Making a diagnosis involves ratifying or verifying a proposed answer. Formalizing this
verification process with checklists, which highlight key variables involved in the diagnostic …

A non-uniform distribution of diagnostic information in the electrocardiogram (ECG) has
been commonly accepted and is the background to several compression, denoising and …

Automated ECG interpretation systems are supposed to follow human expert reasoning.
Despite well-established standards, the visual interpretation strategy of the human is still …

The paper presents an adaptive time-frequency denoising algorithm. Main novelty is a
running quasi-continuous scalo-temporal model of background activity built and subtracted …

This paper presents the use of bandwidth gap for embedding supplementary digital data into
the ECG record without changing its ability to diagnose. The gap results from overestimation …

While conventional similar books focus on medical science and social aspects, this book
emphasizes computing science and engineering design. This feature can help with both …

We present a set of three fundamental methods for electrocardiogram (ECG) diagnostic
interpretation adapted to process non-uniformly sampled signal. The growing volume of …

The paper presents an adaptive time-frequency denoising algorithm. Other denoising
methods use a very general probability-based noise model and as general-purpose …

Common use of telemedical recordings performed in home care conditions and interpreted
automatically justifies the need for a reliable signal-to-noise estimate. We propose new …

In this paper we propose using the ECG bandgap storage area for coding high frequency
details of the signal. Authorization-dependent access to these details allows privileged users …