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FPGA Implementation of Power and Area Efficient Compressed Sensing for Multi-Channel ECG Compression
This paper presents the design of a low-power and area efficient hardware engine for multi-channel compression of electrocardiogram (ECG) signals. Compressed sensing (CS) is particularly well suited for low-power implementations because it can...
Discriminant analysis of multivariate time series: Application to diagnosis based on ECG signals
Investigation and comparison of ECG signal sparsity and features variations due to pre-processing steps
, and compression metrics. In this paper, aiming at aninformation-theoretical study, we exemplify pre-processing by Savitzky Golay filtering because of its spe-cial properties, and then, show that (i) adding noise to an ECG signal decreases its sparsity...
A Novel Parametric Deformable Model Based on Calculus of Variations for QRS Detection
In this paper, a novel single-dimensional parametric deformable model based on calculus of variations is proposed for automatic QRS detection in electrocardiogram (ECG) signal. It is inspired by the active contours, conventionally used for image...