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 language | English |
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Pages (from-to) | 69-77 |
Number of pages | 8 |
Journal | Medical and Biological Engineering and Computing |
Volume | 45 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2007 |
Keywords
- Artefacts
- Blind source separation
- BSS
- Constrained ICA
- ERG
- ICA
- Independent component analysis
- JadeR
- Noise
- PERG
- sDEM
- Synchronous dynamical embedding matrix