Singular spectrum analysis as a preprocessing filtering step for fNIRS brain computer interfaces

L. Spyrou, Y. Blokland, J. Farquhar, J. Bruhn

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

Abstract

© 2014 EURASIP.Near Infrared Spectroscopy is a method that measures the brain's haemodynamic response. It is of interest in brain-computer interfaces where haemodynamic patterns in motor tasks are exploited to detect movement. However, the NIRS signal is usually corrupted with background biological processes, some of which are periodic or quasi-periodic in nature. Singular spectrum analysis (SSA) is a time-series decomposition method which separates a signal into a trend, oscillatory components and noise with minimal prior assumptions about their nature. Due to the frequency spectrum overlap of the movement response and of background processes such as Mayer waves, spectral filters are usually suboptimal. In this study, we perform SSA both in an online and a block fashion resulting in the removal of periodic components and in increased classification performance. Our study indicates that SSA is a practical method that can replace spectral filtering and is evaluated on healthy participants and patients with tetraplegia.
Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference, EUSIPCO 2014
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages46-50
ISBN (Electronic)9780992862619
Publication statusPublished - 10 Nov 2014
Externally publishedYes
Event22nd European Signal Processing Conference, EUSIPCO 2014 - Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Conference

Conference22nd European Signal Processing Conference, EUSIPCO 2014
Country/TerritoryPortugal
CityLisbon
Period1/09/145/09/14

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