Felipe Meneguitti Dias
Orcid: 0000-0001-7778-4606
According to our database1,
Felipe Meneguitti Dias
authored at least 12 papers
between 2020 and 2023.
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Bibliography
2023
A machine-learning sleep-wake classification model using a reduced number of features derived from photoplethysmography and activity signals.
CoRR, 2023
Machine Learning-Based Diabetes Detection Using Photoplethysmography Signal Features.
CoRR, 2023
Quality Assessment of Photoplethysmography Signals For Cardiovascular Biomarkers Monitoring Using Wearable Devices.
CoRR, 2023
Artificial Intelligence-Driven Screening System for Rapid Image-Based Classification of 12-Lead ECG Exams: A Promising Solution for Emergency Room Prioritization.
IEEE Access, 2023
Blood Pressure Estimation From Photoplethysmography by Considering Intra- and Inter-Subject Variabilities: Guidelines for a Fair Assessment.
IEEE Access, 2023
Developing a Machine Learning Pipeline for Predicting Neurological Outcomes in Comatose Cardiac Arrest Survivors Using Continuous EEG Data.
Proceedings of the Computing in Cardiology, 2023
2022
Proceedings of the Symposium on Internet of Things, 2022
A Machine Learning Approach to Predict Arterial Blood Pressure from Photoplethysmography Signal.
Proceedings of the Computing in Cardiology, 2022
2021
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm.
Comput. Methods Programs Biomed., 2021
Proceedings of the Computing in Cardiology, CinC 2021, Brno, 2021
2020
Sensors Fusion and Multidimensional Point Cloud Analysis for Electrical Power System Inspection.
Sensors, 2020
IEEE Access, 2020