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

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

9 Citations (Scopus)

306 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	6760-6763
ISBN (Print)	978-1-4577-0216-7
DOIs	https://doi.org/10.1109/EMBC.2013.6611108
Publication status	Published - 2013
Event	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 - Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 Conference number: 35

Conference

Conference	35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013
Abbreviated title	EMBC 2013
Country/Territory	Japan
City	Osaka
Period	3/07/13 → 7/07/13

Access to Document

10.1109/EMBC.2013.6611108

publishers versionFinal published version, 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)

Cite this

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 (pp. 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. pp. 6760-6763

@inproceedings{994e7a5d514e44f3a9aa67d323551328,

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.",

author = "P. Fonseca and X. Long and J. Foussier and R.M. Aarts",

year = "2013",

doi = "10.1109/EMBC.2013.6611108",

language = "English",

isbn = "978-1-4577-0216-7",

pages = "6760--6763",

booktitle = "Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

}

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, pp. 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. p. 6760-6763.

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

TY - GEN

T1 - On the impact of arousals on the performance of sleep and wake classification using actigraphy

AU - Fonseca, P.

AU - Long, X.

AU - Foussier, J.

AU - Aarts, R.M.

N1 - Conference code: 35

PY - 2013

Y1 - 2013

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.

U2 - 10.1109/EMBC.2013.6611108

DO - 10.1109/EMBC.2013.6611108

M3 - Conference contribution

C2 - 24111295

SN - 978-1-4577-0216-7

SP - 6760

EP - 6763

BT - Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'13), 2-7 September, Osaka, Japan

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013

Y2 - 3 July 2013 through 7 July 2013

ER -

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. p. 6760-6763 doi: 10.1109/EMBC.2013.6611108

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

Abstract

Conference

Access to Document

Fingerprint

Research areas

Sleep Medicine

Cite this