Spike detection algorithm improvement, spike waveforms projections with PCA and hierarchical classification

E. Biffi, D. Ghezzi, A. Pedrocchi, G. Ferrigno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Definition of single spikes from multiunit spike trains plays a critical role in neurophysiology and in neuroengineering. Moreover, long period analysis are needed to study synaptic plasticity effects and observe the long and medium term development on which all central nervous system (CNS) learning functions are based. Therefore, the increasing importance of long period recordings makes necessary on-line and real time analysis, memory use optimization and data transmission rate improvement. A threshold-amplitude spikes detection method is chosen and 5 noise level estimate methods were developed. Than APs are bundled to group using principal component analysis and classified (hierarchical classifier). The system has lot of applications like high-throughput pharmacological screening and monitoring effects.

Original languageEnglish
Title of host publicationIET Conference Publications
Edition540 CP
DOIs
Publication statusPublished - 2008
Event4th IET International Conference on Advances in Medical, Signal and Information Processing, MEDSIP 2008 - Santa Margherita Ligure, Italy
Duration: Jul 14 2008Jul 16 2008

Other

Other4th IET International Conference on Advances in Medical, Signal and Information Processing, MEDSIP 2008
CountryItaly
CitySanta Margherita Ligure
Period7/14/087/16/08

Keywords

  • Cluster analysis
  • MEA
  • Neuroengineering
  • PCA

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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