Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.

OBJECTIVE: In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. METHODS: PPG recordings of 40 MDD and 40 HC subjec...

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Autores: Kontaxis S, Gil E, Marozas V, Lazaro J, Garcia E, Posadas-de Miguel M, Siddi S, Bernal ML, Aguilo J, Haro JM, De La Camara C, Laguna P, Bailon R
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p18446
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=18446
Access Level:acceso abierto
Palabra clave:Depression monitoring
stress response
PPG pulse decomposition analysis
autonomic nervous system
arterial stiffness
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spelling Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.Kontaxis SGil EMarozas VLazaro JGarcia EPosadas-de Miguel MSiddi SBernal MLAguilo JHaro JMDe La Camara CLaguna PBailon RDepression monitoringstress responsePPG pulse decomposition analysisautonomic nervous systemarterial stiffnessOBJECTIVE: In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. METHODS: PPG recordings of 40 MDD and 40 HC subjects were acquired at basal conditions, during the execution of cognitive tasks, and at the post-task relaxation period. PPG pulses are decomposed into three waves (a main wave and two reflected waves) using a pulse decomposition analysis. Pulse waveform characteristics such as the time delay between the position of the main wave and reflected waves, the percentage of amplitude loss in the reflected waves, and the heart rate (HR) are calculated among others. The intra-subject difference of a feature value between two conditions is used as an index of autonomic reactivity. RESULTS: Statistically significant individual differences from stress to recovery were found for HR and the percentage of amplitude loss in the second reflected wave ( A(13)) in both HC and MDD group. However, autonomic reactivity indices related to A(13) reached higher values in HC than in MDD subjects (Cohen's d =0.81, AUC = 0.74), implying that the stress response in depressed patients is reduced. A statistically significant (p < 0.001) negative correlation (r = 0.5) between depression severity scores and A(13) was found. CONCLUSION: A decreased autonomic reactivity is associated with higher degree of depression. SIGNIFICANCE: Stress response quantification by dynamic changes in PPG waveform morphology can be an aid for the diagnosis and monitoring of depression.IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=18446IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERINGISSN: 00189294ISSNe: 15582531reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p184462026-05-27T12:37:41Z
dc.title.none.fl_str_mv Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
title Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
spellingShingle Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
Kontaxis S
Depression monitoring
stress response
PPG pulse decomposition analysis
autonomic nervous system
arterial stiffness
title_short Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
title_full Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
title_fullStr Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
title_full_unstemmed Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
title_sort Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
dc.creator.none.fl_str_mv Kontaxis S
Gil E
Marozas V
Lazaro J
Garcia E
Posadas-de Miguel M
Siddi S
Bernal ML
Aguilo J
Haro JM
De La Camara C
Laguna P
Bailon R
author Kontaxis S
author_facet Kontaxis S
Gil E
Marozas V
Lazaro J
Garcia E
Posadas-de Miguel M
Siddi S
Bernal ML
Aguilo J
Haro JM
De La Camara C
Laguna P
Bailon R
author_role author
author2 Gil E
Marozas V
Lazaro J
Garcia E
Posadas-de Miguel M
Siddi S
Bernal ML
Aguilo J
Haro JM
De La Camara C
Laguna P
Bailon R
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Depression monitoring
stress response
PPG pulse decomposition analysis
autonomic nervous system
arterial stiffness
topic Depression monitoring
stress response
PPG pulse decomposition analysis
autonomic nervous system
arterial stiffness
description OBJECTIVE: In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. METHODS: PPG recordings of 40 MDD and 40 HC subjects were acquired at basal conditions, during the execution of cognitive tasks, and at the post-task relaxation period. PPG pulses are decomposed into three waves (a main wave and two reflected waves) using a pulse decomposition analysis. Pulse waveform characteristics such as the time delay between the position of the main wave and reflected waves, the percentage of amplitude loss in the reflected waves, and the heart rate (HR) are calculated among others. The intra-subject difference of a feature value between two conditions is used as an index of autonomic reactivity. RESULTS: Statistically significant individual differences from stress to recovery were found for HR and the percentage of amplitude loss in the second reflected wave ( A(13)) in both HC and MDD group. However, autonomic reactivity indices related to A(13) reached higher values in HC than in MDD subjects (Cohen's d =0.81, AUC = 0.74), implying that the stress response in depressed patients is reduced. A statistically significant (p < 0.001) negative correlation (r = 0.5) between depression severity scores and A(13) was found. CONCLUSION: A decreased autonomic reactivity is associated with higher degree of depression. SIGNIFICANCE: Stress response quantification by dynamic changes in PPG waveform morphology can be an aid for the diagnosis and monitoring of depression.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=18446
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=18446
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publisher.none.fl_str_mv IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.none.fl_str_mv IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN: 00189294
ISSNe: 15582531
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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