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Felipe Meneguitti Dias
Felipe Meneguitti Dias
Heart Institute - InCor-HCFMUSP
Email confirmado em incor.usp.br
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Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm
FM Dias, HLM Monteiro, TW Cabral, R Naji, M Kuehni, EJS Luz
Computer Methods and Programs in Biomedicine 202, 105948, 2021
692021
Compressive sensing in medical signal processing and imaging systems
TW Cabral, M Khosravy, FM Dias, HLM Monteiro, MAA Lima, LRM Silva, ...
Sensors for health monitoring, 69-92, 2019
382019
3D correspondence and point projection method for structures deformation analysis
AG Melo, MF Pinto, LM Honorio, FM Dias, JEN Masson
IEEE access 8, 177823-177836, 2020
232020
Compressive sensing of electrocardiogram
FM Dias, M Khosravy, TW Cabral, HLM Monteiro, LM de Andrade Filho, ...
Compressive sensing in healthcare, 165-184, 2020
132020
Compressive sensing of electroencephalogram: a review
MM de Oliveira, M Khosravy, HLM Monteiro, TW Cabral, FM Dias, ...
Compressive sensing in healthcare, 247-268, 2020
122020
Islanding detection based on impedance estimation using small signal injection
M Mostaro, HLM Monteiro, FM Dias, LRM Silva, CA Duque
International Journal of Electrical Power & Energy Systems 139, 107983, 2022
102022
Sensors fusion and multidimensional point cloud analysis for electrical power system inspection
VF Vidal, LM Honório, FM Dias, MF Pinto, AL Carvalho, ALM Marcato
Sensors 20 (14), 4042, 2020
62020
Blood pressure estimation from photoplethysmography by considering intra-and inter-subject variabilities: guidelines for a fair assessment
TB da Silva Costa, FM Dias, DAC Cardenas, MAF De Toledo, ...
Ieee Access, 2023
52023
2d image-based atrial fibrillation classification
FM Dias, N Samesima, A Ribeiro, RA Moreno, CA Pastore, JE Krieger, ...
2021 Computing in Cardiology (CinC) 48, 1-4, 2021
52021
A machine learning approach to predict arterial blood pressure from photoplethysmography signal
FM Dias, TBS Costa, DAC Cardenas, MAF Toledo, JE Krieger, ...
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
32022
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
FM Dias, E Ribeiro, RA Moreno, AH Ribeiro, N Samesima, CA Pastore, ...
Ieee Access, 2023
12023
Machine learning-based diabetes detection using photoplethysmography signal features
FAC Oliveira, FM Dias, MAF Toledo, DAC Cardenas, DA Almeida, ...
arXiv preprint arXiv:2308.01930, 2023
12023
IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure
R Moreno, F Dias, M Arruda, F Oliveira, T Bulhoes, J Krieger, M Gutierrez
2022 Symposium on Internet of Things (SIoT), 1-4, 2022
12022
Exploring the limitations of blood pressure estimation using the photoplethysmography signal
FM Dias, DAC Cardenas, MAF Toledo, FAC Oliveira, E Ribeiro, ...
arXiv preprint arXiv:2404.16049, 2024
2024
Artificial Intelligence-Driven Screening System for Rapid Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization
FM Dias, E Ribeiro, A Ribeiro, J Krieger, MA Gutierrez
Authorea Preprints, 2023
2023
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data
Q Soares, FM Dias, E Ribeiro, JE Krieger, MA Gutierrez
2023 Computing in Cardiology (CinC) 50, 1-4, 2023
2023
Explainable AI in Deep Learning-based Detection of Aortic Elongation on Chest X-ray Images
E Ribeiro, DAC Cardenas, FM Dias, JE Krieger, MA Gutierrez
medRxiv, 2023.08. 28.23294735, 2023
2023
Predicting Age and Sex from Reduced Lead Electrocardiograms using Deep Learning
F Meneguitti Dias, E Ribeiro, Q Soares, J Krieger, M Antonio Gutierrez
TechRxiv, 2023
2023
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals
DA Almeida, FM Dias, MAF Toledo, DAC Cardenas, FAC Oliveira, ...
arXiv preprint arXiv:2308.05759, 2023
2023
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices
FM Dias, MAF Toledo, DAC Cardenas, DA Almeida, FAC Oliveira, ...
arXiv preprint arXiv:2307.08766, 2023
2023
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