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

Author

Zhang, Zhe ; Lall, Carolyn ; Chen, Yu

Author_Institution

Patient Monitoring of Draeger Med., Andover, MA, USA

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

3768

Lastpage

3771

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.

Keywords

electrocardiography; medical signal processing; ECG signal quality; MIT-BIH arrhythmia database; NST database; QRS complex feature; QRS feature stability analysis; automated ECG monitoring; multilead QRS detection; multilead QRS detection algorithm; signal quality measurement; Algorithm design and analysis; Electrocardiography; Lead; Noise; Noise measurement; Patient monitoring; Stability analysis; Algorithms; Electrocardiography; Humans; Monitoring, Physiologic;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6090643

Filename

6090643