Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance

Vasiliki-Maria Katsageorgiou; Glenda Lassi; Valter Tucci; Vittorio Murino; Diego Sona

doi:10.1109/EMBC.2015.7318433

Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance

Vasiliki-Maria Katsageorgiou, Glenda Lassi, Valter Tucci, Vittorio Murino, Diego Sona

School of Psychological Science

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

8 Citations (Scopus)

Abstract

Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fact that mice display electrical activity during sleep which has underlying similarities with that of human sleep. Both conventional manual and automatic sleep-wakefulness scoring are rule based tasks which use brain waves measured by Electroencephalogram (EEG) and activity detected by Electromyography (EMG) of skeletal muscles. Several works have been conducted trying to provide an automatic sleep-scoring system on the basis of machine learning methods. In this study we try to understand the reasons behind the complexity of this problem and we emphasize the importance of normalization procedure that leads to a better stage discrimination comparing different classification methods.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015)
Subtitle of host publication	Proceedings of a meeting held 25-29 August 2015, Milan, Italy
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	598-601
Number of pages	4
ISBN (Electronic)	9781424492718
ISBN (Print)	9781424492695
DOIs	https://doi.org/10.1109/EMBC.2015.7318433
Publication status	Published - Dec 2015

Publication series

Name
ISSN (Print)	1094-687X
ISSN (Electronic)	1558-4615

Keywords

Journal Article

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10.1109/EMBC.2015.7318433

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Katsageorgiou, V.-M., Lassi, G., Tucci, V., Murino, V., & Sona, D. (2015). Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy (pp. 598-601). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2015.7318433

Katsageorgiou, Vasiliki-Maria ; Lassi, Glenda ; Tucci, Valter et al. / Sleep-stage scoring in mice : The influence of data pre-processing on a system's performance. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 598-601

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Katsageorgiou, V-M, Lassi, G, Tucci, V, Murino, V & Sona, D 2015, Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE), pp. 598-601. https://doi.org/10.1109/EMBC.2015.7318433

Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. / Katsageorgiou, Vasiliki-Maria; Lassi, Glenda; Tucci, Valter et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 598-601.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Katsageorgiou, Vasiliki-Maria

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AU - Murino, Vittorio

AU - Sona, Diego

PY - 2015/12

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N2 - Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fact that mice display electrical activity during sleep which has underlying similarities with that of human sleep. Both conventional manual and automatic sleep-wakefulness scoring are rule based tasks which use brain waves measured by Electroencephalogram (EEG) and activity detected by Electromyography (EMG) of skeletal muscles. Several works have been conducted trying to provide an automatic sleep-scoring system on the basis of machine learning methods. In this study we try to understand the reasons behind the complexity of this problem and we emphasize the importance of normalization procedure that leads to a better stage discrimination comparing different classification methods.

AB - Sleep-stage analysis in mice and rats has received growing attention in recent years, due to the fact that mice display electrical activity during sleep which has underlying similarities with that of human sleep. Both conventional manual and automatic sleep-wakefulness scoring are rule based tasks which use brain waves measured by Electroencephalogram (EEG) and activity detected by Electromyography (EMG) of skeletal muscles. Several works have been conducted trying to provide an automatic sleep-scoring system on the basis of machine learning methods. In this study we try to understand the reasons behind the complexity of this problem and we emphasize the importance of normalization procedure that leads to a better stage discrimination comparing different classification methods.

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DO - 10.1109/EMBC.2015.7318433

M3 - Conference Contribution (Conference Proceeding)

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Katsageorgiou VM, Lassi G, Tucci V, Murino V, Sona D. Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015): Proceedings of a meeting held 25-29 August 2015, Milan, Italy. Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 598-601 Epub 2015 Nov 5. doi: 10.1109/EMBC.2015.7318433

Sleep-stage scoring in mice: The influence of data pre-processing on a system's performance

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