Felipe Meneguitti Dias

According to our database, Felipe Meneguitti Dias authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimizing Photoplethysmography-Based Sleep Staging Models by Leveraging Temporal Context for Wearable Devices Applications.

Joseph A. P. Quino, Diego A. C. Cardenas, Marcelo A. F. Toledo, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

CoRR, 2024

Exploring the limitations of blood pressure estimation using the photoplethysmography signal.

Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo A. F. Toledo, Filipe A. C. Oliveira, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

CoRR, 2024

2023

A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.

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

CoRR, 2023

Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.

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

CoRR, 2023

Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices.

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

CoRR, 2023

Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization.

Felipe Meneguitti Dias, Estela Ribeiro, Ramon Alfredo Moreno, Adèle Helena Ribeiro, Nelson Samesima, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez

IEEE Access, 2023

Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment.

Thiago Bulhões da Silva Costa, Felipe Meneguitti Dias, Diego Armando Cardona Cárdenas, Marcelo Toledo, Daniel Mario de Lima, José Eduardo Krieger, Marco Antonio Gutierrez

IEEE Access, 2023

Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data.

Quenaz B. Soares, Felipe Meneguitti Dias, Estela Ribeiro, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Computing in Cardiology, 2023

2022

IoT Medical Device Architecture to Estimate Non-invasive Arterial Blood Pressure.

Ramon Alfredo Moreno, Felipe Meneguitti Dias, Marcelo A. F. Arruda, Filipe Oliveira, Thiago Bulhões da Silva Costa, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Symposium on Internet of Things, 2022

A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.

Felipe Meneguitti Dias, Thiago Bulhões da Silva Costa, Diego Armando Cardona Cárdenas, Marcelo Toledo, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Computing in Cardiology, 2022

2021

Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm.

Felipe Meneguitti Dias, Henrique L. M. Monteiro, Thales Wulfert Cabral, Rayen Naji, Michael Kuehni, Eduardo José da S. Luz

Comput. Methods Programs Biomed., 2021

2D Image-Based Atrial Fibrillation Classification.

Felipe Meneguitti Dias, Nelson Samesima, Adèle Helena Ribeiro, Ramon Alfredo Moreno, Carlos Alberto Pastore, José Eduardo Krieger, Marco A. Gutierrez

Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021

2020

Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection.

Vinicius F. Vidal, Leonardo de Mello Honório, Felipe Meneguitti Dias, Milena F. Pinto, Alexandre L. Carvalho, André Luís Marques Marcato

Sensors, 2020

3D Correspondence and Point Projection Method for Structures Deformation Analysis.

Aurelio G. Melo, Milena F. Pinto, Leonardo de Mello Honório, Felipe Meneguitti Dias, Juliano Emir Nunes Masson

IEEE Access, 2020