George B. Moody PhysioNet Challenge

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Quick links for this year's Challenge:

Please post questions and comments in the forum. However, if your question reveals information about your entry, then please email info at physionetchallenge.org. We may post parts of our reply publicly if we feel that all Challengers should benefit from it. We will not answer emails about the Challenge to any other address.

Series 1 is real (from MIT-BIH Normal Sinus Rhythm Database record 16265); series 2 is synthesized using a slightly elaborated version of the example, in which generate looks like this:

float generate(void)
{
    float rr;
    static float t;
    static float omega = 1.0;
    static float rrmean = 0.8;

    omega += ((float)rand() - RAND_MAX)/(RAND_MAX*100.0) + 0.005;
    if (omega < 0.5) omega = 0.5 + ((float)rand())/(RAND_MAX*100.0);
    else if (omega > 2.0) omega = 2.0 - ((float)rand())/(RAND_MAX*100.0);
    rrmean += ((float)rand() - RAND_MAX)/(RAND_MAX*100.0) + 0.005;
    if (rrmean < 0.6) rrmean = 0.6 + ((float)rand())/(RAND_MAX*100.0);
    else if (rrmean > 1.1) rrmean = 1.1 - ((float)rand())/(RAND_MAX*100.0);
    rr = rrmean + 0.05*sin(omega*t) +
	((float)rand() - RAND_MAX)/(RAND_MAX*100.0);
    t += rr;
    return (rr);
}

Supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under NIH grant number R01EB030362.

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