Paper Info
Title
The application of a real-time rapid-prototyping environment for the behavioral rehabilitation of a lost brain function in rats
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.
Year
DOI
Venue
2011
10.1109/CCMB.2011.5952121
Computational Intelligence, Cognitive Algorithms, Mind, and Brain
Keywords
Field
DocType
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,Biomedical Engineering,Biomedical Systems,Neurological analysis,Rapid Prototyping,Real-Time
Rapid prototyping,Neurophysiology,Simulation,Computer science,Visualization,Brain–computer interface,Data pre-processing,Real-time computing,Software,Biosignal,Electroencephalography
Conference
ISBN
Citations 
PageRank 
978-1-4244-9890-1
0
0.34
References 
Authors
0
21
Name
Order
Citations
PageRank
Robert Prückl1102.25
Engelbert Grünbacher2112.34
Rupert Ortner3199.13
Aryeh Taub400.68
Roni Hogri500.34
Ari Magal600.34
Eyal Segalis700.34
Majd Zreik800.68
Nir Nossenson900.34
Ivan Herreros10358.13
Andrea Giovannucci1128818.20
Rakefet Ofek Almog1200.68
Sim Bamford1300.34
Mira Marcus-Kalish1400.34
Yosi Shacham1501.01
Paul F. M. J. Verschure16677116.64
Hagit Messer1713815.39
Matti Mintz18396.81
Josef Scharinger1921544.43
Angela Silmon2000.34
christoph guger2122430.53