Gracia, SP;
Siddi, S;
Cummins, N;
Vairavan, S;
Matcham, F;
Haro, JM;
Hotopf, M;
... Yebra, AM; + view all
(2024)
Assessment of heart rate circadianity alterations in patients with depression using a wearable device.
In:
2024 13th Conference of the European Study Group on Cardiovascular Oscillations: Physiologically-Guided Signal Processing of Cardiovascular and Cerebrovascular Oscillations, ESGCO 2024.
(pp. pp. 1-2).
IEEE: Zaragoza, Spain.
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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.
Type: | Proceedings paper |
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Title: | Assessment of heart rate circadianity alterations in patients with depression using a wearable device |
Event: | 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) |
Dates: | 23 Oct 2024 - 25 Oct 2024 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ESGCO63003.2024.10767058 |
Publisher version: | https://doi.org/10.1109/esgco63003.2024.10767058 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Heart rate, Mood, Fitting, Modulation, Europe, Depression, Circadian rhythm, Wearable devices, Oscillators, Diseases |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10204636 |
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