data_preparator.load_file()
ekg_analyser = EkgAnalyser(options.frequency, data_preparator.start_time)
plotter = SignalPlotter(data_preparator.prepare_timeline())
data_preparator.prepare_data()
data_preparator.apply_filters()
print "%s representation" % options.representation.capitalize()
print "Analysing channel %s\n" % options.channel
# plot signal
if options.representation == "raw":
signal = data_preparator.raw_signal_set()
elif options.representation == "einthoven":
signal = data_preparator.einthoven_signal_set()
elif options.representation == "goldberg":
signal = data_preparator.goldberg_signal_set()
ekg_analyser.load_signal_set(signal)
data = {}
for chann in xrange(1, 4):
data[chann] = []
for chann, value in ekg_analyser._threshold_strategy.items():
data[chann].append((plotter._timeline,
ones(len(plotter._timeline)) * value,
False))
for chann in xrange(1, 4):
