Pedro Miguel Rodrigues

Assistant Professor

Pedro Miguel Rodrigues

Assistant Professor

Generic Bio

He holds a PhD in Biomedical Engineering from the University of Porto and a MSc and BSc in Biomedical Engineering from the Polytechnic Institute of Bragança. He is an Assistant Professor at the Escola Superior de Biotecnologia, where he is the Co-coordinator of the Bioengineering Degree and the Coordinator of the Data Science in Biomedicine Postgraduation Program. He teaches courses in signal processing, digital electronics, computer programming and machine learning. His areas of research and interest focus on the application of automatic signal/image processing and artificial intelligence techniques in the diagnosis of neurodegenerative, cardiac and speech diseases.

Areas of Research:

Publications

Paper

Cardiovascular Diseases Diagnosis Using an ECG Multi-Band Non-Linear Machine Learning Framework Analysis

Pedro Miguel Rodrigues (with Pedro Ribeiro). 2024. Bioengineering

Research Grant - Project LESSisMORE - BI-3

Investigadora da Universidade Católica é uma das investigadoras mais citadas do mundo (pelo quinto ano consecutivo)

Cerimónia de Bênção e Entrega de Diplomas aos graduados das Licenciaturas

Pedro Miguel Rodrigues

Pedro Miguel Rodrigues

Generic Bio

Cardiovascular Diseases Diagnosis Using an ECG Multi-Band Non-Linear Machine Learning Framework Analysis

Classification of Sleep Quality and Aging as a Function of Brain Complexity: A Multiband Non-Linear EEG Analysis

Evaluation of the responsiveness pattern to caffeine through a smart data-driven ECG non-linear multi-band analysis

Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity

Shelf-Life Management and Ripening Assessment of ‘Hass’ Avocado (<i>Persea americana</i>) Using Deep Learning Approaches

Shelf-Life Management and Ripening Assessment of ‘Hass’ Avocado (Persea americana) Using Deep Learning Approaches

A internet das coisas como uma ferramenta auxiliar no ensino superior

A Systematic Review of Natural Products for Skin Applications: Targeting Inflammation, Wound Healing, and Photo-aging

CAIDE, EEG and cognitive status

CAIDE, EEG and cognitive status

Ciência de Dados, o pacemaker da nova Revolução Biotecnológica

Classification of Severity of COVID-19 Patients Based on the Heart Rate Variability

Correlação entre Risco de Demência e Efeito de Desaceleração nos Sinais EEG

COVID-19 Detection Based on ECG Processing. Encyclopedia.

COVID-19 Detection by Means of ECG, Voice, and X-ray Computerized Systems: A Review

Detecção da Doença de Alzheimer através de Parâmetros Não-Lineares de Sinais de Fala

Detecção da Doença de Alzheimer através de Parâmetros Não-Lineares de Sinais de Fala

Development of a smart tool for avocado fruits (Persea americana) ripening evaluation, shelf-life management and waste reduction

Editorial: Advances in machine learning approaches and technologies for supporting nervous system disease diagnosis

Enhancing Health and Public Health through Machine Learning: Decision Support for Smarter Choices

Evaluation of ECG Non-linear Features in Time-Frequency Domain for the Discrimination of COVID-19 Severity Stages

gBIOT - Nutraceutical biopolymeric-biocatalytic microbot against gut inflammatory disorders

Health and Public Health Applications for Decision Support Using Machine Learning

Method for obtaining an indicator of presence for Alzheimer's disease using EEG signals

SOLL as an Auxiliary Teaching and Learning ToolCase Study in Higher Education

SOLL as an Auxiliary Teaching and Learning Tool—Case Study in Higher Education

Structural MRI Texture Analysis for Detecting Alzheimer's Disease

Training Strategies for Covid-19 Severity Classification

COVID-19 activity screening by a smart-data-driven multi-band voice analysis

DETEÇÃO PRECOCE DAS DOENÇAS DE ALZHEIMER E PARKINSON

Distinction of Different Colony Types by a Smart-Data-Driven Tool

Early detection of Alzheimer's and Parkinson's diseases using multiband nonlinear EEG analysis.

Early detection of Alzheimer’s and Parkinson’s diseases using multiband nonlinear EEG analysis.

EEG and ECG nonlinear and spectral multiband analysis to explore the effect of videogames against anxiety

EEG wavelet packet power spectrum tool for checking alzheimer's disease progression

Image Analysis Semi-Automatic System for Colony-Forming-Unit Counting

Petri dishes digital images dataset of e.coli, s.aureus and p.aeruginosa.

Smart-Data-Driven System for Alzheimer Disease Detection through Electroencephalographic Signals

Validation of Psychophysiological Measures for Caffeine Oral Films Characterization by Machine Learning Approaches

β-glucans derived from mushroom Coriolus versicolor for applications on skin wound healing

A low-cost web platform for neuro-disorders diagnosis

Artificial Intelligence System for the Automatic Detection of Alzheimer Disease through Electroencephalographic Signals

Desenvolvimento Preliminar de um Algoritmo de Detecção em Tempo Real de Estados Emocionais através de Redes Neurais Convolucionais

Detection of cardiomyopathy activity through deep learning algorithms

Detection of Myocardial infarction activity through Convolution Neural Networks

Diferenciação entre Edema de Reinke e Nódulos Vocais através de Parâmetros Não-Lineares da Voz

Early Detection of Electroencephalogram Temporal Events in Alzheimer's Disease

Electroencephalogram Signal Analysis in Alzheimer's Disease Early Detection

Lacsogram

Lacsogram: A New EEG Tool to Diagnose Alzheimer's Disease

Machine learning models for automatic detection of Alzheimer's Disease using Magnetic Resonance Imaging (MRI)

Petri dishes digital images dataset of e.coli, s.aureus and p.aeruginosa.

Right Bundle Branch Block detection by Convolution Neural Networks

Right bundle branch block detection by convolution neural networks

Uma Análise do Método Cepstral de Cancelamento de Realimentação Acústica

Voice Disorders Detection Through Multiband Cepstral Features of Sustained Vowel

Analysis of Acoustic Feedback Cancellation Systems based on Direct Closed-Loop Identification

Desenvolvimento Preliminar de um Algoritmo de Reconhecimento Facial em Tempo Real através de Redes Neurais Convolucionais

Detecção da Doença de Alzheimer em Diferentes Estágios através do Espectro de Potências da Wavelet Packet de Sinais EEG

Detecção de Distúrbios Vocais através de Parâmetros Cepstrais Multibanda de Vogal Sustentada

Detecção Precoce das Doenças de Alzheimer e Parkinson através de Parâmetros Não-Lineares Multibanda de Sinais EEG

Discrimination between neurological and laryngeal pathologies through voiced speech analysis

Heart Disease Detection Using ECG Lead I and Multiple Pattern Recognition Classifiers

Non-linear Multiband EEG signal analysis for detecting Alzheimer and Parkinson

Parkinson disease early detection using EEG channels cross-correlation

Avaliação da Capacidade Discriminante de Distribuições da Proeminência do Pico Cepstral para Identificar Nódulos Vocais

Evaluation of lead i ECG features discriminant power for cardiac diseases identification

Algoritmo para o Fator de Esquecimento do Método Cepstral de Cancelamento de Realimentação Acústica

Deteção automática de padrões em sinais Eletrocardiográficos para auxiliar o diagnóstico de doenças cardíacas

Deteção automática de padrões em sinais Eletrocardiográficos para auxiliar o diagnóstico de doenças cardı́acas

Electroencephalogram Hybrid Method for Alzheimer Early Detection

Electroencephalogram Signal Analysis in Alzheimer's Disease Early Detection

Early Detection of Electroencephalogram Temporal Events in Alzheimer's Disease

Alzheimer's Early Prediction with Electroencephalogram

SOLL as an Auxiliary Teaching and Learning ToolCase Study in Higher Education