Publication detail

Towards real-time QRS feature extraction for wearable monitors

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

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/"
}