@inproceedings{scholars967,
             doi = {10.1109/ICIAS.2010.5716238},
            year = {2010},
            note = {cited By 0; Conference of 2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010 ; Conference Date: 15 June 2010 Through 17 June 2010; Conference Code:84196},
         address = {Kuala Lumpur},
           title = {Modeling cardiac signal as tomographic mapping},
         journal = {2010 International Conference on Intelligent and Advanced Systems, ICIAS 2010},
        abstract = {The paper is the extended of the platform on the research implying the signal processing and image processing for the application of biomedical signals interpretation, ECG signals. The main focus on this research is emphasizes on relating one dimensional (1D) ECG signal to three-dimensional (3D) RGB color patterns based on the vertical amplitude surge. This is the improvement from the 2D grayscale pattern 1 to 3D color pattern. This work studies on the computational method in order to display the ECG data into color cluster using the moving-average window using a range of window sizes.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952741582&doi=10.1109\%2fICIAS.2010.5716238&partnerID=40&md5=387b68c0004f38635bb49a19f6befda3},
        keywords = {Biomedical signal; Cardiac signals; Color pattern; Color patterns; ECG; ECG data; ECG signals; Gray scale; Moving averages; Three-dimensional (3D); Tomographic; Vertical amplitude; Window Size; Work study, Bioelectric phenomena; Color; Color printing; Electrochromic devices; Image processing; Industrial research; Signal processing; Three dimensional, Electrocardiography},
            isbn = {9781424466238},
          author = {Khuzi, N. A. A. M. and Asirvadam, V. S. and Izhar, L. I.}
}