@inproceedings{7844ee2b87fa49bd938d3c56cb736ffb,
title = "Assessment of heart rate circadianity alterations in patients with depression using a wearable device",
abstract = "The aim of this study is to assess whether the possible loss of circadian rhythm, a modulator of heart rate, is associated with the severity of depression. For that, Cosinor fitting method was applied to heart rate data of 203 patients with major depressive disorder, recorded continuously over 18 months by a wearable device. Results revealed that the amplitude derived from the Cosinor fit is significantly lower in patients with severe depression, implying a loss in circadian rhythmicity when depression is severe.",
keywords = "circadian rhythm, Cosinor analysis, depression, heart rate, wearable device",
author = "Gracia, \{Sofia Perez\} and Sara Siddi and Nicholas Cummins and Srinivasan Vairavan and Faith Matcham and Haro, \{Josep Maria\} and Matthew Hotopf and Femke Lamers and Brenda Penninx and Richard Dobson and Vaibhav Narayan and Raquel Bailon and Yebra, \{Alba Martin\}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 13th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2024 ; Conference date: 23-10-2024 Through 25-10-2024",
year = "2024",
doi = "10.1109/ESGCO63003.2024.10767058",
language = "English",
series = "2024 13th Conference of the European Study Group on Cardiovascular Oscillations: Physiologically-Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations, ESGCO 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 13th Conference of the European Study Group on Cardiovascular Oscillations",
address = "United States",
}