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SMITAL, L. HAIDER, C. LEINVEBER, P. JURÁK, P. GILBERT, B. HOLMES, D.
Originální název
Towards real-time QRS feature extraction for wearable monitors
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
QRS detection; ECG signal; Stockwell Transform; Short Time Fourier Transform; wearable sensor;
Autoři
SMITAL, L.; HAIDER, C.; LEINVEBER, P.; JURÁK, P.; GILBERT, B.; HOLMES, D.
Vydáno
16. 8. 2016
Nakladatel
IEEE
Místo
Orlando, Florida USA
ISBN
978-1-4577-0220-4
Kniha
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Strany od
3519
Strany do
3522
Strany počet
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/" }