Filipe A. C. Oliveira

According to our database, Filipe A. C. Oliveira authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Non-invasive Blood Glucose Estimation: an Approach Using Multi-Wavelength PPG Signals and Residual Neural Networks.

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

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

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