def __init__(self):
Processor.__init__(self,"GSRProcessor", [("source","Raw gsr data")], ["GSR rate of change"],[("outputRatio","Number of input values per output value")])
self.currentRate=0
# minimum and maximums - nb. minimum and maximum are reset when an R spike is detected (both to current value, then
self.diffValue=0
self.lastValue=None
self.skipValueCount=0
# queue to store last n values for moving average
self.histQueue=deque([],GSRProcessor.HIST_QUEUE_COUNT)
self.run()
def __init__(self):
Processor.__init__(
self, "BreathProcessor", [("Breath", "Raw respiration stream")], ["Respiration rate (bpm)"], []
)
self.currentRate = 0
# minimum and maximums - nb. minimum and maximum are reset when an R spike is detected (both to current value, then
self.lastValue = None
self.lastDerivative = None
self.lastSecondDerivative = 0
self.beatTimes = deque([], BreathProcessor.RATE_BEAT_COUNT)
self.dataCount = 0
self.lastUnsmoothedValue = 0
self.bandpass = BreathProcessor.BandPassFilter()
self.lowpass = BreathProcessor.BandPassFilter()
self.run()
def __init__(self):
Processor.__init__(self,"ECGHRProcessor", [("source","Raw ECG pulse data")], ["Heart rate (bpm)"],[])
self.currentRate=0
# minimum and maximums - nb. minimum and maximum are reset when an R spike is detected (both to current value, then
self.minDerivative=0.0
self.maxDerivative=0.0
self.lastValue=None
self.lastDerivative=None
self.lastSmoothedDerivative=None
self.dataCount=0
self.minDerivativeTime=0
self.maxDerivativeTime=0
self.lastBeatTime=-9990
self.beatTimes=deque([],HRProcessor.RATE_BEAT_COUNT)
self.diffQueue=deque([],HRProcessor.DIFF_QUEUE_COUNT)
self.bigQueue=deque([],HRProcessor.BIG_QUEUE_COUNT)
self.lasttime = None
self.run()
def __init__(self):
Processor.__init__(self,"MultiplicationProcessor", [("Input","Input Stream")], ["Multiplied Input"],[("Factor","Value to multiply by","100")])
self.run()
def __init__(self):
Processor.__init__(self, "JsonMultiChannelBufferProcessor", [("*source", "input data")], [("buffered", "Buffered JSON blob")], [("type","choose millis or values", "values"),("number", "number of values or millis", "128"),("channelnames","comma seperated names for all incoming channels",""),("channeltypes","comma seperated trpes for all incoming channels",""),("sigfigs","accuracy of the data - use -1 for default","-1")])
self.run()
def __init__(self):
Processor.__init__(self,"HRScalingProcessor", [("Input","Input Stream")], ["Scaled Input"],[("Age","Age","25"),("Fitness","Fitness","4"),("Gender","Gender","Male")])
self.run()
def __init__(self):
Processor.__init__(self,"SummativeProcessor", [("*sources","List of sources to sum")], ["Sum of all sources"],[])
self.run()
def __init__(self):
Processor.__init__(self, "AverageProcessor", [("source", "Current numerical data")], [("Average", "Average Value")], [])
self.count = 0
self.total = 0
self.run()
def __init__(self):
Processor.__init__(self,"ScalingProcessor", [("Input","Input Stream")], [("Scaled","Scaled Input")],[("Old Min","Old Min","0.0"),("Old Max","Old Max","1.0"),("New Min","New Min","0.0"),("New Max","New Max","100.0")])
self.run()
def __init__(self):
Processor.__init__(self,"StreamMultiplicationProcessor", [("Signal1","Signal 1 Stream"),("Signal2","Signal 2 Stream")], [("Arousal","Multiplied value of the two streams")],[("divideTotal","divide the total by this value","100")])
self.dominantQ = None
self.run()
def __init__(self):
Processor.__init__(self,"WindowThresholdCounterProcessor", [("source","Raw data"),("regularsource","Standard Data Rate Control")], ["Threshold Peak Count"],[("WindowSize","Number of values to calculate threshold count from","1920"),("RollRate","Rate at which the window moves-effectively the output rate","1920"),("Threshold","THreshold Value to count over","90")])
self.windowCounter = 0
self.rollCounter = 0
self.sum = 0
self.run()
def __init__(self,):
Processor.__init__(self,"SmoothingProcessor", [("source","data source to smooth")], ["Smoothed data"],[("smoothing","Initial smoothing factor (0.0 - 1.0)")],self.defineGUI)
self.lastValue=None
self.MAX_RANGE = 10000.0
self.despikeValues=[]
self.run()
def __init__(self):
Processor.__init__(self,"PearsonConcordanceProcessor", [("Signal1","Signal 1 Stream"),("Signal2","Signal 2 Stream")], ["P value for the two streams", "Correlation value for the two streams"],[("Window Size","Number of input values per output value","15")])
self.windowSize=256
self.dominantQ = None
self.bothQsActive = False
self.run()
