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

Ponencia en Congreso:
Autonomic modulation during a cognitive task using a wearable device

dc.contributor.author	Bonomini, Maria Paula
dc.contributor.author	Val-Calvo, Mikel
dc.contributor.author	Díaz-Morcillo, Alejandro
dc.contributor.author	Ferrández Vicente, José Manuel
dc.contributor.author	Fernández-Jover, Eduardo
dc.date.accessioned	2019-10-23T18:19:47Z
dc.date.available	2019-10-23T18:19:47Z
dc.date.issued	2019
dc.description.abstract	"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."	en
dc.identifier.issn	0302-9743
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/1803
dc.language.iso	en	en
dc.relation	info:eu-repo/semantics/altIdentifier/doi.org/10.1007/978-3-030-19591-5_8
dc.relation	info:eu-repo/grantAgreement/Fundación Séneca/Ayudas a Grupos de Excelencia/SP. Murcia
dc.subject	COGNICION	es
dc.subject	SISTEMA NERVIOSO	es
dc.subject	RITMO CARDIACO	es
dc.subject	TIEMPO DE RESPUESTA	es
dc.subject	MODULACION	es
dc.title	Autonomic modulation during a cognitive task using a wearable device	en
dc.type	Ponencias en Congresos	es
dc.type	info:eu-repo/semantics/acceptedVersion
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Bonomini, Maria Paula. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
itba.description.filiation	Fil: Bonomini, Maria Paula. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Val-Calvo, Mikel. Universidad Nacional de Educación a Distancia; España.
itba.description.filiation	Fil: Val-Calvo, Mikel. Universidad Politécnica de Cartagena; España.
itba.description.filiation	Fil: Díaz-Morcillo, Alejandro. Universidad Politécnica de Cartagena; España.
itba.description.filiation	Fil: Ferrández Vicente, José Manuel. Universidad Politécnica de Cartagena; España.
itba.description.filiation	Fil: Fernández-Jover, Eduardo. Universitas Miguel Hernández; España.