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

• DOI: 10.3389/fphys.2022.968185
• Publication Date: 2022-11-14T06:34:15Z
• Authors: 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 de...; 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
• Keywords: Sleep; Wearable Technology; Chronic Fatigue

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