João Paulo do Vale Madeiro
João Paulo do Vale Madeiro
Departamento de Computação, Universidade Federal do Ceará
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An innovative approach of QRS segmentation based on first-derivative, Hilbert and Wavelet Transforms
JPV Madeiro, PC Cortez, JAL Marques, CRV Seisdedos, CRMR Sobrinho
Medical engineering & physics 34 (9), 1236-1246, 2012
A new approach to QRS segmentation based on wavelet bases and adaptive threshold technique
JPV Madeiro, PC Cortez, FI Oliveira, RS Siqueira
Medical engineering & physics 29 (1), 26-37, 2007
Analysis of QRS-T subtraction in unipolar atrial fibrillation electrograms
JL Salinet Jr, JPV Madeiro, PC Cortez, PJ Stafford, G André Ng, ...
Medical & biological engineering & computing 51, 1381-1391, 2013
New approach for T-wave peak detection and T-wave end location in 12-lead paced ECG signals based on a mathematical model
JPV Madeiro, WB Nicolson, PC Cortez, JAL Marques, ...
Medical engineering & physics 35 (8), 1105-1115, 2013
IoT-based smart health system for ambulatory maternal and fetal monitoring
JAL Marques, T Han, W Wu, JP do Vale Madeiro, AVL Neto, R Gravina, ...
IEEE Internet of Things Journal 8 (23), 16814-16824, 2020
Nonlinear characterization and complexity analysis of cardiotocographic examinations using entropy measures
JAL Marques, PC Cortez, JPV Madeiro, VHC de Albuquerque, SJ Fong, ...
The Journal of Supercomputing 76 (2), 1305-1320, 2020
Evaluation of mathematical models for QRS feature extraction and QRS morphology classification in ECG signals
JP do Vale Madeiro, JAL Marques, T Han, RC Pedrosa
Measurement 156, 107580, 2020
Pathophysiological, cardiovascular and neuroendocrine changes in hypertensive patients during the hemodialysis session
OA Gutiérrez-Adrianzén, MEA Moraes, AP Almeida, JWO Lima, ...
Journal of Human Hypertension 29 (6), 366-372, 2015
Heart arrhythmia classification based on statistical moments and structural co-occurrence
NMM Nascimento, LB Marinho, SA Peixoto, JP do Vale Madeiro, ...
Circuits, Systems, and Signal Processing 39 (2), 631-650, 2020
Automatic cardiotocography diagnostic system based on Hilbert transform and adaptive threshold technique
JAL Marques, PC Cortez, JPDV Madeiro, SJ Fong, FS Schlindwein, ...
IEEE Access 7, 73085-73094, 2019
Evaluating Gaussian and Rayleigh-based mathematical models for T and P-waves in ECG
JPV Madeiro, EMB Santos, PC Cortez, JHS Felix, FS Schlindwein
IEEE Latin America Transactions 15 (5), 843-853, 2017
Classical and modern features for interpretation of ECG signal
JP do Vale Madeiro, PC Cortez, JL Salinet Jr, RC Pedrosa, ...
Developments and Applications for ECG Signal Processing, 1-28, 2019
Developments and applications for ECG signal processing: Modeling, segmentation, and pattern recognition
JP do Vale Madeiro, PC Cortez, JMDS Monteiro Filho, ARA Brayner
Academic Press, 2018
On designing a biosignal-based fetal state assessment system: A systematic mapping study
MG da Silva Neto, JP do Vale Madeiro, DG Gomes
Computer Methods and Programs in Biomedicine 216, 106671, 2022
Artificial neural network-based approaches for computer-aided disease diagnosis and treatment
JAL Marques, FNB Gois, JP do Vale Madeiro, T Li, SJ Fong
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data …, 2022
Techniques for noise suppression for ECG signal processing
JP do Vale Madeiro, PC Cortez, JM da Silva Monteiro Filho, ...
Developments and Applications for ECG Signal Processing, 53-87, 2019
Enhancing health and public health through machine learning: decision support for smarter choices
PM Rodrigues, JP Madeiro, JAL Marques
Bioengineering 10 (7), 792, 2023
The issue of automatic classification of heartbeats
PRF Rodrigues, JM da Silva Monteiro Filho, JP do Vale Madeiro
Developments and Applications for ECG Signal Processing, 169-193, 2019
Towards an efficient prognostic model for fetal state assessment
MG da Silva Neto, JP do Vale Madeiro, JAL Marques, DG Gomes
Measurement 185, 110034, 2021
A new methodology for classifying qrs morphology in ecg signals
WL Caldas, JPV Madeiro, CLC Mattos, JPP Gomes
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
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