Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

on behalf of the IDEA-FAST project consortium; Emmi Antikainen; Haneen Njoum; Jennifer Kudelka; Diogo Branco; Rana Zia Ur Rehman; Victoria Macrae; Kristen Davies; Hanna Hildesheim; Kirsten Emmert; Ralf Reilmann; C. Janneke van der Woude; Walter Maetzler; Wan Fai Ng; Patricio O’Donnell; Geert Van Gassen; Frédéric Baribaud; Ioannis Pandis; Nikolay V. Manyakov; Mark van Gils; Teemu Ahmaniemi; Meenakshi Chatterjee

doi:10.3389/fphys.2022.968185

Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

on behalf of the IDEA-FAST project consortium, Emmi Antikainen, Haneen Njoum, Jennifer Kudelka, Diogo Branco, Rana Zia Ur Rehman, Victoria Macrae, Kristen Davies, Hanna Hildesheim, Kirsten Emmert, Ralf Reilmann, C. Janneke van der Woude, Walter Maetzler, Wan Fai Ng, Patricio O’Donnell, Geert Van Gassen, Frédéric Baribaud, Ioannis Pandis, Nikolay V. Manyakov, Mark van GilsTeemu Ahmaniemi, Meenakshi Chatterjee

Computing Sciences

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Abstract

Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily via Patient Reported Outcomes (PROs), which can suffer from recall biases and have limited sensitivity to temporal variations. Objective measurements from wearable sensors allow to reliably quantify disease state, changes in the HRQoL, and evaluate therapeutic outcomes. This work investigates the feasibility of capturing continuous physiological signals from an electrocardiography-based wearable device for remote monitoring of fatigue and sleep and quantifies the relationship of objective digital measures to self-reported fatigue and sleep disturbances. 136 individuals were followed for a total of 1,297 recording days in a longitudinal multi-site study conducted in free-living settings and registered with the German Clinical Trial Registry (DRKS00021693). Participants comprised healthy individuals (N = 39) and patients with neurodegenerative disorders (NDD, N = 31) and immune mediated inflammatory diseases (IMID, N = 66). Objective physiological measures correlated with fatigue and sleep PROs, while demonstrating reasonable signal quality. Furthermore, analysis of heart rate recovery estimated during activities of daily living showed significant differences between healthy and patient groups. This work underscores the promise and sensitivity of novel digital measures from multimodal sensor time-series to differentiate chronic patients from healthy individuals and monitor their HRQoL. The presented work provides clinicians with realistic insights of continuous at home patient monitoring and its practical value in quantitative assessment of fatigue and sleep, an area of unmet need.

Original language	English
Article number	968185
Number of pages	17
Journal	Frontiers in Physiology
Volume	13
DOIs	https://doi.org/10.3389/fphys.2022.968185
Publication status	Published - 14 Nov 2022
Publication type	A1 Journal article-refereed

Funding

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

Keywords

biomedical signal analysis
chronic disease
continuous monitoring
fatigue
immune-mediated inflammatory disease
neurodegenerative diseases
sleep disturbance
wearabe sensors

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Physiology
Physiology (medical)

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fphys-13-968185Final published version, 3.57 MBLicence: CC BY

https://urn.fi/URN:NBN:fi:tuni-202301031065Licence: CC BY

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on behalf of the IDEA-FAST project consortium, Antikainen, E., Njoum, H., Kudelka, J., Branco, D., Rehman, R. Z. U., Macrae, V., Davies, K., Hildesheim, H., Emmert, K., Reilmann, R., Janneke van der Woude, C., Maetzler, W., Ng, W. F., O’Donnell, P., Van Gassen, G., Baribaud, F., Pandis, I., Manyakov, N. V., ... Chatterjee, M. (2022). Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study. Frontiers in Physiology, 13, Article 968185. https://doi.org/10.3389/fphys.2022.968185

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title = "Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study",

abstract = "Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily via Patient Reported Outcomes (PROs), which can suffer from recall biases and have limited sensitivity to temporal variations. Objective measurements from wearable sensors allow to reliably quantify disease state, changes in the HRQoL, and evaluate therapeutic outcomes. This work investigates the feasibility of capturing continuous physiological signals from an electrocardiography-based wearable device for remote monitoring of fatigue and sleep and quantifies the relationship of objective digital measures to self-reported fatigue and sleep disturbances. 136 individuals were followed for a total of 1,297 recording days in a longitudinal multi-site study conducted in free-living settings and registered with the German Clinical Trial Registry (DRKS00021693). Participants comprised healthy individuals (N = 39) and patients with neurodegenerative disorders (NDD, N = 31) and immune mediated inflammatory diseases (IMID, N = 66). Objective physiological measures correlated with fatigue and sleep PROs, while demonstrating reasonable signal quality. Furthermore, analysis of heart rate recovery estimated during activities of daily living showed significant differences between healthy and patient groups. This work underscores the promise and sensitivity of novel digital measures from multimodal sensor time-series to differentiate chronic patients from healthy individuals and monitor their HRQoL. The presented work provides clinicians with realistic insights of continuous at home patient monitoring and its practical value in quantitative assessment of fatigue and sleep, an area of unmet need.",

keywords = "biomedical signal analysis, chronic disease, continuous monitoring, fatigue, immune-mediated inflammatory disease, neurodegenerative diseases, sleep disturbance, wearabe sensors",

author = "{on behalf of the IDEA-FAST project consortium} and Emmi Antikainen and Haneen Njoum and Jennifer Kudelka and Diogo Branco and Rehman, {Rana Zia Ur} and Victoria Macrae and Kristen Davies and Hanna Hildesheim and Kirsten Emmert and Ralf Reilmann and {Janneke van der Woude}, C. and Walter Maetzler and Ng, {Wan Fai} and Patricio O{\textquoteright}Donnell and {Van Gassen}, Geert and Fr{\'e}d{\'e}ric Baribaud and Ioannis Pandis and Manyakov, {Nikolay V.} and {van Gils}, Mark and Teemu Ahmaniemi and Meenakshi Chatterjee",

note = "Funding Information: The presented work was funded via the IDEA-FAST project, which has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 853981. This Joint Undertaking receives support from the European Union{\textquoteright}s Horizon 2020 research and innovation programme and EFPIA and associated partners. Publisher Copyright: Copyright {\textcopyright} 2022 Antikainen, Njoum, Kudelka, Branco, Rehman, Macrae, Davies, Hildesheim, Emmert, Reilmann, Janneke van der Woude, Maetzler, Ng, O{\textquoteright}Donnell, Van Gassen, Baribaud, Pandis, Manyakov, van Gils, Ahmaniemi and Chatterjee.",

year = "2022",

month = nov,

day = "14",

doi = "10.3389/fphys.2022.968185",

language = "English",

volume = "13",

journal = "Frontiers in Physiology",

issn = "1664-042X",

publisher = "Frontiers",

}

on behalf of the IDEA-FAST project consortium, Antikainen, E, Njoum, H, Kudelka, J, Branco, D, Rehman, RZU, Macrae, V, Davies, K, Hildesheim, H, Emmert, K, Reilmann, R, Janneke van der Woude, C, Maetzler, W, Ng, WF, O’Donnell, P, Van Gassen, G, Baribaud, F, Pandis, I, Manyakov, NV, van Gils, M, Ahmaniemi, T & Chatterjee, M 2022, 'Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study', Frontiers in Physiology, vol. 13, 968185. https://doi.org/10.3389/fphys.2022.968185

TY - JOUR

T1 - Assessing fatigue and sleep in chronic diseases using physiological signals from wearables

T2 - A pilot study

AU - on behalf of the IDEA-FAST project consortium

AU - Antikainen, Emmi

AU - Njoum, Haneen

AU - Kudelka, Jennifer

AU - Branco, Diogo

AU - Rehman, Rana Zia Ur

AU - Macrae, Victoria

AU - Davies, Kristen

AU - Hildesheim, Hanna

AU - Emmert, Kirsten

AU - Reilmann, Ralf

AU - Janneke van der Woude, C.

AU - Maetzler, Walter

AU - Ng, Wan Fai

AU - O’Donnell, Patricio

AU - Van Gassen, Geert

AU - Baribaud, Frédéric

AU - Pandis, Ioannis

AU - Manyakov, Nikolay V.

AU - van Gils, Mark

AU - Ahmaniemi, Teemu

AU - Chatterjee, Meenakshi

N1 - Funding Information: The presented work was funded via the IDEA-FAST project, which has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 853981. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and associated partners. Publisher Copyright: Copyright © 2022 Antikainen, Njoum, Kudelka, Branco, Rehman, Macrae, Davies, Hildesheim, Emmert, Reilmann, Janneke van der Woude, Maetzler, Ng, O’Donnell, Van Gassen, Baribaud, Pandis, Manyakov, van Gils, Ahmaniemi and Chatterjee.

PY - 2022/11/14

Y1 - 2022/11/14

N2 - Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily via Patient Reported Outcomes (PROs), which can suffer from recall biases and have limited sensitivity to temporal variations. Objective measurements from wearable sensors allow to reliably quantify disease state, changes in the HRQoL, and evaluate therapeutic outcomes. This work investigates the feasibility of capturing continuous physiological signals from an electrocardiography-based wearable device for remote monitoring of fatigue and sleep and quantifies the relationship of objective digital measures to self-reported fatigue and sleep disturbances. 136 individuals were followed for a total of 1,297 recording days in a longitudinal multi-site study conducted in free-living settings and registered with the German Clinical Trial Registry (DRKS00021693). Participants comprised healthy individuals (N = 39) and patients with neurodegenerative disorders (NDD, N = 31) and immune mediated inflammatory diseases (IMID, N = 66). Objective physiological measures correlated with fatigue and sleep PROs, while demonstrating reasonable signal quality. Furthermore, analysis of heart rate recovery estimated during activities of daily living showed significant differences between healthy and patient groups. This work underscores the promise and sensitivity of novel digital measures from multimodal sensor time-series to differentiate chronic patients from healthy individuals and monitor their HRQoL. The presented work provides clinicians with realistic insights of continuous at home patient monitoring and its practical value in quantitative assessment of fatigue and sleep, an area of unmet need.

AB - Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily via Patient Reported Outcomes (PROs), which can suffer from recall biases and have limited sensitivity to temporal variations. Objective measurements from wearable sensors allow to reliably quantify disease state, changes in the HRQoL, and evaluate therapeutic outcomes. This work investigates the feasibility of capturing continuous physiological signals from an electrocardiography-based wearable device for remote monitoring of fatigue and sleep and quantifies the relationship of objective digital measures to self-reported fatigue and sleep disturbances. 136 individuals were followed for a total of 1,297 recording days in a longitudinal multi-site study conducted in free-living settings and registered with the German Clinical Trial Registry (DRKS00021693). Participants comprised healthy individuals (N = 39) and patients with neurodegenerative disorders (NDD, N = 31) and immune mediated inflammatory diseases (IMID, N = 66). Objective physiological measures correlated with fatigue and sleep PROs, while demonstrating reasonable signal quality. Furthermore, analysis of heart rate recovery estimated during activities of daily living showed significant differences between healthy and patient groups. This work underscores the promise and sensitivity of novel digital measures from multimodal sensor time-series to differentiate chronic patients from healthy individuals and monitor their HRQoL. The presented work provides clinicians with realistic insights of continuous at home patient monitoring and its practical value in quantitative assessment of fatigue and sleep, an area of unmet need.

KW - biomedical signal analysis

KW - chronic disease

KW - continuous monitoring

KW - fatigue

KW - immune-mediated inflammatory disease

KW - neurodegenerative diseases

KW - sleep disturbance

KW - wearabe sensors

U2 - 10.3389/fphys.2022.968185

DO - 10.3389/fphys.2022.968185

M3 - Article

AN - SCOPUS:85142922378

SN - 1664-042X

VL - 13

JO - Frontiers in Physiology

JF - Frontiers in Physiology

M1 - 968185

ER -

Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study

Abstract

Funding

Keywords

Publication forum classification

ASJC Scopus subject areas

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