Autonomic modulation during a cognitive task using a wearable device

"Heart-brain interaction is by nature bidirectional, and then, it is sensible to expect the heart, via the autonomic nervous system (ANS), to induce changes in the brain. Respiration can originate differentiated ANS states reflected by HRV. In this work, we measured the changes in performance d...

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Detalles Bibliográficos
Autores principales: Bonomini, Maria Paula, Val-Calvo, Mikel, Díaz-Morcillo, Alejandro, Ferrández Vicente, José Manuel, Fernández-Jover, Eduardo
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
COGNICION 
SISTEMA NERVIOSO
RITMO CARDIACO
TIEMPO DE RESPUESTA
MODULACION
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1803
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1803
record_format dspace
spelling I32-R138-123456789-18032022-12-07T14:14:01Z Autonomic modulation during a cognitive task using a wearable device Bonomini, Maria Paula Val-Calvo, Mikel Díaz-Morcillo, Alejandro Ferrández Vicente, José Manuel Fernández-Jover, Eduardo COGNICION  SISTEMA NERVIOSO RITMO CARDIACO TIEMPO DE RESPUESTA MODULACION "Heart-brain interaction is by nature bidirectional, and then, it is sensible to expect the heart, via the autonomic nervous system (ANS), to induce changes in the brain. Respiration can originate differentiated ANS states reflected by HRV. In this work, we measured the changes in performance during a cognitive task due to four autonomic states originated by breath control: at normal breathing (NB), fast breathing (FB), slow breathing (SB) and control phases. ANS states were characterized by temporal (SDNN) and spectral (LF and HF power) HRV markers. Cognitive performance was measured by the response time (RT) and the success rate (SR). HRV parameters were acquired with the wristband Empatica E4. Classification was accomplished, firstly, to find the best ANS variables that discriminated the breathing phases (BPH) and secondly, to find whether ANS parameters were associated to changes in RT and SR. In order to compensate for possible bias of the test sets, 1000 classification iterations were run. The ANS parameters that better separated the four BPH were LF and HF power, with changes about 300% from controls and an average classification rate of 59.9%, a 34.9% more than random. LF and HF explained RT separation for every BPH pair, and so was HF for SR separation. The best RT classification was 63.88% at NB vs SB phases, while SR provided a 73.39% at SB vs NB phases. Results suggest that breath control could show a relation with the efficiency of certain cognitive tasks. For this goal the Empatica wristband together with the proposed methodology could help to clarify this hypothesis." 2019-10-23T18:19:47Z 2019-10-23T18:19:47Z 2019 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 0302-9743 http://ri.itba.edu.ar/handle/123456789/1803 en info:eu-repo/semantics/altIdentifier/doi.org/10.1007/978-3-030-19591-5_8 info:eu-repo/grantAgreement/Fundación Séneca/Ayudas a Grupos de Excelencia/SP. Murcia application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic COGNICION 
SISTEMA NERVIOSO
RITMO CARDIACO
TIEMPO DE RESPUESTA
MODULACION
spellingShingle COGNICION 
SISTEMA NERVIOSO
RITMO CARDIACO
TIEMPO DE RESPUESTA
MODULACION
Bonomini, Maria Paula
Val-Calvo, Mikel
Díaz-Morcillo, Alejandro
Ferrández Vicente, José Manuel
Fernández-Jover, Eduardo
Autonomic modulation during a cognitive task using a wearable device
topic_facet COGNICION 
SISTEMA NERVIOSO
RITMO CARDIACO
TIEMPO DE RESPUESTA
MODULACION
description "Heart-brain interaction is by nature bidirectional, and then, it is sensible to expect the heart, via the autonomic nervous system (ANS), to induce changes in the brain. Respiration can originate differentiated ANS states reflected by HRV. In this work, we measured the changes in performance during a cognitive task due to four autonomic states originated by breath control: at normal breathing (NB), fast breathing (FB), slow breathing (SB) and control phases. ANS states were characterized by temporal (SDNN) and spectral (LF and HF power) HRV markers. Cognitive performance was measured by the response time (RT) and the success rate (SR). HRV parameters were acquired with the wristband Empatica E4. Classification was accomplished, firstly, to find the best ANS variables that discriminated the breathing phases (BPH) and secondly, to find whether ANS parameters were associated to changes in RT and SR. In order to compensate for possible bias of the test sets, 1000 classification iterations were run. The ANS parameters that better separated the four BPH were LF and HF power, with changes about 300% from controls and an average classification rate of 59.9%, a 34.9% more than random. LF and HF explained RT separation for every BPH pair, and so was HF for SR separation. The best RT classification was 63.88% at NB vs SB phases, while SR provided a 73.39% at SB vs NB phases. Results suggest that breath control could show a relation with the efficiency of certain cognitive tasks. For this goal the Empatica wristband together with the proposed methodology could help to clarify this hypothesis."
format Ponencias en Congresos
acceptedVersion
author Bonomini, Maria Paula
Val-Calvo, Mikel
Díaz-Morcillo, Alejandro
Ferrández Vicente, José Manuel
Fernández-Jover, Eduardo
author_facet Bonomini, Maria Paula
Val-Calvo, Mikel
Díaz-Morcillo, Alejandro
Ferrández Vicente, José Manuel
Fernández-Jover, Eduardo
author_sort Bonomini, Maria Paula
title Autonomic modulation during a cognitive task using a wearable device
title_short Autonomic modulation during a cognitive task using a wearable device
title_full Autonomic modulation during a cognitive task using a wearable device
title_fullStr Autonomic modulation during a cognitive task using a wearable device
title_full_unstemmed Autonomic modulation during a cognitive task using a wearable device
title_sort autonomic modulation during a cognitive task using a wearable device
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1803
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AT diazmorcilloalejandro autonomicmodulationduringacognitivetaskusingawearabledevice
AT ferrandezvicentejosemanuel autonomicmodulationduringacognitivetaskusingawearabledevice
AT fernandezjovereduardo autonomicmodulationduringacognitivetaskusingawearabledevice
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