Implementation of a miniature sized, battery powered electrophysiological signal-generator for testing multi-channel recording equipments

Kálmán Máthé, Attila Tóth, Zoltán Petykó, I. Szabó, A. Czurkó

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Testing electrophysiological recording equipments is an important task in multi-channel extracellular in vivo electrophysiology. In this paper, a miniature, battery powered multi-channel electrophysiological signal-generator (ESG) is described that was designed for this purpose. The device is based on a Xilinx CPLD (Complex Programmable Logic Device) and it is powered by a 3 V lithium coin battery. It is a useful tool for calibration and testing the performance, quality and parameters of the recording equipments used for acquiring EEG, field potentials, ECG, EMG, and multiple unit activity. The device is ideally suited to identify instances when errors interfere with the proper recording, and repair of wiring or service of the equipment is needed. Two versions of the device are described; one is for 16 (ESG16), and another is for 32 channels (ESG32). Both versions provide amplitude and time calibration, as well as cross-talk and CMRR (common mode rejection ratio) testing for the recording equipment.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalJournal of Neuroscience Methods
Volume165
Issue number1
DOIs
Publication statusPublished - Sep 15 2007

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Equipment and Supplies
Calibration
Numismatics
Electrophysiology
Lithium
Electroencephalography
Electrocardiography

Keywords

  • ECG
  • EEG
  • EMG
  • Multi-electrode
  • Multi-site recording
  • Multiple single unit

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Implementation of a miniature sized, battery powered electrophysiological signal-generator for testing multi-channel recording equipments. / Máthé, Kálmán; Tóth, Attila; Petykó, Zoltán; Szabó, I.; Czurkó, A.

In: Journal of Neuroscience Methods, Vol. 165, No. 1, 15.09.2007, p. 1-8.

Research output: Contribution to journalArticle

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