A single channel ECG quality metric

Computing in Cardiology

Volumn 39, Issue , 2012, Pages 381-384

  Behar, J ^a   Oster, J ^a   Li, Q ^a   Clifford, G D ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY NUMBER; INTENSIVE CARE UNIT MONITORING; NOISE STRESS TEST; QUALITY ASSESSMENT; QUALITY METRICES; QUALITY METRICS; SINGLE CHANNEL ECG; TIME-PERIODS;

CARDIOLOGY; DATABASE SYSTEMS; DISEASES; ELECTROCARDIOGRAPHY; INTENSIVE CARE UNITS;

CLASSIFICATION (OF INFORMATION);

EID: 84875678621     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (18)

1. Friesen G, et al. A comparison of the noise sensitivity of nine QRS detection algorithms. IEEE Trans Biomed Eng 1990;37:8598.
2. Allen J,Murray A. Assessing ECG signal quality on a coronary care unit. Physiol Meas 1996;17:24958.
3. Chambrin M. Alarms in the intensive care unit: how can the number of false alarms be reduced? Crit Care 2001; 5:1848.
4. Aboukhalil A, et al. Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform. Jour of Biomed Inform 2008;41:442451.
5. Lawless ST. Crying wolf: false alarms in a pediatric intensive care unit. Crit Care Med 1994;22:981-5.
6. Romero I, Berset T, et al. Motion artifact reduction in ambulatory ECG monitoring: An integrated system approach. Wireless Health conf 2011;.
7. European health telematics association (EHTEL). Sustainable telemedicine paradigms for future-proof healthcare. European Commission DG Enterprise Industry Feb 2008; Version 1.0.
8. Silva I, Moody G B, Celi L. Improving the Quality of ECGs Collected Using Mobile Phones: The PhysioNet/ Computing in Cardiology Challenge 2011. Comput in Cardiol 2011;38:273-276.
9. Clifford G D, Lopez D, Li Q, Rezek I. Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments. Comp in Card 2011;38:285-288.
10. Clifford G, Behar J, Li Q, Rezek I. Signal quality indices and data fusion for determining acceptability of electrocardiograms collected in noisy ambulatory environments. Phys Meas 2011;In review.
11. Moody GB, Muldrow WE, Mark RG. A noise stress test for arrhythmia detectors. Computers in Cardiology 1984; 11:381-384.
12. Moody GB, Mark RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Eng in Med and Biol 2001; 20:45-50.
13. Goldberger AL, et al. Components of a new research resource for complex physiologic signals. Circ 2000; 101:215-220.
14. Hamilton PS. Open Source ECG Analysis Software Documentation. http://www.eplimited.com/osea13.pdf, 2002.
15. Zong W. Single-lead QRS detector based on length transform. http://www.physionet.org/physiotools/wfdb/app/wqrs.c, 2010.
16. Li Q, Mark RG, Clifford GD. Robust heart rate estimation from multiple asynchronous noisy sources using signal quality indices and a Kalman filter. Physiol Meas 2008; 29(1):15-32.
17. Chang C C, Lin C J. LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2011;2:27:1-27:27.
18. Ben-Hur A, Weston J. A User's Guide to Support Vector Machines. Technical report http://pyml.sourceforge.net/doc/howto.pdf, 2012.