public SingleVideoExportViewModel()
{
ObservableCollection <ISmoothingBase> smoothingFunctions = new ObservableCollection <ISmoothingBase>();
smoothingFunctions.Add(ModelResolver.Resolve <IGaussianSmoothing>());
smoothingFunctions.Add(ModelResolver.Resolve <IBoxCarSmoothing>());
SmoothingFunctions = smoothingFunctions;
SelectedSmoothingFunction = SmoothingFunctions.First();
}
private void CalculateData()
{
MinAngle = Signal.Min();
MaxAngle = Signal.Max();
MaxAmplitude = Math.Abs(MaxAngle - MinAngle);
RMS = SmoothingFunctions.GetRMS(Signal);
if (ProtractionRetractionData == null)
{
return;
}
AverageAmplitude = ProtractionRetractionData.Where(x => x.Amplitude != 0).Average(protractionRetraction => protractionRetraction.Amplitude);
double[] smoothedSignal = SmoothingFunctions.BoxCarSmooth(Signal);
int[][] peaksandValleys = SmoothingFunctions.FindPeaksAndValleys(smoothedSignal);
int[] signalPeaks = peaksandValleys[0];
int[] signalValleys = peaksandValleys[1];
SignalPeaks = signalPeaks.Select(peak => SmoothingFunctions.FindClosestPeak(peak, Signal)).ToArray();
SignalValleys = signalValleys.Select(valley => SmoothingFunctions.FindClosestValley(valley, Signal)).ToArray();
}
private void CreateAngularVelocitySignal()
{
if (AngleSignal == null || AngleSignal.Length == 0)
{
return;
}
bool error = false;
int[][] peaksAndValleys = SmoothingFunctions.FindPeaksAndValleys(AngleSignal);
int[] peaks = peaksAndValleys[0];
int[] valleys = peaksAndValleys[1];
if (peaks.Length == 0 || valleys.Length == 0)
{
return;
}
int[] rawPeaks = new int[peaks.Length];
for (int i = 0; i < peaks.Length; i++)
{
int closestPeak = SmoothingFunctions.FindClosestPeak(peaks[i], AngleSignal);
if (rawPeaks.Contains(closestPeak))
{
ErrorOccured("The signal is too noisy, accurate results can not be guaranteed");
error = true;
}
rawPeaks[i] = closestPeak;
}
int[] rawValleys = new int[valleys.Length];
for (int i = 0; i < valleys.Length; i++)
{
int closestValley = SmoothingFunctions.FindClosestValley(valleys[i], AngleSignal);
if (rawValleys.Contains(closestValley))
{
ErrorOccured("The signal is too noisy, accurate results can not be guaranteed");
error = true;
}
rawValleys[i] = closestValley;
}
List <ProtractionRetractionBase> data = new List <ProtractionRetractionBase>();
int peakCounter = 0;
int valleyCounter = 0;
int currentPeak = rawPeaks[peakCounter];
int currentValley = rawValleys[valleyCounter];
bool protract = currentPeak > currentValley;
Dictionary <int, ProtractionRetractionBase> protractionRetractionDictionary = new Dictionary <int, ProtractionRetractionBase>();
while (true)
{
if (protract)
{
double deltaTime = Math.Abs(currentPeak - currentValley) / FrameRate;
ProtractionRetractionBase protraction = new ProtractionData();
protraction.UpdateData(AngleSignal[currentValley], AngleSignal[currentPeak], deltaTime);
data.Add(protraction);
for (int i = currentValley; i < currentPeak; i++)
{
if (!protractionRetractionDictionary.ContainsKey(i))
{
protractionRetractionDictionary.Add(i, protraction);
}
else
{
ErrorOccured("The signal is too noisy, accurate results can not be guaranteed");
error = true;
}
}
valleyCounter++;
if (valleyCounter >= rawValleys.Length)
{
break;
}
currentValley = rawValleys[valleyCounter];
protract = false;
}
else
{
double deltaTime = Math.Abs(currentPeak - currentValley) / FrameRate;
ProtractionRetractionBase retraction = new RetractionData();
retraction.UpdateData(AngleSignal[currentValley], AngleSignal[currentPeak], deltaTime);
data.Add(retraction);
for (int i = currentPeak; i < currentValley; i++)
{
if (!protractionRetractionDictionary.ContainsKey(i))
{
protractionRetractionDictionary.Add(i, retraction);
}
else
{
ErrorOccured("The signal is too noisy, accurate results can not be guaranteed");
error = true;
}
}
peakCounter++;
if (peakCounter >= rawPeaks.Length)
{
break;
}
currentPeak = rawPeaks[peakCounter];
protract = true;
}
}
ProtractionRetractionData = data;
ProtractionRetractionDictionary = protractionRetractionDictionary;
MeanProtractionVelocity = ProtractionRetractionData.Where(x => x is ProtractionData).Select(x => x.MeanAngularVelocity).Mean();
MeanRetractionVelocity = ProtractionRetractionData.Where(x => x is RetractionData).Select(x => x.MeanAngularVelocity).Mean();
MeanAngularVelocity = ProtractionRetractionData.Select(x => Math.Abs(x.MeanAngularVelocity)).Mean();
double maxAngle = ProtractionRetractionData.Select(x => x.MaxAngle).Max();
double minAngle = ProtractionRetractionData.Select(x => x.MinAngle).Min();
MaxAmplitude = Math.Abs(maxAngle - minAngle);
if (!error)
{
ModelObjectState = ModelObjectState.New;
}
}
