Application of the Big Data concept in the standardization of values of heart rate variability, in health and disease conditions, from the premature to the advanced elderly

• Grant number: 17/12529-7
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Effective date (Start): July 01, 2018
• Effective date (End): June 30, 2021
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Moacir Fernandes de Godoy
• Grantee: Michele Lima Gregório
• Host Institution: Faculdade de Medicina de São José do Rio Preto (FAMERP). Secretaria de Desenvolvimento Econômico (São Paulo - Estado). São José do Rio Preto , SP, Brazil

Abstract

Although the international scientific literature presents a large and growing number of studies using Heart Rate Variability (HRV) as an indirect method of evaluating the functioning of the Autonomic Nervous System (ANS), recent studies with a lot of cases that can be used as a reference for both linear and non-linear indexes and in health and disease conditions, in the different age groups, are non-existent. Objectives: To establish specific reference values for linear and non-linear indexes of HRV, from the newborn to the advanced elderly, in health status and in various disease conditions, from the formation of a database with a "Big Data" concept in which it is possible to count on the information of more than one million data obtained through international scientific publications and of time series obtained during dissertations and theses elaborations from our research group (NUTECC-FAMERP). Methods: Two sets of data will be used: 1) values of mean and standard deviation, and/or median, minimum-maximum and interquartile range of HRV indexes extracted from the available international literature; 2) values obtained from the analysis of the internal database, through theses and dissertations of members and/or collaborators of our research group. Linear (in the time and frequency domains) and nonlinear indexes (domain of chaos/complexity) will be considered. Expectation: We expect to build the largest ever existing information bank about HRV and its reference values, based on "Big Data" concepts that should be a reference for researchers in this area. (AU)

Publicações científicas

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

MAUTARI NIWA, ARACY SATOE; GREGORIO, MICHELE LIMA; VILLACA LEAO, LUIZ EDUARDO; DE GODOY, MOACIR FERNANDES. Heart Rate Variability Assessment and Its Application for Autonomic Function Evaluation in Patients with Hyperhidrosis. EUROPEAN NEUROLOGY, v. 83, n. 3, p. 293-300, AUG 2020. (17/12529-7)

GREGORIO, MICHELE LIMA; LOPES WAZEN, GUILHERME LUIZ; KEMP, ANDREW HADDON; MILAN-MATTOS, JULIANA CRISTINA; PORTA, ALBERTO; CATAI, APARECIDA MARIA; DE GODOY, MOACIR FERNANDES. Research paper Non-linear analysis of the heart rate variability in characterization of manic and euthymic phases of bipolar disorder. Journal of Affective Disorders, v. 275, p. 136-144, OCT 1 2020. (17/12529-7)