Detail publikačního výsledku

Towards real-time QRS feature extraction for wearable monitors

SMITAL, L.; HAIDER, C.; LEINVEBER, P.; JURÁK, P.; GILBERT, B.; HOLMES, D.

Originální název

Towards real-time QRS feature extraction for wearable monitors

Anglický název

Towards real-time QRS feature extraction for wearable monitors

Druh

Stať ve sborníku v databázi WoS či Scopus

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.

Anglický 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;

Klíčová slova v angličtině

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.

Rok RIV

2017

Vydáno

16.08.2016

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/"
}