DocumentCode :
2270549
Title :
The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats
Author :
Prückl, R. ; Grünbacher, E. ; Ortner, R. ; Taub, A.H. ; Hogri, R. ; Magal, A. ; Segalis, E. ; Zreik, M. ; Nossenson, N. ; Herreros, I. ; Giovannucci, A. ; Almog, R. Ofek ; Bamford, S. ; Marcus-Kalish, M. ; Shacham, Y. ; Verschure, P.F.M.J. ; Messer, H. ;
Author_Institution :
g.tec - Guger Technol. OG, Schiedlberg, Austria
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
8
Abstract :
In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for developing Brain Computer Interfaces (BCI), the present solution offers tools for data preprocessing, analysis and visualization even in the case of high sampling rates and furthermore tools for precise cognitive stimulation. One application of the system, the analysis of multi-unit activity measured from the brain of a rat is presented to prove the efficiency of the proposed environment. The experimental setup was used to design and implement a biomimetic, biohybrid model for demonstrating the recovery of a learning function lost with age. Throughout the paper we discuss the components of the setup, the software structure and the online visualization. At the end we present results of a real-time experiment in which the model of the brain learned to react to the acquired signals.
Keywords :
biomimetics; brain models; brain-computer interfaces; cognitive systems; data analysis; electrocardiography; electroencephalography; electromyography; learning (artificial intelligence); medical signal processing; neurophysiology; real-time systems; Brain Computer Interfaces; ECG; ECoG; EEC; EMG; biohybrid model; biomimetic; brain function; brain learning; cognitive stimulation; data preprocessing; learning function; multiunit activity measurement; online visualization; real-time biosignal analysis; real-time rapid-prototyping environment; rehabilitation behavior; software structure; Animals; Biological system modeling; Electrodes; Feature extraction; Real time systems; Software; Training data; Biomedical Engineering; Biomedical Systems; Neurological analysis; Rapid Prototyping; Real-Time;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9890-1
Type :
conf
DOI :
10.1109/CCMB.2011.5952121
Filename :
5952121
Link To Document :
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