Comparison of smoothing filters' influence on quality of data recorded with the emotiv epoc flex brain–computer interface headset during audio stimulation
Off-the-shelf, consumer-grade EEG equipment is nowadays becoming the first-choice
equipment for many scientists when it comes to recording brain waves for research …
equipment for many scientists when it comes to recording brain waves for research …
[PDF][PDF] Brain-computer interface as measurement and control system the review paper
In the last decade of the XX-th century, several academic centers have launched intensive
research programs on the brain-computer interface (BCI). The current state of research …
research programs on the brain-computer interface (BCI). The current state of research …
A new method of EEG classification for BCI with feature extraction based on higher order statistics of wavelet components and selection with genetic algorithms
A new method of feature extraction and selection of EEG signal for brain-computer interface
design is presented. The proposed feature selection method is based on higher order …
design is presented. The proposed feature selection method is based on higher order …
[PDF][PDF] Classifying various EMG and EOG artifacts in EEG signals
O Aydemir, S Pourzare, T Kayikcioglu - Przegląd Elektrotechniczny, 2012 - academia.edu
EEG is the most popular potential non-invasive interface, mainly due to its fine temporal
resolution, ease of use, portability and low set-up cost. However, it has some limitations. The …
resolution, ease of use, portability and low set-up cost. However, it has some limitations. The …
[PDF][PDF] A new method of cardiac sympathetic index estimation using a 1D-convolutional neural network
Epilepsy is a neurological disorder that causes seizures of many different types. The article
presents an analysis of heart rate variability (HRV) for epileptic seizure prediction …
presents an analysis of heart rate variability (HRV) for epileptic seizure prediction …
Implementation of selected EEG signal processing algorithms in asynchronous BCI
A Majkowski, M Kolodziej… - 2012 IEEE International …, 2012 - ieeexplore.ieee.org
Implementation of selected EEG signal processing algorithms in asynchronous BCI Page 1
Abstr brain syste is im the B Keyw signa BCI2 A (Jacq com in th acro elect com signa meth and …
Abstr brain syste is im the B Keyw signa BCI2 A (Jacq com in th acro elect com signa meth and …
[PDF][PDF] Detection of epileptic seizures with the use of convolutional neural networks
P Wiszniewski, M Kołodziej, A Majkowski… - Przegląd …, 2023 - researchgate.net
The purpose of the article is to investigate whether the implementation of a CNN consisting
of several layers will allow the effective detection of epileptic seizures. For the research, a …
of several layers will allow the effective detection of epileptic seizures. For the research, a …
Fall Detection Using a Smartphone
M Kołodziej, A Majkowski, W Czop… - 2020 IEEE 21st …, 2020 - ieeexplore.ieee.org
Fall is one of the most common causes of injury. Falling is especially dangerous for the
elderly people. Fortunately in recent years, there has been a growing popularity of …
elderly people. Fortunately in recent years, there has been a growing popularity of …
Classification of EEG signal during gaze on the different rotating vanes
M Maleki, T Kayıkçıoğlu - 2016 24th Signal Processing and …, 2016 - ieeexplore.ieee.org
In this paper a novel brain-computer interface based on the gaze on rotating vane using five
channels of EEG signal is proposed. Classification of EEG signal is done in three sessions …
channels of EEG signal is proposed. Classification of EEG signal is done in three sessions …
[PDF][PDF] Zastosowanie klasteryzacji do automatycznej detekcji artefaktów mrugania oczami w sygnale EEG
W artykule zaprezentowano autorską metodę detekcji krótkich fragmentów sygnału EEG,
które zawierają artefakty mrugania oczami. Autorzy, do automatycznego wskazania …
które zawierają artefakty mrugania oczami. Autorzy, do automatycznego wskazania …