Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device
This paper describes a signal processing technique for ECG signal analysis based upon the combination of wavelet analysis and fuzzy c-means clustering. The signal analysis technique is implemented into a biomedical signal diagnostic unit that is the carry on device for the Wireless Nano-Bios Diagnostic System (WNBDS) developed at National Taiwan University. The WNBDS integrates mobile devices and remote data base servers to conduct online monitoring and remote healthcare applications. The signal analysis and diagnostic algorithms in this paper are implemented in an embedded mobile device to conduct mobile biomedical signal diagnostics. At this stage, the Electrocardiogram (ECG or EKG) is analyzed for patient health monitoring. The ECG signal processing is based on the wavelet analysis, and the diagnosis is based on fuzzy clustering. The embedded system is realized with the Windows CE operating system.
KeywordsDiscrete wavelet transform (DWT) Fuzzy C-means (FCM) ECG Windows CE Embedded system
This work is supported by the Ministry of Economics, Taiwan ROC, under the Wireless Health Advanced Monitoring Bio-Diagnosis System, WHAM-BioS project.
- 5.Castro, B., Kogan, D., & Geva, A. B. (2000). ECG feature extraction using optimal mother wavelet. In Proc. 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, pp. 346–350.Google Scholar
- 6.Chan, H. L., Siao, Y. C., Chen, S. W., Yu, S. F., Wavelet-based ECG compression by bit-field preserving and running length encoding. Computer Methods and Programs in Biomedicine. 90(1):1–8, April 2008.Google Scholar
- 8.Lewicke, A., Sazonov, E., Corwin, M. J., Neuman, M., Schuckers, S., Sleep versus wake classification from heart rate variability using computational intelligence: consideration of rejection in classification models. IEEE Transactions on Biomedical Engineering. 55(1):108–118, Jan 2008.CrossRefGoogle Scholar
- 17.Burrus, C. S., Gopinath, R. A., and Guo, H., Introduction to wavelet and wavelet transform—A primer. Prentice Hall, Upper Saddle River, NJ, 1998.Google Scholar