TY - JOUR
T1 - Mental stress detection using cardiorespiratory wavelet cross-bispectrum
AU - Kontaxis, Spyridon
AU - Lazaro, Jesus
AU - Hernando, Alberto
AU - Arza, Adriana
AU - Garzon, Jorge Mario
AU - Gil, Eduardo
AU - Laguna, Pablo
AU - Aguilo, Jordi
AU - Bailon, Raquel
N1 - Publisher Copyright:
© 2016 CCAL.
PY - 2016/3/1
Y1 - 2016/3/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85016107577&partnerID=8YFLogxK
U2 - 10.22489/cinc.2016.211-454
DO - 10.22489/cinc.2016.211-454
M3 - Article
AN - SCOPUS:85016107577
SN - 2325-8861
VL - 43
SP - 725
EP - 728
JO - Computing in Cardiology
JF - Computing in Cardiology
ER -