Exploring machine learning techniques for aerobic system analysis with applicability for cardiorespiratory rehabilitation programs

• Grant number: 17/09639-5
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2017
• End date: April 30, 2021
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Aparecida Maria Catai
• Grantee: Thomas Beltrame
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 18/19016-8 - Associations between aerobic power and fitness, BE.EP.PD

Abstract

The study of the aerobic system integrated responses during physical activities is of great interest for rehabilitation and training programs. The main objective of this research project is to explore machine learning techniques to model/understand the aerobic system responses by the integration of multiple biological signals during dynamics exercise. Forty young healthy participant of both sexes and variable aerobic power will be recruited for this study. Participants will perform a pseudorandom binary sequence protocol followed by a cardiopulmonary test. During these exercise protocols, biological signals obtained from, among others, near-infrared spectroscopy and photoplethysmography will be used as inputs to machine learning algorithms. These algorithms will be used to model the inter-relationship between the biological signals into general rules in order to build a general description of the aerobic response. Machine learning algorithms include tree decision and artificial neural networks. The aerobic system modeling may allow us to identify physiological events that are related to physiological reserve (such as, the speed of the aerobic system adjustment during exercise transitions) that would impact physical capacity and general health. Therefore, technologies that monitor key physiological events may have the potential to detect changes in aerobic power, allowing "real-time" adjustments of rehabilitation and training programs. (AU)

Scientific publications

(7)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

FRADE, MARIA CECILIA MORAES; BELTRAME, THOMAS; GOIS, MARIANA DE OLIVEIRA; PINTO, ALLAN; TONELLO, SILVIA CRISTINA GARCIA DE MOURA; TORRES, RICARDO DA SILVA; CATAI, APARECIDA MARIA; JAAFAR, ZULKARNAIN. Toward characterizing cardiovascular fitness using machine learning based on unobtrusive data. PLoS One, v. 18, n. 3, p. 18-pg., 2023-03-02. (18/19016-8, 16/22215-7, 17/09639-5, 18/22818-9, 19/16253-1)

BELTRAME, THOMAS; GOIS, MARIANA OLIVEIRA; HOFFMANN, UWE; KOSCHATE, JESSICA; HUGHSON, RICHARD LEE; MORAES FRADE, MARIA CECILIA; LINARES, STEPHANIE NOGUEIRA; TORRES, RICARDO DA SILVA; CATAI, APARECIDA MARIA. Relationship between maximal aerobic power with aerobic fitness as a function of signal-to-noise ratio. Journal of Applied Physiology, v. 129, n. 3, p. 522-532, SEP 2020. (18/19016-8, 16/22215-7, 17/09639-5)

G.A.M. GALDINO; S.C.G. MOURA-TONELLO; S.N. LINARES; J.C. MILAN-MATTOS; D.L. SPAVIERI JR.; S.M. OLIVEIRA; A. PORTA; T. BELTRAME; A.M. CATAI. Intracranial compliance in type 2 diabetes mellitus and its relationship with the cardiovascular autonomic nervous control. Brazilian Journal of Medical and Biological Research, v. 55, 2022-09-12. (17/09639-5, 10/52070-4)

LINARES, STEPHANIE NOGUEIRA; BELTRAME, THOMAS; FERRARESI, CLEBER; GALDINO, GABRIELA AGUIAR MESQUITA; CATAI, APARECIDA MARIA. Photobiomodulation effect on local hemoglobin concentration assessed by near-infrared spectroscopy in humans. Lasers in Medical Science, v. 35, n. 3, p. 641-649, APR 2020. (18/19016-8, 13/07953-3, 17/09639-5)

GALDINO, G. A. M.; MOURA-TONELLO, S. C. G.; LINARES, S. N.; MILAN-MATTOS, J. C.; SPAVIERI JR, D. L.; OLIVEIRA, S. M.; PORTA, A.; BELTRAME, T.; CATAI, A. M.. Intracranial compliance in type 2 diabetes mellitus and its relationship with the cardiovascular autonomic nervous control. Brazilian Journal of Medical and Biological Research, v. 55, n. 1, p. 12-pg., 2022-01-01. (17/09639-5, 10/52070-4)

BRUSACA, LUIZ AUGUSTO; BARBIERI, DECHRISTIAN FRANCA; BELTRAME, THOMAS; MILAN-MATTOS, JULIANA CRISTINA; CATAI, APARECIDA MARIA; OLIVEIRA, ANA BEATRIZ. Cardiac autonomic responses to different tasks in office workers with access to a sit-stand table - a study in real work setting. ERGONOMICS, v. 64, n. 3, p. 354-365, MAR 4 2021. (12/24502-2, 18/06359-4, 18/19016-8, 17/09639-5, 19/25140-6)

LINARES, STEPHANIE N.; BELTRAME, THOMAS; GALDINO, GABRIELA A. M.; FRADE, MARIA CECILIA M.; MILAN-MATTOS, JULIANA C.; GOIS, MARIANA O.; BORGHI-SILVA, AUDREY; DE BIASE, PRISCILA F.; MANCHADO-GOBATTO, FULVIA B.; BAGNATO, VANDERLEI S.; et al. Dose Response Effect of Photobiomodulation on Hemodynamic Responses and Glucose Levels in Men with Type 2 Diabetes: A Randomized, Crossover, Double-Blind, Sham-Controlled Trial. PHOTONICS, v. 9, n. 7, p. 15-pg., 2022-07-01. (17/09639-5, 13/07953-3)