/// SETUP JSON
public void SetupNewSession(string folder)
{
filepath = folder + "/" + filename;
sessionValues = new SessionVariables();
sessionValues.CreateDictionaryOfTimeSeries();
isConfigured = true;
}
public void StopCurrentSession()
{
if (isConfigured)
{
// Save file
SaveSettings();
// Reset values
sessionValues = null;
filepath = null;
isConfigured = false;
}
}
/// <summary>
/// Load json from disk
/// </summary>
public SessionVariables LoadSessionValues(string filepath)
{
if (File.Exists(filepath))
{
sessionValues = JsonUtility.FromJson <SessionVariables>(File.ReadAllText(filepath));
sessionValues.RemoveEmptyTimeSeries();
return(sessionValues);
}
else
{
// If the file does not exist, create one with default values and read from it.
Debug.Log("The file does not exist in " + filepath);
return(null);
}
}
public static bool Calculate(SessionVariables sessionData)
{
// Check that both arrays are the same length
int N = sessionData.RMSSD.timestamp.Count;
// Assess length of each timeseries, by default are assummed equal
bool equalLength = true, useRRi = false, useRMSSD = false;
if (sessionData.RRi.timestamp.Count != sessionData.RMSSD.timestamp.Count)
{
// timeseries are different length
equalLength = false;
N = Math.Min(sessionData.RRi.timestamp.Count, sessionData.RMSSD.timestamp.Count);
// Which is the shorter signal?
if (N == sessionData.RRi.timestamp.Count)
{
useRRi = true;
}
else if (N == sessionData.RMSSD.timestamp.Count)
{
useRMSSD = true;
}
}
// Mean values
float meanRRi = 0f;
float meanRMSSD = 0f;
for (int i = 0; i < N; i++)
{
// Check timestamps are similar :: +/-10ms offset
if (Math.Abs(sessionData.RRi.timestamp[i] - sessionData.RMSSD.timestamp[i]) > 0.1f)
{
ExciteOMeterManager.DebugLog("WARNING: Two timestamps differ in more than 0.1s");
}
// Cumulative sum
meanRRi += sessionData.RRi.value[i];
meanRMSSD += sessionData.RMSSD.value[i];
}
meanRRi = meanRRi / N;
meanRMSSD = meanRMSSD / N;
// Standard deviation
float stdRRi = 0f;
float stdRMSSD = 0f;
for (int i = 0; i < N; i++)
{
stdRRi += (float)Math.Pow(sessionData.RRi.value[i] - meanRRi, 2);
stdRMSSD += (float)Math.Pow(sessionData.RMSSD.value[i] - meanRMSSD, 2);
}
stdRRi = (float)Math.Sqrt(stdRRi / N);
stdRMSSD = (float)Math.Sqrt(stdRMSSD / N);
// Placeholder for z-score
double zScoreRRi = 0f, percentileRRi = 0f;
double zScoreRMSSD = 0f, percentileRMSSD = 0f;
// Final EoM level
float timestampEOM = 0.0f;
float valueEOM = 0.0f;
// Calculate final EoM level
for (int i = 0; i < N; i++)
{
zScoreRRi = (double)((sessionData.RRi.value[i] - meanRRi) / stdRRi);
zScoreRMSSD = (double)((sessionData.RMSSD.value[i] - meanRMSSD) / stdRMSSD);
percentileRRi = Phi(zScoreRRi);
percentileRMSSD = Phi(zScoreRMSSD);
// Average of percentile of RRI and percentile of RMSSD
valueEOM = (1 - (float)(percentileRRi + percentileRMSSD) / 2.0f);
if (equalLength)
{
timestampEOM = (sessionData.RRi.timestamp[i]);
}
else if (useRRi)
{
timestampEOM = (sessionData.RRi.timestamp[i]);
}
else if (useRMSSD)
{
timestampEOM = (sessionData.RMSSD.timestamp[i]);
}
// Add to class that is exported as JSON
SessionVariablesController.instance.WritePostProcessedExciteOMeterIndex(timestampEOM, valueEOM);
// Add to CSV file
LoggerController.instance.WriteLine(LogName.EOM, timestampEOM.ToString("F6") + "," + valueEOM.ToString("F5"));
}
return(true);
}