Electrocardiogram analysis using the multi-scale Savitzky-Golay differential filter

DOI
  • FUJITA JO
    Department of Engineering Science, Graduate School of Osaka University
  • KIYONO KEN
    Department of Engineering Science, Graduate School of Osaka University

Bibliographic Information

Other Title
  • 多重スケールSavitzky-Golay微分フィルタを用いた心電図波形解析

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Description

<p>Recently, for the ECG measurement, wearable heart rate (HR) devices using textile electrodes has been developed. Because the conducting property of non-adhesive textile electrodes are largely affected by body posture and movement, a stable and reliable ECG analysis technique is required. As a new technique of ECG analysis, here we investigate the application of the multi-scale Savitzky-Golay (S-G) differential filter. The S-G filter is the FIR filter that smooths a signal by least squares polynomial fitting. Furthermore, the S-G differential filter is given by the differential coefficient of the fitted polynomial. Since the S-G differential filter is represented as a FIR filter, the filtering is implemented by a convolution. In this paper, we develop the fast algorithm of the S-G differential filter and introduced the multiple scale approach of the filtering. Using this approach, we propose peak and waveform detection algorithms.</p>

Journal

Details 詳細情報について

  • CRID
    1390001288070729728
  • NII Article ID
    130007483613
  • DOI
    10.11239/jsmbe.annual56.s123
  • ISSN
    18814379
    1347443X
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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