Abstract:
In automated ECG monitoring, QRS detection performance is dependent on noise measurements on individual leads. A new signal quality measurement based on stability analysi...Show MoreMetadata
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.
Published in: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Date of Conference: 30 August 2011 - 03 September 2011
Date Added to IEEE Xplore: 01 December 2011
ISBN Information:
ISSN Information:
PubMed ID: 22255159
Contents 