Novel approach to fuzzy-wavelet ECG signal analysis for a mobile device
Journal
Journal of Medical Systems
Journal Volume
34
Journal Issue
1
Pages
71-81
Date Issued
2010
Author(s)
Abstract
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. ? 2008 Springer Science+Business Media, LLC.
Subjects
Discrete wavelet transform (DWT); ECG; Embedded system; Fuzzy C-means (FCM); Windows CE
SDGs
Other Subjects
article; cluster analysis; computer program; computer system; controlled study; electrocardiography; electrocardiography monitoring; fuzzy system; human; remote sensing; signal detection; signal processing; spectral sensitivity; Electrocardiography, Ambulatory; Fuzzy Logic; Humans; Pattern Recognition, Automated; Signal Processing, Computer-Assisted
Type
journal article