Wyniki wyszukiwania - BazTech

1

Robotic orthosis compared to virtual hand for Brain–Computer Interface feedback

Cantillo-Negrete Jessica, Carino-Escobar Ruben I., Carrillo-Mora Paul, Barraza-Madrigal José A., Arias-Carrión Oscar

Biocybernetics and Biomedical Engineering

|

2019

|

Vol. 39, no. 2

263--272

EN

Brain–Computer Interfaces (BCI) allow the control of external devices by decoding the users' intentions from their central nervous system. Feedback, one of the main elements of a closed- loop BCI, is used to enhance the user's performance. The present work aimed to compare the effect of two different feedback sources; congruent anatomical visual hand representation and passive hand movement on BCI performance and cortical activations. Electroencephalography of 12 healthy right-handed subjects was recorded to set a BCI activated by right-hand motor imagery. Afterward, the subjects were asked to control the system by imagining the movement. The system provided either visual feedback, shown on a computer screen or kinesthetic feedback, provided by a robotic hand orthosis. Differences in performance and cortical activations were assessed, using classification accuracy and event-related desynchronization/synchronization in μ and β bands, respectively. Performance was significantly better with kinesthetic feedback as it allowed for higher correct classification of motor imagery. Cortical activations in the ipsilateral central channel in μ were different between the two feedback modalities. Our results imply that healthy subjects can achieve a greater degree of control using a motor imagery-based BCI with kinesthetic feedback than with anatomically congruent visual feedback. Furthermore, cortical activation differences show that kinesthetic feedback seems to elicit higher recruitment of sensorimotor cortex brain cells, which probably reflects enhanced local information modulation related to fine motor processing. Therefore, kinesthetic feedback provided by a robotic orthosis could be a more suitable feedback strategy for BCI systems designed for neuromodulation and neurorehabilitation.

2

Interfejs mózg-komputer wykorzystujący sygnały EEG

Marek L., Plechawska-Wójcik M.

Journal of Computer Sciences Institute

|

2016

|

Vol. 2

64--69

PL

Artykuł opisuje test aplikacji interfejs mózg-komputer z wykorzystaniem paradygmatu SSVEP. Przy realizacji projektu dokonano przeglądu dostępnych metod badania aktywności mózgu oraz wybrano odpowiednie urządzenie do akwizycji. Kolejne etapy działania interfejsu, czyli przetwarzanie oraz klasyfikacja, opracowano i zaprezentowano w środowisku OpenViBE. Ostatecznie, ocenę użyteczności i sprawności zaprezentowano na zaprojektowanej aplikacji.

EN

The aim of the article is to test the brain-computer interface application using the SSVEP paradigm. During the realization of the project various methods of recording brain activity were tested, and the suitable acquisition device was chosen. Consecutive stages of the interface operation, which are data processing and classification, were presented in the OpenVibe environment. Finally, the usefulness and efficiency were estimated using a designed application.

3

The use of Brain Computer Interfaces in control processes based on the industrial PC in terms of the methods of EEG signal analyses

Paszkiel S.

Journal of Medical Informatics & Technologies

|

2013

|

Vol. 22

55--62

EN

The article presents applications of BCI - Brain Computer Interfaces technology in the control processes based on the infrastructure of an IPC - an Industrial PC. Methods of the EEG signal analysis such as the PCA the Principal Component Analysis and the ICA the Independent Component Analysis are also discussed. Nowadays industrial computers are increasingly used in production, due to their specific technical parameters conducive to working in difficult conditions. The use of control based on brain-computer interface speed definitely rate the performance of the employees, reduce the response time to the case and allows you to remotely perform the activity.

4

Zastosowanie BCI do sterowania robotem mobilnym

Paszkiel S., Błachowicz A.

Pomiary Automatyka Robotyka

|

2012

|

R. 16, nr 2

270-274

PL

Artykuł omawia kwestię praktycznego zastosowania interfejsu mózg-komputer w procesie sterowania wielozadaniowym robotem mobilnym własnej konstrukcji. W trakcie badań laboratoryjnych wykorzystywane jest urządzenie Emotiv EPOC Neuroheadset. Akwizycja sygnału odbywa się poprzez zamocowane na skórze osoby badanej elektrody aktywne wedle standaryzacji 10-20. Następnie sygnał jest przetwarzany i wykorzystywany do sterowania robotem mobilnym.

EN

The article presents the practical use of braincomputer interface in the process of controlling a multi-role mobile robot constructed on one's own. Emotiv EPOC Neuroheadset is used during the laboratory research. The acquisition of the signal occurs by placing active electrodes on the head of a subject. Then the signal is processed and used for controlling the mobile robot.