Mariusz Pelc

Senior Lecturer

University of Greenwich

United Kingdom

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About

Dr. Mariusz Pelc is a Senior Lecturer at the University of Greenwich, UK. His research focuses on affective computing, medical applications of fNIRS signals, and the development of novel biopolymers for biomedical use. Recent publications include studies on machine learning in signal analysis, patient monitoring systems, and brain-computer interface technologies.

Articles (12)

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2025

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2024

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (13)

Martin Pies

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Opole University

POLAND

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Jan Velicka

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Rene Jaros

VSB - Technical University of Ostrava

CZECH REPUBLIC

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Michal Podpora

Opole University

POLAND

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Jacek Budzyński

MD, PhD, lecturer/Prof.

Nicolaus Copernicus University in Toruń, The Ludwik Rydygier Collegium Medicum in Bydgoszcz

POLAND

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Aleksandra Kawala-Sterniuk

Opole University

POLAND

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Jaroslaw Zygarlicki

Opole University

POLAND

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Mariusz Pelc

Research Interests

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About

Articles (12)

Decoding Emotions from fNIRS: A Survey on Tensor-Based Approaches in Affective Computing and Medical Applications

A Review of Patient Bed Sensors for Monitoring of Vital Signs

Machine Learning-based Filtering system for fNIRS Signals’ Analysis Purpose

Smart network anomaly detection software architecture for network-enabled ubiquitous devices

Implementation of a Morphological Filter for Removing Spikes from the Epileptic Brain Signals to Improve Identification Ripples

Multifunctional Modified Chitosan Biopolymers for Dual Applications in Biomedical and Industrial Field: Synthesis and Evaluation of Thermal, Chemical, Morphological, Structural, In Vitro Drug-Release Rate, Swelling and Metal Uptake Studies

Initial Study on COMT and DRD2 Gene Polymorphisms as Well as the Influence of Temperament and Character Trait on the Severity of Alcohol Craving in Alcohol-Dependent Patients

Comparison of Smoothing Filters’ Influence on Quality of Data Recorded with the Emotiv EPOC Flex Brain–Computer Interface Headset during Audio Stimulation

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

Comparison of smoothing filters in analysis of eeg data for the medical diagnostics purposes

Implementation of smoothing filtering methods: For the purpose of improvement inverted Pendulum's trajectory

The effect that auditory distractions have on a visual p300 speller while utilizing low-cost off-the-shelf equipment

Collaborators (13)

Martin Pies

Anna Długosz

Piotr Walecki

Dariusz Mikołajewski

Adam Sudoł

Jan Nedoma

Monika Błaszczyszyn

Jan Velicka

Rene Jaros

Michal Podpora

Jacek Budzyński

Aleksandra Kawala-Sterniuk

Jaroslaw Zygarlicki

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