Stability analysis of QRS features to evaluate signal quality for multi-lead QRS dectection

Zhe Zhang; Carolyn Lall; Yu Chen

doi:10.1109/IEMBS.2011.6090643

Stability analysis of QRS features to evaluate signal quality for multi-lead QRS dectection

Annu Int Conf IEEE Eng Med Biol Soc. 2011:2011:3768-71. doi: 10.1109/IEMBS.2011.6090643.

Authors

Zhe Zhang¹, Carolyn Lall, Yu Chen

Affiliation

¹ Patient Monitoring of Draeger Medical, 6 Tech Drive, Andover, MA 01810, USA. zhe.zhang@draeger

PMID: 22255159
DOI: 10.1109/IEMBS.2011.6090643

Abstract

In automated ECG monitoring, QRS detection performance is dependent on noise measurements on individual leads. A new signal quality measurement based on stability analysis of QRS complex features has been developed to assess individual ECG lead quality. The new method was evaluated on the records of the MIT-BIH arrhythmia and NST databases. Results showed that the new signal quality measurement can be used to accurately assess ECG signal quality and can be easily incorporated into an existing multi-lead QRS detection algorithm for performance improvement.

Publication types

Evaluation Study
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Electrocardiography / methods*
Humans
Monitoring, Physiologic / methods*