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Author: search.filters.author.Chompusri, YotakaSubject: search.filters.subject.ECG

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    Modified beat segmentation for DTW based ECG compression
    (2015-01-26)
    Chompusri, Yotaka
    ;
    Dejhan, Kobchai
    ;
    Yimman, Surapun
    ;
    Charbkaew, Noppadol
    The proposed ECG compression method presents the new beat segmentation algorithm. Because this proposed compression method uses the residual difference between original ECG signal beat and the reference ECG beat, the ECG signal must be separated into each beat before doing the compression process. That is the duty of beat segmentation process. Therefore, this process is important step of the selective Mapping Technique ECG compression method. The main goal of this work is to design the beat segmentation algorithm which is the most suitable for this compression method. And this proposed beat segmentation algorithm is designed to replace the complicated operation algorithm. Consequently, this proposed beat segmentation algorithm uses only simple operation such as accumulation and shift operation. And moreover, the decision rule is not complicated as the previous method. The test results show that more than half of tested signals return higher compression ratio (CR). In addition, almost quarter of tested signals have better performance of percent root mean square difference (PRD). Therefore this is the alternative method for the best comparing selection.
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    Mother wavelet selecting method for selective mapping technique ECG compression
    (2012-10-02)
    Chompusri, Yotaka
    ;
    Dejhan, Kobchai
    ;
    Yimman, Surapun
    The electrocardiogram compression method presented in this research processes the residual signal which is the difference between the original signal and the reference signal. The residual signal is transformed to wavelet domain and then the redundant information is eliminated in wavelet domain. The selection of mother wavelet is one of main factor to maintain the important data in wavelet domain. The difference type of mother wavelet has its own shape and its own characteristic. Therefore this affects to the performance of compression. This work compares the efficiency of compression algorithm by using difference type of Mother Wavelet. The test shows that no mother wavelet which is the best for all ECG. Thereby, reducing the time consuming for selection the proper mother wavelet, the Best of Four Method is introduced. This algorithm uses four types of mother wavelet to be competitors, 'db1', 'db2', 'db9' and 'bior2.4'. The result shows that the selected mother wavelet types have the good performance on overall tested signals. Moreover, the 'db1' mother wavelet has the best performance on more than a half of all signals. © 2012 IEEE.