NDLI: Removal of eye movement artefacts from single channel recordings of retinal evoked potentials using synchronous dynamical embedding and independent component analysis

Content Provider	Springer Nature Link
Author	Fisher, A. C. El Deredy, W. Hagan, R. P. Brown, M. C. Lisboa, P. J. G.
Copyright Year	2006
Abstract	A system is described for the removal of eye movement and blink artefacts from single channel pattern reversal electroretinogram recordings of very poor signal-to-noise ratios. Artefacts are detected and removed by using a blind source separation technique based on the jadeR independent component analysis algorithm. The single channel data are arranged as a series of overlapping time-delayed vectors forming a dynamical embedding matrix. The structure of this matrix is constrained to the phase of the stimulation epoch: the term synchronous dynamical embedding is coined. A novel method using a marker channel with a non-independent synchronous feature is employed to identify the single most relevant source estimation for reconstruction and signal recovery. This method is non-lossy, all underlying signal being recovered. In synthetic datasets of defined noise content and in standardised real data recordings, the performance of this technique is compared to conventional fixed-threshold hard-limit rejection. The most significant relative improvements are achieved when movement and blink artefacts are greatest: no improvement is demonstrable for the random noise only situation.
Starting Page	69
Ending Page	77
Page Count	9
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	45
Issue Number	1
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2006-12-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Blind source separation BSS Independent component analysis ICA JadeR Constrained ICA Synchronous dynamical embedding matrix sDEM ERG PERG Artefacts Noise Neurosciences Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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