Estocastic analysis of the temporal dynamics of cardiac arrhythmias through intermittent recording of an electrocardiogram, for very long time periods

• Grant number: 98/08172-3
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: November 01, 1998
• End date: August 31, 2001
• Field of knowledge: Engineering - Biomedical Engineering - Medical Engineering
• Principal Investigator: Ricardo Geretto Kortas
• Grantee: Ricardo Geretto Kortas
• Company: Kortas Informática Instrumentação Médica Indústria, Comércio Importação e Exportação Ltda
• City: São Paulo

Abstract

Phase 1 of the project aimed to analyze intermittently recorded electrocardiograms (ECG), over a long period of time, in order to obtain a better understanding of the spontaneous variability of the cardiac arrhythmias, with consequent improvements in the estimation of the risk of arrhythmias and in the use of anti-arrhythmia drugs. Subsequently, since this phase enabled the development and implementation of the basic parts of a complete collection system, transmission and analysis of the biological parameters such as electrocardiogram (ECG) and blood pressure (BP), the emphasis changed towards a philosophy of horizontal development where the system is put into a working situation with all of its parts available, and progressively amplified. What remained for the final part of the 2nd phase was the stochastic analysis of the parameters collected over long periods of time. In Brazil, sudden death from cardiac arrhythmia (“cardiac arrest”) is the greatest cause of death in the adult population. The introduction of the Holter exam, in which 24 hours of ECG are continuously recorded in the normal environment of the patient, represented an advance. Nevertheless, a significant part of the ECG information is not utilized. This arises from the failure to analyze day-to-day variations. The proposal is to use the support technology already developed by the company namely digital Holter recorders and software, to analyze the arrhythmias on the ECG, to create a teleprocessing center that will allow ECG monitoring over extended periods of time (more than two weeks), and to improve and test previously studied models of dynamic analysis. (AU)

Scientific publications

(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)

FERREIRA SILVA, NANCY CHRISTIANE; REIS, MARIA DO CARMO M.; POVOA, RUI M. DOS S.; DE PAOLA, ANGELO A. V.; FILHO, BRAULIO LUNA. Ventricular arrhythmias in the Chagas disease are not random phenomena: Long-term monitoring in Chagas arrhythmias. JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, v. 30, n. 11, p. 2370-2376, NOV 2019. (98/08172-3)