Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study

Luan Chen; Xujun Ma; Meenakshi Chatterjee; Juha M. Kortelainen; Teemu Ahmaniemi; Walter Maetzler; Pei Wang; Daqing Zhang

doi:10.1109/EMBC48229.2022.9870923

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study

Luan Chen, Xujun Ma, Meenakshi Chatterjee, Juha M. Kortelainen, Teemu Ahmaniemi, Walter Maetzler, Pei Wang, Daqing Zhang

BA6307 Human sensing solutions

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

7 Citations (Scopus)

Abstract

For the patient community with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID), fatigue and sleep disturbances stand out as two of the most common and disabling symptoms, which mightily impair patient's quality of life. Traditional questionnaire-oriented approaches to reflect such symptoms suffer from recall bias and poor sensitivity to change. By virtue of multiple sensing modalities at home, IDEA-FAST project aims to identify novel digital endpoints of fatigue and sleep disturbances, that are objective, reliable and sensitive to change. This article presents and discusses results from a pilot study of IDEA-FAST to evaluate the feasibility of capturing sleep and fatigue measures from three sleep trackers. Data collected from 143 participants (age range: 21-82) across 6 disease groups and healthy cohort for a period of 9 months, were investigated using our proposed sensor analytical pipeline. The overall performance reveals that the median coverage rate of sleep trackers ranged from 48.3% to 76.9%. Furthermore, the digital measures obtained from each device, indicated a higher association with sleep related patient reported outcomes (PROs) than fatigue related ones, when taking all participants into account.

Original language	English
Title of host publication	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	1133-1136
Number of pages	4
ISBN (Electronic)	978-1-7281-2782-8
ISBN (Print)	978-1-7281-2783-5
DOIs	https://doi.org/10.1109/EMBC48229.2022.9870923
Publication status	Published - Jul 2022
MoE publication type	A4 Article in a conference publication
Event	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 - Glasgow, United Kingdom Duration: 11 Jul 2022 → 15 Jul 2022

Publication series

Series	Annual International Conference of the IEEE Engineering in Medicine and Biology
Volume	44
ISSN	2375-7477

Conference

Conference	44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Abbreviated title	EMBC 2022
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/22 → 15/07/22

Funding

ACKNOWLEDGMENT This work was supported by IDEA-FAST project, which has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 853981. The JU receives support from the European Union’s Horizon 2020 research and innovation programme EFPIA and associated partners.

Keywords

Adult
Aged
Aged, 80 and over
Fatigue/diagnosis
Humans
Middle Aged
Pilot Projects
Quality of Life
Sleep
Sleep Wake Disorders/diagnosis
Young Adult

Access to Document

10.1109/EMBC48229.2022.9870923

Cite this

Chen, L., Ma, X., Chatterjee, M., Kortelainen, J. M., Ahmaniemi, T., Maetzler, W., Wang, P., & Zhang, D. (2022). Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (pp. 1133-1136). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/EMBC48229.2022.9870923

Chen, Luan ; Ma, Xujun ; Chatterjee, Meenakshi et al. / Fatigue and Sleep Assessment using Digital Sleep Trackers : Insights from a Multi-Device Pilot Study. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE Institute of Electrical and Electronic Engineers, 2022. pp. 1133-1136 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 44).

@inproceedings{6f5bbcff33fd4a0e9d0a8150d8841196,

title = "Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study",

abstract = "For the patient community with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID), fatigue and sleep disturbances stand out as two of the most common and disabling symptoms, which mightily impair patient's quality of life. Traditional questionnaire-oriented approaches to reflect such symptoms suffer from recall bias and poor sensitivity to change. By virtue of multiple sensing modalities at home, IDEA-FAST project aims to identify novel digital endpoints of fatigue and sleep disturbances, that are objective, reliable and sensitive to change. This article presents and discusses results from a pilot study of IDEA-FAST to evaluate the feasibility of capturing sleep and fatigue measures from three sleep trackers. Data collected from 143 participants (age range: 21-82) across 6 disease groups and healthy cohort for a period of 9 months, were investigated using our proposed sensor analytical pipeline. The overall performance reveals that the median coverage rate of sleep trackers ranged from 48.3% to 76.9%. Furthermore, the digital measures obtained from each device, indicated a higher association with sleep related patient reported outcomes (PROs) than fatigue related ones, when taking all participants into account.",

keywords = "Adult, Aged, Aged, 80 and over, Fatigue/diagnosis, Humans, Middle Aged, Pilot Projects, Quality of Life, Sleep, Sleep Wake Disorders/diagnosis, Young Adult",

author = "Luan Chen and Xujun Ma and Meenakshi Chatterjee and Kortelainen, {Juha M.} and Teemu Ahmaniemi and Walter Maetzler and Pei Wang and Daqing Zhang",

year = "2022",

month = jul,

doi = "10.1109/EMBC48229.2022.9870923",

language = "English",

isbn = "978-1-7281-2783-5",

series = "Annual International Conference of the IEEE Engineering in Medicine and Biology",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "1133--1136",

booktitle = "44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022",

address = "United States",

note = "44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, EMBC 2022 ; Conference date: 11-07-2022 Through 15-07-2022",

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Chen, L, Ma, X, Chatterjee, M, Kortelainen, JM , Ahmaniemi, T, Maetzler, W, Wang, P & Zhang, D 2022, Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study. in 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE Institute of Electrical and Electronic Engineers, Annual International Conference of the IEEE Engineering in Medicine and Biology, vol. 44, pp. 1133-1136, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, United Kingdom, 11/07/22. https://doi.org/10.1109/EMBC48229.2022.9870923

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study. / Chen, Luan; Ma, Xujun; Chatterjee, Meenakshi et al.
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE Institute of Electrical and Electronic Engineers, 2022. p. 1133-1136 (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 44).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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AU - Chatterjee, Meenakshi

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AU - Ahmaniemi, Teemu

AU - Maetzler, Walter

AU - Wang, Pei

AU - Zhang, Daqing

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AB - For the patient community with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID), fatigue and sleep disturbances stand out as two of the most common and disabling symptoms, which mightily impair patient's quality of life. Traditional questionnaire-oriented approaches to reflect such symptoms suffer from recall bias and poor sensitivity to change. By virtue of multiple sensing modalities at home, IDEA-FAST project aims to identify novel digital endpoints of fatigue and sleep disturbances, that are objective, reliable and sensitive to change. This article presents and discusses results from a pilot study of IDEA-FAST to evaluate the feasibility of capturing sleep and fatigue measures from three sleep trackers. Data collected from 143 participants (age range: 21-82) across 6 disease groups and healthy cohort for a period of 9 months, were investigated using our proposed sensor analytical pipeline. The overall performance reveals that the median coverage rate of sleep trackers ranged from 48.3% to 76.9%. Furthermore, the digital measures obtained from each device, indicated a higher association with sleep related patient reported outcomes (PROs) than fatigue related ones, when taking all participants into account.

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DO - 10.1109/EMBC48229.2022.9870923

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Chen L, Ma X, Chatterjee M, Kortelainen JM , Ahmaniemi T, Maetzler W et al. Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study. In 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE Institute of Electrical and Electronic Engineers. 2022. p. 1133-1136. (Annual International Conference of the IEEE Engineering in Medicine and Biology, Vol. 44). doi: 10.1109/EMBC48229.2022.9870923

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

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IDEA-FAST: Identifying Digital Endpoints to Assess FAtigue, Sleep and acTivities in daily living in Neurodegenerative disorders and Immune-mediated inflammatory diseases

Cite this