Encoding polysomnographic signals into spike firing rate for sleep staging

Sergio Valadez; Humberto Sossa; Raúl Santiago-Montero; Elizabeth Guevara

doi:10.1007/978-3-319-19264-2_27

Encoding polysomnographic signals into spike firing rate for sleep staging

Sergio Valadez, Humberto Sossa, Raúl Santiago-Montero, Elizabeth Guevara

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

In this work, an encoding of polysomnographic signals into a spike firing rate, based on the BSA algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms - such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Naïve Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.

Original language	English
Title of host publication	Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
Editors	José Arturo Olvera López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Fazel Famili, Juan Humberto Sossa-Azuela
Publisher	Springer Verlag
Pages	282-291
Number of pages	10
ISBN (Electronic)	9783319192635
DOIs	https://doi.org/10.1007/978-3-319-19264-2_27
State	Published - 2015
Event	7th Mexican Conference on Pattern Recognition, MCPR 2015 - Mexico City, Mexico Duration: 24 Jun 2015 → 27 Jun 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9116
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th Mexican Conference on Pattern Recognition, MCPR 2015
Country/Territory	Mexico
City	Mexico City
Period	24/06/15 → 27/06/15

Keywords

BSA algorithm
Classification
EEG
EMG
EOG
Encoding
FIR filter
Polysomnogram
Sleep stages
Spike firing rate
Spike train

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10.1007/978-3-319-19264-2_27

Cite this

Valadez, S., Sossa, H., Santiago-Montero, R., & Guevara, E. (2015). Encoding polysomnographic signals into spike firing rate for sleep staging. In J. A. Olvera López, J. A. Carrasco-Ochoa, J. F. Martínez-Trinidad, F. Famili, & J. H. Sossa-Azuela (Eds.), Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings (pp. 282-291). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9116). Springer Verlag. https://doi.org/10.1007/978-3-319-19264-2_27

Valadez, Sergio ; Sossa, Humberto ; Santiago-Montero, Raúl et al. / Encoding polysomnographic signals into spike firing rate for sleep staging. Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings. editor / José Arturo Olvera López ; Jesús Ariel Carrasco-Ochoa ; José Francisco Martínez-Trinidad ; Fazel Famili ; Juan Humberto Sossa-Azuela. Springer Verlag, 2015. pp. 282-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{fab6f14a9f17471598a06c5efb6ecb38,

title = "Encoding polysomnographic signals into spike firing rate for sleep staging",

abstract = "In this work, an encoding of polysomnographic signals into a spike firing rate, based on the BSA algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms - such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Na{\"i}ve Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.",

keywords = "BSA algorithm, Classification, EEG, EMG, EOG, Encoding, FIR filter, Polysomnogram, Sleep stages, Spike firing rate, Spike train",

author = "Sergio Valadez and Humberto Sossa and Ra{\'u}l Santiago-Montero and Elizabeth Guevara",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 7th Mexican Conference on Pattern Recognition, MCPR 2015 ; Conference date: 24-06-2015 Through 27-06-2015",

year = "2015",

doi = "10.1007/978-3-319-19264-2_27",

language = "Ingl{\'e}s",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "282--291",

editor = "{Olvera L{\'o}pez}, {Jos{\'e} Arturo} and Carrasco-Ochoa, {Jes{\'u}s Ariel} and Mart{\'i}nez-Trinidad, {Jos{\'e} Francisco} and Fazel Famili and Sossa-Azuela, {Juan Humberto}",

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Valadez, S, Sossa, H, Santiago-Montero, R & Guevara, E 2015, Encoding polysomnographic signals into spike firing rate for sleep staging. in JA Olvera López, JA Carrasco-Ochoa, JF Martínez-Trinidad, F Famili & JH Sossa-Azuela (eds), Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9116, Springer Verlag, pp. 282-291, 7th Mexican Conference on Pattern Recognition, MCPR 2015, Mexico City, Mexico, 24/06/15. https://doi.org/10.1007/978-3-319-19264-2_27

Encoding polysomnographic signals into spike firing rate for sleep staging. / Valadez, Sergio; Sossa, Humberto; Santiago-Montero, Raúl et al.
Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings. ed. / José Arturo Olvera López; Jesús Ariel Carrasco-Ochoa; José Francisco Martínez-Trinidad; Fazel Famili; Juan Humberto Sossa-Azuela. Springer Verlag, 2015. p. 282-291 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9116).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Encoding polysomnographic signals into spike firing rate for sleep staging

AU - Valadez, Sergio

AU - Sossa, Humberto

AU - Santiago-Montero, Raúl

AU - Guevara, Elizabeth

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - In this work, an encoding of polysomnographic signals into a spike firing rate, based on the BSA algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms - such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Naïve Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.

AB - In this work, an encoding of polysomnographic signals into a spike firing rate, based on the BSA algorithm, is used as a discriminant feature for sleep stage classification. This proposal obtains a better sleep staging compared with the mean power signals frequency. Furthermore, a comparison of classification results obtained by different algorithms - such as Support Vector Machines, Multilayer Perceptron, Radial Basis Function Network, Naïve Bayes, K-Nearest Neighbors and the decision tree algorithm C4.5 - is reported, demonstrating that Multilayer Perceptron has the best performance.

KW - BSA algorithm

KW - Classification

KW - EEG

KW - EMG

KW - EOG

KW - Encoding

KW - FIR filter

KW - Polysomnogram

KW - Sleep stages

KW - Spike firing rate

KW - Spike train

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U2 - 10.1007/978-3-319-19264-2_27

DO - 10.1007/978-3-319-19264-2_27

M3 - Contribución a la conferencia

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 282

EP - 291

BT - Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings

A2 - Olvera López, José Arturo

A2 - Carrasco-Ochoa, Jesús Ariel

A2 - Martínez-Trinidad, José Francisco

A2 - Famili, Fazel

A2 - Sossa-Azuela, Juan Humberto

PB - Springer Verlag

T2 - 7th Mexican Conference on Pattern Recognition, MCPR 2015

Y2 - 24 June 2015 through 27 June 2015

ER -

Valadez S, Sossa H, Santiago-Montero R, Guevara E. Encoding polysomnographic signals into spike firing rate for sleep staging. In Olvera López JA, Carrasco-Ochoa JA, Martínez-Trinidad JF, Famili F, Sossa-Azuela JH, editors, Pattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings. Springer Verlag. 2015. p. 282-291. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-19264-2_27

Encoding polysomnographic signals into spike firing rate for sleep staging

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Keywords

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