Association between heart rate variability and salivary cortisol for the evaluation of individuals under stress conditions by means of nonlinear analysis and artificial intelligence methods

• Grant number: 18/03517-8
• Support Opportunities: Regular Research Grants
• Start date: December 01, 2018
• End date: February 28, 2021
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Laurita dos Santos
• Grantee: Laurita dos Santos
• Host Institution: Universidade Brasil. Campus São Paulo. São Paulo , SP, Brazil
• Associated researchers: Elbert Einstein Nehrer Macau ; Joaquim José Barroso de Castro ; Moacir Fernandes de Godoy

Abstract

The nonlinear methods and artifical intelligence tools provide a better understanding of the physiological phenomenon of the autonomic nervous system - ANS (sympathetic and parasympathetic branches). This analyis is made from biological signals obtained noinvasively. However, there is disagreement to assign which specific part of the dynamic from analyzed system is, in terms of the sympathetic and parasympathetic branches. In this context, these tools are apropriate and capable to detect the global behaviour in the dynamics of the biological systems. These methods show different sensitivity and performance according the analysis purpose. The main purpose of this work is to correlate the different nolinear methods and artificial intelligence tools and the dynamic analysis of the autonomic nervous system by the use of the biomedical/biological signals. This relationship can provide specific information relating the method of analysis employed and the physiology for discrimination between the branches of the ANS. This study is important to characterize the dynamical systems with very similar dynamic, such as occur in biological signals groups with different classes of the pathologies or under stress situations. It allows the development of an analysis protocol to quantify situations using time series of the individuals with several ANS changes. (AU)

Scientific publications

(7)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SANTOS, LAURITA DOS; CORREA, DEBORA C.; WALKER, DAVID M.; DE GODOY, MOACIR F.; MACAU, ELBERT E. N.; SMALL, MICHAEL. haracterisation of neonatal cardiac dynamics using ordinal partition networ. MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, v. 60, n. 3, p. 829-842, MAR 2022. (18/03517-8, 15/50122-0)

MIHARA, ANTONIO; ZAKS, MICHAEL; MACAU, ELBERT E. N.; MEDRANO-T, RENE O.. Basin sizes depend on stable eigenvalues in the Kuramoto model. PHYSICAL REVIEW E, v. 105, n. 5, p. 5-pg., 2022-05-05. (15/50122-0, 18/03517-8)

MENESES, ALINE M. D.; AMARAL, MARCELLO M.; DOS SANTOS, LAURITA; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Applicability of Neurometry in Assessing Anxiety Levels in Students. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 5-pg., 2022-01-01. (17/21851-0, 18/03517-8)

MENDES, A. P.; JAROLA, G. M.; OLIVEIRA, L. M. A.; GERHARDT, G. J. L.; RYBARCZYK-FILHO, J. L.; DOS SANTOS, L.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Characterization of Electroencephalogram Obtained During the Resolution of Mathematical Operations Using Recurrence Quantification Analysis. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 7-pg., 2022-01-01. (18/03517-8)

UEBELE, DANIELA T. R.; SOTO, CLAUDIO A. TELLEZ; GALVA, NIERLLY K. A. M.; TIM, CARLA R.; SOBRINHO, ARGEMIRO S. DA SILVA; PESSOA, RODRIGO S.; DOS SANTOS, LAURITA. Ozonizing sunflower oil using Fourier-transform infrared spectroscopy for product characterization. VIBRATIONAL SPECTROSCOPY, v. 123, p. 6-pg., 2022-11-09. (18/01265-1, 19/00558-8, 18/03517-8)

CARVALHO, C. M. S.; MARINELI, A. G. F.; DOS SANTOS, L.; DE FREITAS, A. Z.; AMARAL, M. M.; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. Evaluation of the Heart Rate Variability with Laser Speckle Imaging. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 6-pg., 2022-01-01. (17/21851-0, 18/03517-8)

DALBEM, CASSIANO A. G.; DALBEM, C. M. M. G.; NUNES, J. E. P.; MACEDO, T. C.; ALVES, B. O.; DOS SANTOS, LAURITA; BASTOS-FILHO, TF; CALDEIRA, EMD; FRIZERA-NETO, A. DXA and Bioelectrical Impedance: Evaluative Comparison in Obese Patients in City of Caceres. XXVII BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2020, v. N/A, p. 4-pg., 2022-01-01. (18/03517-8)