David Cubanski

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This work extends Papoulis' (1977) general sampling expansion to the vector case where N band-limited signals are passed through a multi-input multi-output (MIMO) linear time invariant (LTI) system that generates M (M/spl ges/N) output signals. We find necessary and sufficient conditions for reconstructing the N input signals from the samples of the M(More)
INTRODUCTION A neural network classifier has been designed, which is able to distinguish atrial fibrillation (AF) from other supraventricular arrhythmias in ambulatory (Holter) ECGs. METHOD AND RESULTS The classification algorithm uses a rhythm analysis that considers the ECG to be a time series of RR interval durations. This is combined with an analysis(More)
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