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Control and data acquisition software for high-density CMOS-based microprobe arrays implementing electronic depth control

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Published/Copyright: May 5, 2010
Biomedical Engineering / Biomedizinische Technik
From the journal Volume 55 Issue 3

Abstract

This paper presents the NeuroSelect software for managing the electronic depth control of cerebral CMOS-based microprobes for extracellular in vivo recordings. These microprobes contain up to 500 electronically switchable electrodes which can be appropriately selected with regard to specific neuron locations in the course of a recording experiment. NeuroSelect makes it possible to scan the electrodes electronically and to (re)select those electrodes of best signal quality resulting in a closed-loop design of a neural acquisition system. The signal quality is calculated by the relative power of the spikes compared with the background noise. The spikes are detected by an adaptive threshold using a robust estimator of the standard deviation. Electrodes can be selected in a manual or semi-automatic mode based on the signal quality. This electronic depth control constitutes a significant improvement for multielectrode probes, given that so far the only alternative has been the fine positioning by mechanical probe translation. In addition to managing communication with the hardware controller of the probe array, the software also controls acquisition, processing, display and storage of the neural signals for further analysis.

Keywords: electronic depth control; neural recording; silicon microprobes; three-dimensional (3D) probe arrays
Corresponding author: Karsten Seidl, Department of Microsystems Engineering-IMTEK, University of Freiburg, Georges-Koehler-Allee 103, D-79110 Freiburg, Germany Phone: +49-761-203-7202 Fax: +49-761-203-7192
Received: 2009-3-5
Accepted: 2010-1-26
Published Online: 2010-05-05
Published Online: 2010-05-05
Published in Print: 2010-06-01

©2010 by Walter de Gruyter Berlin New York

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https://doi.org/10.1515/bmt.2010.014
Keywords for this article
electronic depth control; neural recording; silicon microprobes; three-dimensional (3D) probe arrays

Articles in the same Issue

  1. Guest editorial
  2. NeuroMath: advanced methods for the estimation of human brain activity and connectivity
  3. Research articles
  4. The significance of relative conductivity on thin layers in EEG sensitivity distributions
  5. Comparison between realistic and spherical approaches in EEG forward modelling
  6. On the analysis of BIS stage epochs via fuzzy clustering
  7. Spectral features of EEG in depression
  8. On the role of cost-sensitive learning in multi-class brain-computer interfaces
  9. Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application
  10. Control and data acquisition software for high-density CMOS-based microprobe arrays implementing electronic depth control
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