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Author: search.filters.author.Wardkein, ParamoteSubject: search.filters.subject.ECG

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    A new ECG compression by using adaptive cosine Fourier Transform
    (2012-10-02)
    Chaiyakum, Patompon
    ;
    Wardkein, Paramote
    In this paper, the electrocardiogram (ECG) data compression by using adaptive discrete cosine Fourier Transform that can compress and recovery ECG data for online processing is presented. Difference equation is applied in this algorithm for generating the referent input used in the adaptive Fourier system. This technique can reduce the memory required in generating cosine function. Moreover, the proposed system does not require the input data to detect a period of signal therefore it reduces an input buffer. In addition, it has a high compression ratio and low percentage of root mean square error. © 2012 IEEE.
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    Human identification system based ECG signal
    (2005-01-01)
    Saechia, Sukkharak
    ;
    Koseeyaporn, Jeerasuda
    ;
    Wardkein, Paramote
    A new human identification system based electrocardiogram (ECG) signal is introduced in this work. The human heart is considered to be a unique system of each person. ECG signal therefore represents as an impulse response of the system. The frequency response of the system (Fourier transform of the ECG signal) is employed to be a tool for feature extraction. In addition, the ECG signals employed in this paper, which may be derived from different heart rates from different subjects at the recording time, are normalized to a standard heart rate. Furthermore, not only the whole sequence of 1 period EC signal, containing P, QRS, and T waves, is processed but also its three subsequences, each respectively representing P, QRS, and T waves, is examined. The results of using neural network have demonstrated that subsequences technique is superior to whole period of ECG signal method.