Mental stress detection using cardiorespiratory wavelet cross-bispectrum
Resumen: In this work quadratic phase coupling between respiration and heart rate variability (HRV) has been studied during emotional and mental stress using wavelet crossbispectrum (WCB). A total of 80 healthy volunteers subjected to a standard stress protocol have been analyzed. Some features derived from the WCB, such as the frequencies at which the maximum peak is located, the distribution of the dominant peaks and the phase entropy have shown statistical significant differences between stress and relax stages. A support vector machine classifier based on these features discriminates stress stages from relax ones with an accuracy ranging from 68 to 89%, suggesting that the interactions between respiration and HRV are altered during stress and may be used to assess it.
Idioma: Inglés
Año: 2016
Publicado en: Computing in Cardiology 43 (2016), 725-728
ISSN: 2325-8861

Originalmente disponible en: Texto completo de la revista

Financiación: info:eu-repo/grantAgreement/ES/DGA/Grupo Consolidado BSICoS
Financiación: info:eu-repo/grantAgreement/ES/FIS/PI12-00514
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R
Financiación: info:eu-repo/grantAgreement/ES/UZ/UZ2014-TEC-01
Tipo y forma: Article (Published version)
Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Exportado de SIDERAL (2021-01-25-14:37:51)

Este artículo se encuentra en las siguientes colecciones:

 Record created 2017-10-26, last modified 2021-01-25

Versión publicada:
Rate this document:

Rate this document:
(Not yet reviewed)