Open source Java-based ECG analysis software and Android app for Atrial Fibrillation screening

Computing in Cardiology

Volumn 40, Issue , 2013, Pages 731-734

  Oster, Julien ^a   Behar, Joachim ^a   Colloca, Roberta ^a,b   Li, Qichen ^a   Li, Qiao ^a   Clifford, Gari D ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84894144623     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Clifford GD, Clifton D. Wireless technology in disease management and medicine. Annual Review of Medicine 2012;63:479-492.
2. Fuster V, Ryden LE, Cannom DS, Crijns HJ, Curtis AB, Ellenbogen KA, Halperin JL, Le Heuzey JY, Kay GN, Lowe JE, Bertil Olsson S, Prystowsky EN, Tamargo JL, Wann S. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation. Circulation 2006;8(9):651-745.
3. a D A wireless sensor platform for noninvasive biomedical research", Sensors Journal, IEEE, 2010;10(9):527, 1534.
4. Shimmer-research, available online at http://shimmerresearch.com/, last viewed March 2013.
5. Clifford GD. Signal processing methods for heart rate variability, DPhil. Thesis, Oxford University, Michaelmas 2002.
6. Nygårds ME, Sörnmo L. Delineation of the QRS complex using the envelope of the ECG Med. & Biol. Eng. & Comput 1983;21:538-547. (Pubitemid 13048845)
7. Pan J, Tompkins WJ. A real-time QRS detection algorithm. IEEE Trans Biomed Eng 1985;32(3):230-236. (Pubitemid 15148852)
8. Hamilton PS, Tompkins WJ. Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng 1986;33:1157-1165.
9. The MIT-BIH Arrhythmia Database. Available online at http://www. physionet.org/physiobankl database/mitdb/, last viewed March 2013.
10. Goldberger AL, Amaral LA, Glass L, et al.: PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation 2000;101(23):215-20.
11. Hamilton PS. Open source ECG analysis software documentation, www.eplimited.com/osea13.pdf. 2002.
12. Silva I; Moody GB, Celi L. Improving the quality of ECGs collected using mobile phones: The PhysioNet/Computing in Cardiology Challenge 2011. Computing in Cardiology, 2011;38(1):273-6.
13. Behar J, Oster J, Li Q, Clifford GD. ECG signal quality during arrhythmia and its application to false alarm reduction. IEEE Transactions on Biomedical Engineering in Press, 2013.
14. Zong W. Single-lead QRS detector based on length transform, Last updated 2010, accessed online May 2013 www.physionet.org/physiotools/wfdb/app/wqrs.c
15. Zong W, Moody GB, Jiang D. A robust open-source algorithm to detect onset and duration of QRS complexes, Computing in Cardiology 2003;30:737D40.
16. Lake DE, Moorman JR. Accurate estimation of entropy in very short physiological time series: the problem of atrial fibrillation detection in implanted ventricular devices. American Journal of Physiology-Heart and Circulatory Physiology 2011;300:H319-H325.
17. Linker DT. Long-term monitoring for detection of atrial fibrillation, US patent 7, 630, 756.
18. Li Q, Rajagopalan C, Clifford GD. Ventricular fibrillation and tachycardia classification using a machine learning approach. IEEE Trans on Biomed Eng 2013, In press.
19. Colloca R, Johnson AEW, Mainardi L, Clifford GD, A support vector machine approach for reliable detection of AF events. Computing in Cardiology 2013.