| The impact of different sounds on stress level in the context of EEG, cardiac measures and subjective stress level: A pilot study S Paszkiel, P Dobrakowski, A Łysiak Brain sciences 10 (10), 728, 2020 | 80 | 2020 |
| Computer Game in UNITY Environment for BCI Technology S Paszkiel, S Paszkiel Analysis and Classification of EEG Signals for Brain–Computer Interfaces …, 2020 | 67 | 2020 |
| Data acquisition methods for human brain activity S Paszkiel, S Paszkiel Analysis and classification of EEG signals for brain–computer interfaces, 3-9, 2020 | 39 | 2020 |
| Methods of acquisition, archiving and biomedical data analysis of brain functioning S Paszkiel, P Szpulak Biomedical Engineering and Neuroscience: Proceedings of the 3rd …, 2018 | 36 | 2018 |
| Using neural networks for classification of the changes in the EEG signal based on facial expressions S Paszkiel, S Paszkiel Analysis and Classification of EEG Signals for Brain–Computer Interfaces, 41-69, 2020 | 30 | 2020 |
| Augmented reality of technological environment in correlation with brain computer interfaces for control processes S Paszkiel Recent Advances in Automation, Robotics and Measuring Techniques, 197-203, 2014 | 30 | 2014 |
| The use of brain-computer interface to control unmanned aerial vehicle S Paszkiel, M Sikora Automation 2019: Progress in Automation, Robotics and Measurement Techniques …, 2020 | 28 | 2020 |
| Using BCI in IoT implementation S Paszkiel, S Paszkiel Analysis and Classification of EEG Signals for Brain–Computer Interfaces …, 2020 | 27 | 2020 |
| Using BCI and VR technology in neurogaming S Paszkiel, S Paszkiel Analysis and Classification of EEG Signals for Brain–Computer Interfaces, 93-99, 2020 | 25 | 2020 |
| Characteristics of question of blind source separation using Moore-Penrose pseudoinversion for reconstruction of EEG signal S Paszkiel Automation 2017: Innovations in Automation, Robotics and Measurement …, 2017 | 24 | 2017 |
| The use of facial expressions identified from the level of the EEG signal for controlling a mobile vehicle based on a state machine S Paszkiel Automation 2020: Towards Industry of the Future: Proceedings of Automation …, 2020 | 22 | 2020 |
| Control based on brain-computer interface technology for video-gaming with virtual reality techniques S Paszkiel Journal of Automation, Mobile Robotics and Intelligent Systems, 3-7, 2016 | 22 | 2016 |
| Using the Raspberry PI2 module and the brain-computer technology for controlling a mobile vehicle S Paszkiel Automation 2019: Progress in Automation, Robotics and Measurement Techniques …, 2020 | 21 | 2020 |
| BCI wheelchair control using expert system classifying EEG signals based on power spectrum estimation and nervous tics detection D Pawuś, S Paszkiel Applied Sciences 12 (20), 10385, 2022 | 17 | 2022 |
| Gait kinematics analysis of flatfoot adults J Marouvo, F Sousa, O Fernandes, MA Castro, S Paszkiel Applied Sciences 11 (15), 7077, 2021 | 17 | 2021 |
| Brain–computer interface technology S Paszkiel, S Paszkiel Analysis and Classification of EEG Signals for Brain–Computer Interfaces, 11-17, 2020 | 16 | 2020 |
| Brain–computer technology‐based training system in the field of motor imagery S Paszkiel, P Dobrakowski IET Science, Measurement & Technology 14 (10), 1014-1018, 2020 | 15 | 2020 |
| Detection of gestures without begin and end markers by fitting into Bezier curves with least squares method M Słapek, S Paszkiel Pattern Recognition Letters 100, 83-88, 2017 | 15 | 2017 |
| The application of integration of EEG signals for authorial classification algorithms in implementation for a mobile robot control using movement imagery—Pilot study D Pawuś, S Paszkiel Applied Sciences 12 (4), 2161, 2022 | 14 | 2022 |
| 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 S Paszkiel, R Rojek, N Lei, MA Castro NeuroSci 2 (2), 109-119, 2021 | 14 | 2021 |
MA CastroSchool of Health Sciences, Polytechnic of Leiria, Portugal;Verified email at ipleiria.pt
