4 documents found, page 1 of 1
Machine learning-based cardiac activity non-linear analysis for discriminating ...
Ribeiro, Pedro; Marques, João Alexandre Lobo; Pordeus, Daniel; Zacarias, Laíla; Leite, Camila Ferreira; Sobreira-Neto, Manoel AlvesObjective: This study highlights the potential of an Electrocardiogram (ECG) as a powerful tool for early diagnosis of COVID-19 in critically ill patients with limited access to CT–Scan rooms. Methods: In this investigation, 3 categories of patient status were considered: Low, Moderate, and Severe. For each patient, 2 different body positions have been used to collect 2 ECG signals. Then, from each collected si...
Desenvolvimento de um aplicativo web educacional para auxiliar no ensino remoto...
Freitas, Adriel de Oliveira; Madeiro, João Paulo do Vale; Pereira, Marciel Barros; Rodrigues, Alane Teixeira; Pinto, Vandilberto PereiraThe COVID-19 pandemic contributed to the cancellation of face-to-face classes at universities around the world. As a result, educational institutions had to radically remodel their teaching-learning techniques, taking into account the use of remote teaching tools and platforms. One of the main problems faced by public institutions is the digital inclusion of students in situations of economic vulnerability. The...
Sistema automático para análise de variabilidade da freqüencia cardíaca
Madeiro, João Paulo do ValeThis dissertation describes a system for analysis of heart rate variability through metrics on time and frequency domain and by non-linear methodology, which is initiated by the process of segmentation of the QRS complex of the electrocardiogram signal. The motivation for this work is the analysis of the influence from the algorithms of beat segmentation and selection of valid cardiac cycles for the variability...
Detecção e segmentação automática de batimentos cardíacos do eletrocardiograma ...
Madeiro, João Paulo do ValeA utomatic diagnostic aid systems aim the extraction of speci c parameters in order to support the analysis of a patient's physiological conditions possibly using computing algorithms. In the context of cardiology, such systems are particularly important when applied over long-term ECG signals, for example the 24-h holter examinations. The digital signal processing techniques for ECG waves segmentation and auto...