The application of dynamic time warping to measure the accuracy of ECG compression

International Journal of Circuits, Systems and Signal Processing

Volumn 5, Issue 3, 2011, Pages 305-313

  Shorten, Gavin P ^a   Burke, Martin J ^a  

^a NONE

Author keywords

Approximation error; Dynamic time warping; ECG compression; Error threshold; Pattern recognition; Scan along Polygonal approximation; Signal processing

Indexed keywords

APPROXIMATION ERRORS; DYNAMIC TIME WARPING; ECG COMPRESSION; ERROR THRESHOLD; POLYGONAL APPROXIMATIONS;

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; COMPRESSION RATIO (MACHINERY); ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; METADATA; PARAMETER EXTRACTION; PATTERN RECOGNITION; SIGNAL PROCESSING;

DATA COMPRESSION;

EID: 80053961473     PISSN: None     EISSN: 19984464     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. S. Noimanee, T. Tankasiri, K. Siriwitayakorn and J. Tontrakoon, The Vital Signs data Monitoring via GPS Navigation System, WSEAS Transactions on Biology and Biomedicine, Vol. 4, 2007, pp 80-91.
2. H.B. Bahar and Y.S. Khiabani, Optimal Design of DPCM Scheme for ECG Signal Handling, The 6th International Conference on Signal, Speech and Image Processing, Lisbon 2006, pp 156-161.
3. L.K. Wee, Y.K. Jiar and E. Supriyanto, Electrocardiogram Data Capturing System and Computerized Digitization using Image Processing Techniques, International Journal of Biology and Biomedical Engineering, Vol. 3, 2009, pp 27-34.
4. Borivoje Furht, Alex Perez, An Adaptive Real-Time ECG Compression Algorithm with Variable Threshold, IEEE Transactions on Biomedical Engineering, Vol. 35, 1988 pp 489-494.
5. Vinod Kumar, S.C. Saxena, V.K. Giri and Dilag Singh, Improved modified AZTEC technique for ECG data compression: Effect of length of parabolic filter on reconstructed signal, Computers and Electrical Engineering, Vol. 31, 2005, pp 334-344.
6. Masa Ishijima, Soon-Bum Shin, Gene H. Hostetter and Jack Sklansky, Scan-Along Polygonal Approximation for Data Compression of Electrocardiograms, IEEE Transactions on Biomedical Engineering, Vol 11, 1983, pp 723-729.
7. Antti Koski and Martti Juhola, Segmentation of Digital Signals Based on Estimated Compression Ratio, IEEE Transactions on Biomedical Engineering, Vol. 43, 1996, pp 928-938.
8. A. Hamadan, S. Karimifard, H. Sadoughi and M. Abdoli, An Efficient Piecewise Modeling of ECG Signals Based on Hermitian Basis Functions, 29th Annual Conference of the IEEE EMBS, 2007, pp 3180-3183.
9. M. Lascu and D. Lascu, Electrocardiogram Compression and Optimal Filtering Algorithm, The 7th WSEAS International Conference on Signal, Speech and Image Processing, Beijing 2007, pp 26-30.
10. A.G. Ramakrishnan and S. Saha, ECG Coding by Wavelet based Linear Prediction, IEEE Transactions on Biomedical Engineering, Vol. 44, 1997, pp 1253-1261.
11. Morteza Moazami-Goudarzi, Mohammad H. Moradiand Ali Taheri, Efficient Method for ECG Compression Using Two Dimensional Multiwavelet Transform, Word Academy of Science Engineering and Technology, Vol. 2, 2005, pp 1-5.
12. B.R. S Reddy and S.N. Murthy, ECG Data Compression Using Fourier Descriptor, IEEE Transactions on Biomedical Engineering, Vol.33, 1968, pp 428-434.
13. E.S. Skordalakis and G.D. Barlas, A Novel Family of Compression Algorithms for ECG and Other Semiperiodical, One-dimensional, Biomedical Signals, IEEE Transactions on Biomedical Engineering, Vol. 43, 1996, pp 820-228.
14. Sateh M.S. Jalleddine, Chriswell G. Hutchens, Robtert D. Strattan and William A. Coberly, ECG Data Compression Techniques-A Unified Approach, IEEE Transactions on Biomedical Engineering, Vol. 37, 1990, pp 329-343.
15. V. Kumar, S.C. Saxena and V.K. Giri, Direct Data Compression of ECG Signal for Telemedicine, International Journal of Systems Science, Vol.37, 2006, pp 45-63.
16. Catalina Monica Fira and Liviu Goras, An ECG Signals Compression Method and Its Validation Using NNs, IEEE Transactions on Biomedical Engineering, Vol. 44, 2008, pp 1319-1326.
17. G.P. Shorten, M.J. Burke, A Novel Approach in Testing the Accuracy of ECG Compression using Partial Percentage RMS Difference and Dynamic Time Warping, The 10th WSEAS International Conference on Signal Processing, Robotics and Automation, Cambridge 2011, pp 89-94.
18. H.J.L. M Vullings, M.H.G. Verhaegen, H.B. Verbruggen, Automated ECG segmentation with Dynamic Time Warping, 20th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 20, 1998.
19. Willis J. Tompkins, Biomedical Digital Signal Processing, Prentice Hall, 1993.
20. B. Huang and W. Kinser, ECG Frame Classification Using Dynamic Time Warping, IEEE Canadian Conference on Electrical & Computer Engineering, Vol. 2, 2002, pp 1105-1110.
21. Ali Zifan, Sohrab Saberi, Mohammad Hassan Moradi and Farzad Towhidkhah, Automated ECG Segmentation Using Piecewise Derivative Dynamic Time Warping, International Journal of Biological and Life Sciences, Vol. 1, No. 3, 2005, pp. 181-185.
22. Volkan Tuzcu and Selman Nas, Dynamic Time Warping As a Novel Tool in Pattern Recognition of ECG Changes in Heart Rhythm, IEEE International Conference on Systems, Man and Cybernetics, Vol 5, 2005, pp 182-186.
23. Sergios Theodoridis, and Konstantinos Koutroumbas, Pattern Recognition Third Edition, San Diego CA: Academic Press, 2006, pp. 397-413.
24. Physio Bank-Physiological Signal Archives, http://www.physionet.org/physiobank/database.
25. Pablo Laguna, Roger G. Mark, Ary Goldberger and George B. Moody, A Database for Evaluation of Algorithms for Measurement of QT and Other Waveform Intervals in the ECG, Computers in Cardiology, 1997, vol. 24, pp. 673-676.
26. R. Jané, A. Blasi, J. García and P. Laguna, Evaluation of an Automatic Threshold Based Detector of Waveform Limits in Holter ECG with the QT Database, Computer in Cardiology, Vol. 24, 1997, pp 295-298.
27. J. R. Hampton, The ECG in Practice, London England, Churchill Livingston, 1997, pp. 227.