Measurement system with real time data converter for conversion of I2S data stream to UDP protocol data
Zoltan Vizvari,
Attila Toth,
Zoltan Sari,
Mihaly Klincsik,
Bojan Kuljic,
Tibor Szakall,
Akos Odry,
Kalman Mathe,
Imre Szabo,
Zoltan Karadi,
Peter Odry
Affiliations
Zoltan Vizvari
Department of Environmental Engineering, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány str. 2, H-7624 Pécs, Hungary; Corresponding author.
Attila Toth
Institute of Physiology, Medical School, University of Pécs, Szigeti str 12, H-7624 Pécs, Hungary
Zoltan Sari
Department of Information Technology, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány str. 2, H-7624 Pécs, Hungary
Mihaly Klincsik
Department of Mathematics, Faculty of Engineering and Information Technology, University of Pécs, Boszorkány str. 2, H-7624 Pécs, Hungary
Bojan Kuljic
College of Applied Sciences, Subotica Tech, Marka Oreškoviċa 16, 24000 Subotica, Serbia
Tibor Szakall
College of Applied Sciences, Subotica Tech, Marka Oreškoviċa 16, 24000 Subotica, Serbia
Akos Odry
Institute of Information Technology, University of Dunaujvaros, Táncsics M. str. 1/A, H-2401 Dunaújváros, Hungary
Kalman Mathe
Faculty of Engineering and Information Technology, University of Pécs, Boszorkány str. 2, H-7624 Pécs, Hungary
Imre Szabo
Department of Behavioural Sciences, Medical School, University of Pécs, Szigeti str 12, H-7624 Pécs, Hungary
Zoltan Karadi
Institute of Physiology, Medical School, University of Pécs, Szigeti str 12, H-7624 Pécs, Hungary
Peter Odry
Institute of Information Technology, University of Dunaujvaros, Táncsics M. str. 1/A, H-2401 Dunaújváros, Hungary
A central goal of systems neuroscience is to simultaneously measure the activities of all achievable neurons in the brain at millisecond resolution in freely moving animals. This paper describes a protocol converter which is part of a measurement acquisition system for multichannel real time recording of brain signals. In practice, in such techniques, a primary consideration of reliability leads to great necessity towards increasing the sampling rate of these signals while simultaneously increasing the resolution of A/D conversion to 24 bits or even to the unprecedented 32 bits per sample. In fact, this was the guiding principle for our team in the present study. By increasing the temporal and amplitude resolution, it is supposed that we get enabled to discover or recognize and identify new signal components which have previously been masked at a “low” temporal and amplitude resolution, and these new signal components, in the future, are likely to contribute to a deeper understanding of the workings of the brain.
