Kirpma Esikleri'nin Dört Farkli Gürbüz Ölçek Kestirimci ile Kiyaslanmasi

Translated title of the contribution: Comparison of truncation thresholds with four different robust scale estimators

Murat Okatan*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Spike detection in extracellular neural recordings is performed using amplitude thresholding. The threshold is set to 3 to 5 times the estimated standard deviation of the noise in the filtered recording. Robust median estimator is preferred over the conventional standard deviation estimator for the estimation to be less affected by the firing rate. There are several robust scale estimators in the literature and their employability in spike detection in extracellular neural recordings has not been studied previously. Truncation thresholds are a pair of amplitude thresholds that are used for spike detection in extracellular neural recordings. Noise standard deviation is estimated as a byproduct of the computation of the truncation thresholds. This method has been shown to yield more accurate results than the conventional standard deviation estimator and the robust median estimator. Here, the performance of four different robust scale estimators (Sn, Qn, trimmed estimator and winsorized estimator) is compared to that of the truncation thresholds in estimating the noise standard deviation in realistic simulations of extracellular neural recordings. The results show that noise standard deviation is estimated more accurately with truncation thresholds. These findings are important for developing a suitable method for amplitude thresholding in brain-machine-interfaces.

Translated title of the contributionComparison of truncation thresholds with four different robust scale estimators
Original languageTurkish
Title of host publication26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538615010
DOIs
Publication statusPublished - 5 Jul 2018
Externally publishedYes
Event26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey
Duration: 2 May 20185 May 2018

Publication series

Name26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/TerritoryTurkey
CityIzmir
Period2/05/185/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

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