Felipe Meneguitti Dias

About Felipe Meneguitti Dias

Felipe Meneguitti Dias, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Universidade de São Paulo, specializes in the field of Biomedical Signal Processing, Signal Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring the limitations of blood pressure estimation using the photoplethysmography signal

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

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

Explainable AI in Deep Learning-based Detection of Aortic Elongation on Chest X-ray Images

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

Machine learning-based diabetes detection using photoplethysmography signal features

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

Deep Learning Approach for Detection of Atrial Fibrillation and Atrial Flutter Based on ECG Images

Felipe Meneguitti Dias Information

University

Position

Heart Institute - InCor-HCFMUSP

Citations(all)

177

Citations(since 2020)

175

Cited By

18

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Felipe Meneguitti Dias Skills & Research Interests

Biomedical Signal Processing

Signal Processing

Machine Learning

Top articles of Felipe Meneguitti Dias

Exploring the limitations of blood pressure estimation using the photoplethysmography signal

arXiv preprint arXiv:2404.16049

2024/4/9

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

Authorea Preprints

2023/10/31

Felipe Meneguitti Dias
Felipe Meneguitti Dias

H-Index: 2

Marco Antonio Gutierrez
Marco Antonio Gutierrez

H-Index: 14

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

2023/10/1

Explainable AI in Deep Learning-based Detection of Aortic Elongation on Chest X-ray Images

medRxiv

2023

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

arXiv preprint arXiv:2308.05759

2023/8/7

Machine learning-based diabetes detection using photoplethysmography signal features

arXiv preprint arXiv:2308.01930

2023/8/2

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

arXiv preprint arXiv:2307.08766

2023/7/17

Deep Learning Approach for Detection of Atrial Fibrillation and Atrial Flutter Based on ECG Images

2023/6/27

Blood pressure estimation from photoplethysmography by considering intra-and inter-subject variabilities: guidelines for a fair assessment

Ieee Access

2023/6/9

Harmonic and Interharmonic Estimation Based on Re-Sampling and IpDFT Methods

2023/3/14

Can Deep Learning Models Differentiate Atrial Fibrillation from Atrial Flutter?

medRxiv

2023

Felipe Meneguitti Dias
Felipe Meneguitti Dias

H-Index: 2

Marco Antonio Gutierrez
Marco Antonio Gutierrez

H-Index: 14

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

2022/10/24

Interpolação em Tempo Real e Método IpDFT para Estimativa de Harmônicas e Inter-harmônicas

Congresso Brasileiro de Automática-CBA

2022/10/19

A machine learning approach to predict arterial blood pressure from photoplethysmography signal

2022/9/4

Islanding detection based on impedance estimation using small signal injection

International Journal of Electrical Power & Energy Systems

2022/7/1

2d image-based atrial fibrillation classification

2021/9/13

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

Computer Methods and Programs in Biomedicine

2021/4/1

Felipe Meneguitti Dias
Felipe Meneguitti Dias

H-Index: 2

3D correspondence and point projection method for structures deformation analysis

IEEE access

2020/9/28

Sensors fusion and multidimensional point cloud analysis for electrical power system inspection

Sensors

2020/7/21

Localização de Fontes Harmônicas em Sistemas Elétricos Através de Inteligência Computacional e Estatística de Ordem Superior

Simpósio Brasileiro de Sistemas Elétricos-SBSE

2020

See List of Professors in Felipe Meneguitti Dias University(Universidade de São Paulo)

Co-Authors

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