NON-LINEAR FIT OF A 6 SKEWED GAUSSIAN TEMPLATE FOR FILTERING, COMPRESSION AND CLINICAL IDENTIFICATION OF THE ECG USING A DSP WIRELESS SETUP

Luís Pina Soares, Raul Carneiro Martins

Abstract

In this paper we present an improved method for the acquisition, filtering, compression and clinical parameter identification of the ECG. The method involves the use of an improved instrumentation setup with high resolution and sample rate, as well as DSP monitored automatic gain and offset control (AGOC) which maximizes the range of the signal. It also involves the fitting of the signal with a nonlinear model consisting of six generalized Gaussians (with skew). The method further includes the use of sinefitting techniques to selectively remove electromagnetic interference such as the power-line (50 Hz or 60 Hz component). We will further describe the experimental setup developed, which is a DSP based portable 3-lead device, and show some experimental and characterization results.

Keywords

ECG acquisition, clinical model template nonlinear fit, sine-fit

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PWC-2006-TC13-023u.pdf

DOI

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IMEKO TC

TC13 - Measurements in Biology and Medicine

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