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sgolay matlab function  (MathWorks Inc)


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    MathWorks Inc sgolay matlab function
    Sgolay Matlab Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/sgolay matlab function/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    sgolay matlab function - by Bioz Stars, 2026-04
    90/100 stars

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    Image Search Results


    A typical example of RRI and PAT series from one subject in the natural state. winlen, the window length of the Savitzky-Golay filter (if winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient.

    Journal: Scientific Reports

    Article Title: A correlation study of beat-to-beat R-R intervals and pulse arrival time under natural state and cold stimulation

    doi: 10.1038/s41598-021-90056-2

    Figure Lengend Snippet: A typical example of RRI and PAT series from one subject in the natural state. winlen, the window length of the Savitzky-Golay filter (if winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient.

    Article Snippet: By setting different window length (i.e., different cutoff frequency, calculated by using Matlab function sgolay and freqz , see Table ), a group of RRI and PAT series with different degrees of smoothness were obtained.

    Techniques:

    The correlation coefficients between RRI and PAT with different delays or different smoothness. ( a ) The correlation coefficients between PAT and delayed RRI for all subjects in the natural state. Delay is the delayed beats of RRI series. ( b ) The correlation coefficients between smoothed RRI and smoothed PAT for all subjects in the natural state. Window length is the window length of the Savitzky-Golay filter. If window length = 0, no smoothing.

    Journal: Scientific Reports

    Article Title: A correlation study of beat-to-beat R-R intervals and pulse arrival time under natural state and cold stimulation

    doi: 10.1038/s41598-021-90056-2

    Figure Lengend Snippet: The correlation coefficients between RRI and PAT with different delays or different smoothness. ( a ) The correlation coefficients between PAT and delayed RRI for all subjects in the natural state. Delay is the delayed beats of RRI series. ( b ) The correlation coefficients between smoothed RRI and smoothed PAT for all subjects in the natural state. Window length is the window length of the Savitzky-Golay filter. If window length = 0, no smoothing.

    Article Snippet: By setting different window length (i.e., different cutoff frequency, calculated by using Matlab function sgolay and freqz , see Table ), a group of RRI and PAT series with different degrees of smoothness were obtained.

    Techniques:

    Scatter plots and linear regressions of RRI versus PAT for all subjects in the natural state. The thin yellow lines are the regression lines for individual subjects. The thick red lines are the regression lines for all subjects. winlen, the window length of the Savitzky-Golay filter (winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient.

    Journal: Scientific Reports

    Article Title: A correlation study of beat-to-beat R-R intervals and pulse arrival time under natural state and cold stimulation

    doi: 10.1038/s41598-021-90056-2

    Figure Lengend Snippet: Scatter plots and linear regressions of RRI versus PAT for all subjects in the natural state. The thin yellow lines are the regression lines for individual subjects. The thick red lines are the regression lines for all subjects. winlen, the window length of the Savitzky-Golay filter (winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient.

    Article Snippet: By setting different window length (i.e., different cutoff frequency, calculated by using Matlab function sgolay and freqz , see Table ), a group of RRI and PAT series with different degrees of smoothness were obtained.

    Techniques:

    The correlation coefficients between RRI and PAT with different delays and different smoothness for all subjects in the natural state. The presented data are averaged over all subjects. Window length, the window length of the Savitzky-Golay filter (if 0, no smoothing). Delay, the delayed beats of RRI series.

    Journal: Scientific Reports

    Article Title: A correlation study of beat-to-beat R-R intervals and pulse arrival time under natural state and cold stimulation

    doi: 10.1038/s41598-021-90056-2

    Figure Lengend Snippet: The correlation coefficients between RRI and PAT with different delays and different smoothness for all subjects in the natural state. The presented data are averaged over all subjects. Window length, the window length of the Savitzky-Golay filter (if 0, no smoothing). Delay, the delayed beats of RRI series.

    Article Snippet: By setting different window length (i.e., different cutoff frequency, calculated by using Matlab function sgolay and freqz , see Table ), a group of RRI and PAT series with different degrees of smoothness were obtained.

    Techniques:

    Correlation between RRI and PAT under cold stimulation. ( a – d ) A typical example of RRI and PAT series from one subject under the cold stimulation. The dotted vertical lines indicate the beginning and the end of the cold stimulation. winlen, the window length of the Savitzky-Golay filter (winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient. ( e ) The correlation coefficients between RRI and PAT with different delays and different smoothness for all subjects in the cold stimulation. The presented data are averaged over all subjects. Window length, the window length of the Savitzky-Golay filter (if 0, no smoothing). delay, the delayed beats of RRI series.

    Journal: Scientific Reports

    Article Title: A correlation study of beat-to-beat R-R intervals and pulse arrival time under natural state and cold stimulation

    doi: 10.1038/s41598-021-90056-2

    Figure Lengend Snippet: Correlation between RRI and PAT under cold stimulation. ( a – d ) A typical example of RRI and PAT series from one subject under the cold stimulation. The dotted vertical lines indicate the beginning and the end of the cold stimulation. winlen, the window length of the Savitzky-Golay filter (winlen = 0, no smoothing). delay, the delayed beats of RRI series. r, the correlation coefficient. ( e ) The correlation coefficients between RRI and PAT with different delays and different smoothness for all subjects in the cold stimulation. The presented data are averaged over all subjects. Window length, the window length of the Savitzky-Golay filter (if 0, no smoothing). delay, the delayed beats of RRI series.

    Article Snippet: By setting different window length (i.e., different cutoff frequency, calculated by using Matlab function sgolay and freqz , see Table ), a group of RRI and PAT series with different degrees of smoothness were obtained.

    Techniques: