On the impact of arousals on the performance of sleep and wake classification using actigraphy

P. Fonseca; X. Long; J. Foussier; R.M. Aarts

doi:10.1109/EMBC.2013.6611108

On the impact of arousals on the performance of sleep and wake classification using actigraphy

P. Fonseca, X. Long, J. Foussier, R.M. Aarts

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

9 Citaten (Scopus)

316 Downloads (Pure)

Samenvatting

We evaluated the impact of arousals on the performance of actigraphy-based sleep/wake classification. Using a dataset of 15 healthy adults and a threshold optimized for this task we found that the percentage of sleep epochs with activity counts above that threshold was significantly larger in epochs with and following arousals. We also found that 41.1% of all false positive classifications occurred in these epochs. Finally, we determined that excluding these epochs from the evaluation led to a maximum precision increase of 17.2%. Considering wake detections in those epochs as correct led to a maximum precision increase of 31.3%. We concluded that unless arousals can be automatically identified or at least distinguished from wake, the performance of actigraphy-based sleep/wake classifiers is limited by their presence.

Originele taal-2	Engels
Titel	Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	6760-6763
ISBN van geprinte versie	978-1-4577-0216-7
DOI's	https://doi.org/10.1109/EMBC.2013.6611108
Status	Gepubliceerd - 2013
Evenement	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duur: 3 jul. 2013 → 7 jul. 2013 Congresnummer: 35

Congres

Congres	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Verkorte titel	EMBC 2013
Land/Regio	Japan
Stad	Osaka
Periode	3/07/13 → 7/07/13
Ander	The 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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10.1109/EMBC.2013.6611108

publishers versionDefinitieve gepubliceerde versie, 600 KB

Sleep Medicine
van Gilst, M. M. (Content manager) & van der Hout-van der Jagt, M. B. (Content manager)
Impact: Research Topic/Theme (at group level)

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Fonseca, P., Long, X., Foussier, J., & Aarts, R. M. (2013). On the impact of arousals on the performance of sleep and wake classification using actigraphy. In Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan (blz. 6760-6763). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2013.6611108

Fonseca, P. ; Long, X. ; Foussier, J. et al. / On the impact of arousals on the performance of sleep and wake classification using actigraphy. Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan. Piscataway : Institute of Electrical and Electronics Engineers, 2013. blz. 6760-6763

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title = "On the impact of arousals on the performance of sleep and wake classification using actigraphy",

abstract = "We evaluated the impact of arousals on the performance of actigraphy-based sleep/wake classification. Using a dataset of 15 healthy adults and a threshold optimized for this task we found that the percentage of sleep epochs with activity counts above that threshold was significantly larger in epochs with and following arousals. We also found that 41.1% of all false positive classifications occurred in these epochs. Finally, we determined that excluding these epochs from the evaluation led to a maximum precision increase of 17.2%. Considering wake detections in those epochs as correct led to a maximum precision increase of 31.3%. We concluded that unless arousals can be automatically identified or at least distinguished from wake, the performance of actigraphy-based sleep/wake classifiers is limited by their presence.",

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Fonseca, P , Long, X, Foussier, J & Aarts, RM 2013, On the impact of arousals on the performance of sleep and wake classification using actigraphy. in Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan. Institute of Electrical and Electronics Engineers, Piscataway, blz. 6760-6763, 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, Osaka, Japan, 3/07/13. https://doi.org/10.1109/EMBC.2013.6611108

On the impact of arousals on the performance of sleep and wake classification using actigraphy. / Fonseca, P.; Long, X.; Foussier, J. et al.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan. Piscataway: Institute of Electrical and Electronics Engineers, 2013. blz. 6760-6763.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Long, X.

AU - Foussier, J.

AU - Aarts, R.M.

N1 - Conference code: 35

PY - 2013

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N2 - We evaluated the impact of arousals on the performance of actigraphy-based sleep/wake classification. Using a dataset of 15 healthy adults and a threshold optimized for this task we found that the percentage of sleep epochs with activity counts above that threshold was significantly larger in epochs with and following arousals. We also found that 41.1% of all false positive classifications occurred in these epochs. Finally, we determined that excluding these epochs from the evaluation led to a maximum precision increase of 17.2%. Considering wake detections in those epochs as correct led to a maximum precision increase of 31.3%. We concluded that unless arousals can be automatically identified or at least distinguished from wake, the performance of actigraphy-based sleep/wake classifiers is limited by their presence.

AB - We evaluated the impact of arousals on the performance of actigraphy-based sleep/wake classification. Using a dataset of 15 healthy adults and a threshold optimized for this task we found that the percentage of sleep epochs with activity counts above that threshold was significantly larger in epochs with and following arousals. We also found that 41.1% of all false positive classifications occurred in these epochs. Finally, we determined that excluding these epochs from the evaluation led to a maximum precision increase of 17.2%. Considering wake detections in those epochs as correct led to a maximum precision increase of 31.3%. We concluded that unless arousals can be automatically identified or at least distinguished from wake, the performance of actigraphy-based sleep/wake classifiers is limited by their presence.

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Fonseca P , Long X, Foussier J, Aarts RM. On the impact of arousals on the performance of sleep and wake classification using actigraphy. In Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan. Piscataway: Institute of Electrical and Electronics Engineers. 2013. blz. 6760-6763 doi: 10.1109/EMBC.2013.6611108

On the impact of arousals on the performance of sleep and wake classification using actigraphy

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Sleep Medicine

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