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

A. C. Fisher, W. El-Deredy, R. P. Hagan, M. C. Brown, P. J G Lisboa

    Research output: Contribution to journalArticlepeer-review

    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. © International Federation for Medical and Biological Engineering 2006.
    Original languageEnglish
    Pages (from-to)69-77
    Number of pages8
    JournalMedical and Biological Engineering and Computing
    Volume45
    Issue number1
    DOIs
    Publication statusPublished - Jan 2007

    Keywords

    • Artefacts
    • Blind source separation
    • BSS
    • Constrained ICA
    • ERG
    • ICA
    • Independent component analysis
    • JadeR
    • Noise
    • PERG
    • sDEM
    • Synchronous dynamical embedding matrix

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