Neuron's Spikes Noise Level Classification Using Hidden Markov Models

被引：0

作者：

Haggag, Sherif ^{[1
]}

Mohamed, Shady ^{[1
]}

Bhatti, Asim ^{[1
]}

Haggag, Hussein ^{[1
]}

Nahavandi, Saeid ^{[1
]}

机构：

[1] Deakin Univ, Ctr Intelligent Syst Res, Geelong, Vic 3217, Australia

来源：

NEURAL INFORMATION PROCESSING, ICONIP 2014, PT III | 2014年 / 8836卷

关键词：

Hidden Markov Model; Mel-Frequency Cepstrum Coefficient; Multichannel systems; neural signal; SYSTEM;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Considering that the uncertainty noise produced the decline in the quality of collected neural signal, this paper proposes a signal quality assessment method for neural signal. The method makes an automated measure to detect the noise levels in neural signal. Hidden Markov Models were used to build a classification model that classifies the neural spikes based on the noise level associated with the signal. This neural quality assessment measure will help doctors and researchers to focus on the patterns in the signal that have high signal to noise ratio and carry more information.

引用

页码：501 / 508

页数：8

共 50 条

[1] Noise Level Classification for EEG using Hidden Markov Models
Haggag, Sherif
Mohamed, Shady
Bhatti, Asim
Haggag, Hussein
Nahavandi, Saeid
[J]. 2015 10TH SYSTEM OF SYSTEMS ENGINEERING CONFERENCE (SOSE), 2015, : 439 - 444
[2] Classification of chirps using Hidden Markov Models
Balachandran, Nikhil
Creusere, Charles
[J]. 2006 FORTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-5, 2006, : 545 - +
[3] Classification of electrocardiogram using hidden Markov models
Cheng, WT
Chan, KL
[J]. PROCEEDINGS OF THE 20TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOL 20, PTS 1-6: BIOMEDICAL ENGINEERING TOWARDS THE YEAR 2000 AND BEYOND, 1998, 20 : 143 - 146
[4] Automatic classification of environmental noise events by hidden Markov models
Couvreur, C
Fontaine, V
Gaunard, P
Mubikangiey, CG
[J]. APPLIED ACOUSTICS, 1998, 54 (03) : 187 - 206
[5] Automatic classification of environmental noise events by hidden Markov models
Gaunard, P
Mubikangiey, CG
Couvreur, C
Fontaine, V
[J]. PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-6, 1998, : 3609 - 3612
[6] HEALTHCARE AUDIO EVENT CLASSIFICATION USING HIDDEN MARKOV MODELS AND HIERARCHICAL HIDDEN MARKOV MODELS
Peng, Ya-Ti
Lin, Ching-Yung
Sun, Ming-Ting
Tsai, Kun-Cheng
[J]. ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 1218 - +
[7] MMOG player classification using Hidden Markov Models
Matsumoto, Y
Thawonmas, R
[J]. ENTERTAINMENT COMPUTING - ICEC 2004, 2004, 3166 : 429 - 434
[8] Helicopter detection and classification using hidden Markov models
Kuklinski, WS
O'Neil, SD
Tromp, LD
[J]. SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION VIII, 1999, 3720 : 130 - 139
[9] Folk music classification using hidden Markov models
Chai, W
Vercoe, B
[J]. IC-AI'2001: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS I-III, 2001, : 216 - 221
[10] Classification of aerial missions using hidden Markov models
Anderson, M
[J]. SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDING, 2003, 2711 : 125 - 136

← 1 2 3 4 5 →