Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE: IGOR LOPES SOUZA
DATA: 19/12/2023
HORA: 09:00
LOCAL: Sala de seminários
TÍTULO: Acquisition of electrocardiogram signals and cardiac arrhythmia detection using neural networks
PALAVRAS-CHAVES: electrocardiography, ECG, acquisition, classification
PÁGINAS: 49
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
SUBÁREA: Sistemas de Computação
ESPECIALIDADE: Hardware
RESUMO:

Electrocardiography is a frequently used examination technique for heart disease diagnosis. Represented by the test called an electrocardiogram (ECG), electrocardiography is essential in the clinical evaluation of athletes, risk patients who need surgery, and also those who have heart disease. Through electrocardiography, doctors can identify whether the cardiac muscle dysfunctions presented by the patient are of inflammatory or degenerative origin and early diagnose serious diseases that primarily affect the blood vessels and the brain. Thus, the objective of this project is to develop a prototype capable of capturing, analyzing, and classifying a patient's electrocardiogram signals for the detection and prevention of cardiac arrhythmia in clinical patients.

MEMBROS DA BANCA:
Presidente - 1979373 - DANIEL OLIVEIRA DANTAS
Interno - 1194034 - LEONARDO NOGUEIRA MATOS
Externo ao Programa - 2626357 - ELYSON ADAN NUNES CARVALHO