![](bg5.png)
Figure 7: Four patients ECG noise measured in typical
SAECG (Blue) and using DDTW and PLA (Red).
4 CONCLUSIONS
The alignment algorithm developed based on
DDTW and PLA provides similar results in noise
reduction compared with traditional method based
on high correlation for same number of heartbeats.
For less number of heartbeats however, it reaches
lower noise levels excluding thus the need to reject
as much as traditional method.
ACKNOWLEDGEMENTS
We would like to thank Dr. Zlatev Roumen
Koytchev for his valuable participation as technical
advisor in this paper.
REFERENCES
M.E. Tagluk and M.J. English, 1998, Time-Frequency
Analysis of Model-Based Ventricular Late Potentials,
in 2
nd
International Biomedical Engineering Days
IEEE pp. 134-136.
A. Illanes-Manriquez, Q Zhang, 2008, An Algorithm for
Robust Detection of QRS Onset and Offset in ECG
Signals, Computers in Cardiology vol. 35, pp. 857-
860.
Z.E. Hadj S., F. Bereksi R., 2005, New algorithm for QRS
Complex Detection, Journal of Mechanics in Medicine
and Biology, vol. 5, No. 4, pp. 507-515.
T. Bragge, M.P. Tarvainen, P. A. Karjalainen, 2004,
High-Resolution QRS Detection algorithm for
Sparsely Sampled ECG Recordings, University of
Kuopio Department Physics Report Series ISSN:
0788-4672.
Z.E. Hadj S., F. Bereksi R., 2006, Detection of the QRS
complex by linear prediction, Journal of Medical
Engineering & Technology, vol. 30, No. 3, pp. 134-
138.
G. Breithard, M.E. Cain, N. El-Sherif, N. Flowers, V.
Hombach, M. Janse, M.B. Simson, G. Steinbeck,
1991, Standars for analysis of ventricular late
potentials using high resolution or signal-avaraged
electrocardiography., European Heart Journal, Vo.
12, pp. 473-480.
G. Breithard, T. Wichter, T. Fetsch, T. Seifert, M.
Borggrefe, M. Shenasa, L. Reinhardt, 1993, Te signal-
averaged ECG: time-domain analysis, European Heart
Journal, vol. 14, pp. 27-32.
H. Sakoe, S. Chiba, 1978, Dynamic Programming
Algorithm Optimization for Spoken Word
Recognition, IEEE Transactions on Acoustics, Speech,
and Signal Processing, vol. ASSP-26, No. 1, pp. 43-
49.
A. Zifan, S. Saberi, M. Hassan, F. Towhidkhah, 2007,
Automated ECG Segmentation Using Piecewise
Derivative Time Warping, International Journal of
Biomedical Sciences Vol. 1, No. 3, pp. 181-185.
H.J.L.M. Vullings, M.H.G. Verhaegen, H.B. Verbruggen,
1997, ECG Segmentation Using Time-Warping,
Advances in intelligent Data Analysis (IDA-97), LNCS
1280, pp. 275-285.
J. Pan, W.J. Tompkins., 1985, A real-time QRS detection
algorithm. IEEE transactions on Biomedical
Engineering, BME-32, pp. 230-236.
S. Chu., E. Keogh, D. Hart, M. Pazzani, 2002, Iterative
Deepening Dynamic Time Warping for Time Series,
In Proc 2nd SIAM International Conference on Data
Mining,
SIGNAL TO NOISE RATIO EVALUATION IN SIGNAL AVERAGED ECG BY DERIVATIVE DYNAMIC TIME
WARPING AND PIECEWISE LINEAR APPROXIMATION
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