IEEE - Institute of Electrical and Electronics Engineers, Inc. - Filtering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Author(s): Vlasta Bari ; Andrea Marchi ; Giulia Girardengo ; Alfred L. George ; Paul A. Brink ; Sergio Cerutti ; Lia Crotti ; Peter J. Schwartz ; Alberto Porta
Sponsor(s): IEEE Eng. Med. Biol. Soc.
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2014
Conference Location: Chicago, IL, USA
Conference Date: 26 August 2014
Page(s): 6,671 - 6,674
ISBN (Electronic): 978-1-4244-7929-0
ISSN (Electronic): 1558-4615
ISSN (Paper): 1094-687X
DOI: 10.1109/EMBC.2014.6945158
Regular:

This study assesses the complexity of heart period (HP) and QT variability series through sample entropy (SampEn) in long QT syndrome type 1 individuals. In order to improve signal-to-noise ratio... View More

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