Why the study?
Continuous at-home quantitative assessment of fatigue and sleep in chronic diseases represents an area of unmet need.
Do physiological signals from wearables correlate with fatigue and sleep patient-reported outcomes in chronic diseases?
Do physiological signals from wearables correlate with fatigue and sleep patient-reported outcomes in chronic diseases?
Continuous at-home monitoring using wearables provides physiological measures that correlate with fatigue and sleep patient-reported outcomes, offering a novel way to assess health-related quality of life in chronic diseases.
Answers are grounded in this paper and cite their sources.
May support wearable monitoring of fatigue/sleep in chronic disease; hypothesis-generating and requires validation before practice change.
= 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.
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Antikainen et al. (2022) studied this question.
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