Towards real-time QRS feature extraction for wearable monitors

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU121889" target="_blank" >RIV/00216305:26220/16:PU121889 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/document/7591487/" target="_blank" >http://ieeexplore.ieee.org/document/7591487/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMBC.2016.7591487" target="_blank" >10.1109/EMBC.2016.7591487</a>

Result language
angličtina
Original language name
Towards real-time QRS feature extraction for wearable monitors
Original language description
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.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
ISBN
978-1-4577-0220-4
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
3519-3522
Publisher name
IEEE
Place of publication
Orlando, Florida USA
Event location
Orlando, Florida USA
Event date
Aug 16, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000399823503214

Similar results(10)