Universal nonuniform sampling of ECG signals: Opportunities and obstacles

Citations Over Time

Abstract

Sampling of ECG signals has been studied for several decades. However, nonuniform sampling at low average rate has received much less attention. While uniform sampling rate needs to be at least twice the bandwidth of a signal (Nyquist rate), in theory, nonuniform sampling at sub-Nyquist rate should be adequate for faithful reconstruction if the signal is sufficiently sparse. Noting the known sparsity ECG signals, we attempt to demonstrate sub-Nyquist sampling of such signals. However, alongside this opportunity, reconstruction from nonuniform samples also poses a particular challenge. While uniform sampling admits universal (signal-independent) reconstruction (via sinc interpolation), reconstruction from nonuniform samples is generally data-dependent. In this paper, we make use of compressive sampling theory to demonstrate that nonuniform sampling does provide universal performance guarantee. In our experiments, we use ANSI/AAMI standard test ECG signals, and tune the orthogonal mathing pursuit algorithm for those to obtain superior performance. Our results potentially facilitates development of low-power ECG recording devices with potential application in remote locations without grid power.

Related Papers

• → Reconstruction of Band-Limited Periodic Nonuniformly Sampled Signals Through Multirate Filter Banks(2004)115 cited
• → Universal nonuniform sampling of ECG signals: Opportunities and obstacles(2012)3 cited
• → Sub-Nyquist nonuniform sampling and perfect reconstruction of signals(2005)4 cited
• → Compressed sensing based multi-rate sub-Nyquist sampling system(2015)1 cited
• → Sampling of two-dimensional signals below Nyquist density with application to computer aided tomography(2002)1 cited