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SMITAL, L. HAIDER, C. LEINVEBER, P. JURÁK, P. GILBERT, B. HOLMES, D.
Original Title
Towards real-time QRS feature extraction for wearable monitors
Type
conference paper
Language
English
Original Abstract
The ability to generate computationally compact ECG analysis algorithms is of interest in the field of wearable physiologic monitors. Such remote monitors necessarily have limited on-board energy storage and therefore lack the computational power and physical memory often required for academic study of physiologic waveforms. Herein we evaluate a set of algorithms with markedly different computation and memory footprints useful in extracting QRS complexes from synthetically generated noisy and measured ECG signals. A small memory and computational footprint Short Time Fourier Transform ECG analysis algorithm is demonstrated to have similar sensitivity and specificity to a more complex but highly accurate Stockwell Transform.
Keywords
QRS detection; ECG signal; Stockwell Transform; Short Time Fourier Transform; wearable sensor;
Authors
SMITAL, L.; HAIDER, C.; LEINVEBER, P.; JURÁK, P.; GILBERT, B.; HOLMES, D.
Released
16. 8. 2016
Publisher
IEEE
Location
Orlando, Florida USA
ISBN
978-1-4577-0220-4
Book
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Pages from
3519
Pages to
3522
Pages count
4
URL
http://ieeexplore.ieee.org/document/7591487/
BibTex
@inproceedings{BUT131422, author="Lukáš {Smital} and Clifton {Haider} and Pavel {Leinveber} and Pavel {Jurák} and Barry {Gilbert} and David {Holmes}", title="Towards real-time QRS feature extraction for wearable monitors", booktitle="2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)", year="2016", pages="3519--3522", publisher="IEEE", address="Orlando, Florida USA", doi="10.1109/EMBC.2016.7591487", isbn="978-1-4577-0220-4", url="http://ieeexplore.ieee.org/document/7591487/" }