Szczepan Paszkiel

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Opole University

Poland

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Recent Grants

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Pilot studies of the application of a training system based on motor imagery in the field of real object control

Open Date: 2021-08-01

Close Date: 2022-08-01

Grant: Close

The use of brain-computer interfaces in automation and robotics, works developing the field of science which is neuroinformatics

Open Date: 2013-10-01

Close Date: 2019-09-01

Articles (11)

Year:

2024

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Maria António Castro

Polytechnic Institute of Bragança

PORTUGAL

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Joel Marouvo

Assistant Professor

Escola Superior de Saúde Cruz Vermelha Portuguesa - Alto Tâmega

PORTUGAL

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Szczepan Paszkiel

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (11)

Identification and Expert Approach to Controlling the Cement Grinding Process Using Artificial Neural Networks and Other Non-Linear Models

BCI Wheelchair Control Using Expert System Classifying EEG Signals Based on Power Spectrum Estimation and Nervous Tics Detection

Influence of Cognitive Task Difficulty in Postural Control and Hemodynamic Response in the Prefrontal Cortex during Static Postural Standing

Application of EEG Signals Integration to Proprietary Classification Algorithms in the Implementation of Mobile Robot Control with the Use of Motor Imagery Supported by EMG Measurements

The Application of Integration of EEG Signals for Authorial Classification Algorithms in Implementation for a Mobile Robot Control Using Movement Imagery—Pilot Study

Gait Kinematics Analysis of Flatfoot Adults

A Pilot Study of Game Design in the Unity Environment as an Example of the Use of Neurogaming on the Basis of Brain–Computer Interface Technology to Improve Concentration

A Method to Obtain Parameters of One-Column Jansen–Rit Model Using Genetic Algorithm and Spectral Characteristics

Review of solutions for the application of example of machine learning methods for motor imagery in correlation with brain-computer interfaces

The Impact of Different Sounds on Stress Level in the Context of EEG, Cardiac Measures and Subjective Stress Level: A Pilot Study

Brain-computer technology-based training system in the field of motor imagery

Collaborators (2)

Maria António Castro

Joel Marouvo

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