Title :
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
fDate :
Aug. 30 2011-Sept. 3 2011
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;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090643
