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ORCIDFelipe Meneguitti Dias
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2020 – today
- 2024
[i4]Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro
, José Eduardo Krieger, Marco A. Gutierrez:
Exploring the limitations of blood pressure estimation using the photoplethysmography signal. CoRR abs/2404.16049 (2024)- 2023
- [j5]Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez:
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment. IEEE Access 11: 57934-57950 (2023) - [j4]Felipe Meneguitti Dias, Estela Ribeiro, Ramon Alfredo Moreno, Adèle Helena Ribeiro, Nelson Samesima, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez:
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization. IEEE Access 11: 121739-121752 (2023) - [c4]Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data. CinC 2023: 1-4 - [i3]Felipe Meneguitti Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices. CoRR abs/2307.08766 (2023) - [i2]Filipe A. C. Oliveira, Felipe Meneguitti Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Douglas A. Almeida, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features. CoRR abs/2308.01930 (2023) - [i1]Douglas A. Almeida, Felipe Meneguitti Dias, Marcelo A. F. Toledo, Diego Armando Cardona Cárdenas, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez:
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals. CoRR abs/2308.05759 (2023) - 2022
- [c3]Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez:
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal. CinC 2022: 1-4 - [c2]Ramon Alfredo Moreno, Felipe Meneguitti Dias, Marcelo A. F. Arruda, Filipe Oliveira, Thiago Bulhões da Silva Costa, José Eduardo Krieger, Marco A. Gutierrez:
IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure. SIoT 2022: 1-4 - 2021
- [j3]Felipe Meneguitti Dias, Henrique L. M. Monteiro, Thales Wulfert Cabral, Rayen Naji, Michael Kuehni, Eduardo José da S. Luz:
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm. Comput. Methods Programs Biomed. 202: 105948 (2021) - [c1]Felipe Meneguitti Dias, Nelson Samesima, Adèle Helena Ribeiro, Ramon Alfredo Moreno, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez:
2D Image-Based Atrial Fibrillation Classification. CinC 2021: 1-4 - 2020
- [j2]Aurelio G. Melo, Milena F. Pinto, Leonardo de Mello Honório, Felipe Meneguitti Dias, Juliano Emir Nunes Masson:
3D Correspondence and Point Projection Method for Structures Deformation Analysis. IEEE Access 8: 177823-177836 (2020) - [j1]Vinicius F. Vidal, Leonardo de Mello Honório, Felipe Meneguitti Dias, Milena F. Pinto, Alexandre L. Carvalho, André Luís Marques Marcato:
Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection. Sensors 20(14): 4042 (2020)
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