/// <summary>
/// load and filter signal
/// </summary>
/// <param name="slider">slider</param>
/// <returns></returns>
public static SignalSamples load(Slider slider)
{
// skip if file not exist
if (!FileHandler.available())
{
return(null);
}
// load samples
Settings set = Settings.instance();
int sampleRate = FileHandler.readSampleRate();
SignalSamples samples = FileHandler.readBlocks(slider.seek, slider.blocks);
samples = samples.Normalize();
samples.sampleRate = sampleRate;
// find signal amplitude
Signal deltaGreat = samples.FindMax() - samples.FindMin();
// 2x 12 hz filter
if (set.noise12Hz)
{
samples.Filter(12, sampleRate / 2, 1.3f);
samples.Filter(12, sampleRate / 2, 1.3f);
}
// 20 hz filter
if (set.noise20Hz)
{
samples.Filter(20, sampleRate / 2, 1.3f);
samples.Filter(20, sampleRate / 2, 1.3f);
}
// 45 hz filter
if (set.noise45Hz)
{
samples.Filter(45, sampleRate / 2, 1.3f);
}
// 50hz or 60hz noise
if (set.noiseCustom > 0)
{
samples.Filter(set.noiseCustom, sampleRate / 2, 1);
}
// notch filter
if (set.noiseNotch)
{
samples = FilterNotch.Process(samples, 400, 0.1f);
}
// find signal loss enerrgy amplitude
Signal deltaLess = samples.FindMax() - samples.FindMin();
// amplify loosed amplitude
samples.Amplify(deltaGreat, deltaLess);
// load file description
FileHandler.id = XmlClass <EcgStatistic> .Load(FileHandler.p + ".xml", SerializedFormat.Document);
return(samples);
}
