGS 2015 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING (ICOBE 2015), 2015,
[5] Generalized Low-Computational Cost Laplacian Eigenmaps
Salazar-Castro, J. A.
Pena, D. F.
Basante, C.
Ortega, C.
Cruz-Cruz, L.
Revelo-Fuelagan, J.
Blanco-Valencia, X. P.
Castellanos-Dominguez, G.
Peluffo-Ordonez, D. H.
[J]. INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2018, PT I, 2018, 11314 : 661 - 669
[6] Data Compression of EEG Signals for Artificial Neural Network Classification
Birvinskas, Darius
Jusas, Vacius
Martisius, Ignas
Damasevicius, Robertas
[J]. INFORMATION TECHNOLOGY AND CONTROL, 2013, 42 (03): : 238 - 241
[7] Low Computational Complexity Classifier Based on the Maximum Relative Global Peak for the Classification of EOG Signals
Marseet, Akram
Kumar, Shitij
Sahin, Ferat
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 2113 - 2119
[8] High-Contrast and Low-Computational Complexity Medical Ultrasound Imaging Using Beamspace Capon Method
Okumura, Shigeaki
Taki, Hirofumi
Sato, Toru
[J]. 2015 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2015, : 6334 - 6337
[9] Classification of EEG signals for a hypnotrack BCI system
Alimardani, Maryam
Keshmiri, Soheil
Sumioka, Hidenobu
Hiraki, Kazuo
[J]. 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 240 - 245
[10] Computational Complexity versus Accuracy in Classification of Cortical Neural Signals
Tenore, Francesco
Aggarwal, Vikram
White, James R.
Schieber, Marc H.
Thakor, Nitish V.
[J]. 2009 4TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2009, : 743 - +

← 1 2 3 4 5 →