//private TrignoEmgSignal[] Process(double [] rawData)
//{
// int count = Math.Min(_nChannels, rawData.Length);
// TrignoEmgSignal[] signals = new TrignoEmgSignal[count];
// for (int index = 0; index < count; index++)
// {
// TrignoEmgSignal signal = new TrignoEmgSignal();
// signal.RawSample = rawData[index];
// signal.BpfSample = _bandPassFilters[index].filterData(signal.RawSample );
// signal.FullWaveSample = FullWaveRectification(signal.BpfSample)[0];
// signals[index] = MovingWindowAverageFilter(signal, index);
// }
// return signals;
//}
private TrignoEmgSignal[] Process(double[][] rawData)
{
int count = Math.Min(_nChannels, rawData.Length);
TrignoEmgSignal[] signals = new TrignoEmgSignal[count];
for (int index = 0; index < count; index++)
{
TrignoEmgSignal signal = new TrignoEmgSignal(rawData[index]);
signal.BpfSample = _bandPassFilters[index].filterData(signal.RawSample);
FullWaveRectification(signal.BpfSample, signal.FullWaveSample);
signals[index] = MovingWindowAverageFilter(signal, index);
}
return(signals);
}
private TrignoEmgSignal MovingWindowAverageFilter(TrignoEmgSignal signal, int index)
{
bool activated = false;
double onOff = 0;
for (int i = 0; i < signal.FullWaveSample.Length; i++)
{
if (_movingWindowData[index].Count == _movingWindowLength)
{
_movingWindowData[index].RemoveAt(0);
_movingWindowData[index].Add(signal.FullWaveSample[i]);
}
else
{
_movingWindowData[index].Add(signal.FullWaveSample[i]);
}
double currentMean = Mean(_movingWindowData[index]);
signal.AveragedSample[i] = currentMean;
if (currentMean > (_baselineMean[index] + (3 * _baselineStdev[index])))
{
onOff = currentMean;
}
else
{
onOff = 0;
}
signal.OnOff[i] = onOff;
activated = activated || !(onOff == 0);
signal.RestingMean[i] = _baselineMean[index];
signal.RestingStdev[i] = _baselineStdev[index];
}
signal.MuscleActivated = activated;
return(signal);
}
public void CollectionDataReady(object sender, ComponentDataReadyEventArgs e)
{
TransformData[] tData = new TransformData[e.Data.Length];
foreach (TransformData td in e.Data)
{
tData[_sensorToChannel[_guidToSensor[td.Id]]] = td;
}
double[][] data = new double[e.Data.Length][];
//if (tData.Length >= 2 && tData[0].Data.Count == tData[1].Data.Count)
//{
// var channelData = tData[0];
// for (int i = 0; i < channelData.Data.Count; i++)
// {
// for (int j = 0; j < tData.Length; j++)
// {
// data[j] = tData[j].Data[i];
// }
// switch (_calibrationState)
// {
// case CalibrationState.Calibrating:
// Train(data);
// OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(null));
// break;
// case CalibrationState.Calibrated:
// OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(Process(data)));
// break;
// default: //CalibrationState.Uncalibrated
// for (int c = 0; c < data.Length; c++)
// {
// _signals[c] = new TrignoEmgSignal(data[c]);
// }
// OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(_signals));
// break;
// }
// }
//}
if (tData.Length >= 2 && tData[0].Data.Count == tData[1].Data.Count)
{
for (int channel = 0; channel < tData.Length; channel++)
{
data[channel] = new double[tData[channel].Data.Count];
for (int sample = 0; sample < tData[channel].Data.Count; sample++)
{
data[channel][sample] = tData[channel].Data[sample];
}
}
switch (_calibrationState)
{
case CalibrationState.Calibrating:
Train(data);
OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(null));
break;
case CalibrationState.Calibrated:
OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(Process(data)));
break;
default: //CalibrationState.Uncalibrated
for (int c = 0; c < data.Length; c++)
{
_signals[c] = new TrignoEmgSignal(data[c]);
}
OnMuscleActivationChanged(new MuscleActivationChangedEventArgs(_signals));
break;
}
}
else
{
Console.Write("E");
}
}
