Combining Adaptive Hermite and Sigmoid Functions with Piecewise Polynomial Interpolation for ECG Beat Representation

Description

The electrocardiogram (ECG) follows a rather characteristic shape, which has lead to the development of several mathematical models for describing single waves or the whole ECG beat. Various noise sources as well as many subject-specific individual features, however, still demand improvements of these methodologies. In this work, we suggest a model based on Hermite and sigmoid functions combined with piecewise polynomial interpolation for an exact segmentation and low-dimensional representation of the single ECG beat segments. This allows a more accurate tracking of wave shape changes over time, which might be of great medical interest.

Period	26 Jul 2019
Event title	IEEE Engineering in Medicine and Biology Conference (EMBC 2019)
Event type	Conference
Location	GermanyShow on map