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Onset Detection of Pulse-Shaped Bioelectrical Signals Using Linear State Space Models by Frédéric Waldmann; Christof Baeriswyl; Raphael Andonie; Reto A. Wildhaber is a Engineering article available to read on EtoBox.

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## Abstract Bioelectrical signals are often pulse-shaped with superimposed interference signals. In this context, accurate identification of features such as pulse onsets, peaks, amplitudes, and duration is a frequent problem. In this paper, we present a versatile method of rather low computational complexity to robustly identify such features in real-world signals. For that, we take use of two straight-line models fit to the observations by minimizing a quadratic cost term, and then identify desired features by tweaked likelihood measures. To demonstrate the idea and facilitate access to the method, we provide examples from the field of cardiology.

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Author

Frédéric Waldmann; Christof Baeriswyl; Raphael Andonie; Reto A. Wildhaber

Publisher

Walter de Gruyter GmbH

Published

2022

Language

EN

Field

Engineering (Physical Sciences)