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Method and system for removing very low frequency noise from a time-based data set

  • US 7,321,845 B2
  • Filed: 04/13/2005
  • Issued: 01/22/2008
  • Est. Priority Date: 01/24/2003
  • Status: Expired due to Term
First Claim
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1. A method for removing very low frequency noise from a time-based data set for use in data analysis of said time-based data set having a plurality of data points, comprising:

  • providing said time-based data set to be analyzed;

    determining a baseline value from at least a portion of said data set;

    smoothing the data set to diminish an effect of extraneous data points and obtain smoothed data, wherein said smoothing includes;

    using a Fast Fourier Transform (FFT) algorithm to transfer said time-based data set into a frequency based data set;

    attenuating low frequencies of said frequency-based data set; and

    using an inverse Fourier Transform (IFT) algorithm to transfer said attenuated frequency based data set into an attenuated time-based data set; and

    displaying the smoothed data using a display unit.

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