hallo

code/eod_freq_beat.py

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+from read_baseline_data import *
+from IPython import embed
+import matplotlib.pyplot as plt
+import numpy as np
+
+## beat
+
+data_dir = '../data'
+dataset = '2018-11-09-ad-invivo-1'
+
+time, eod = read_baseline_eod(os.path.join(data_dir, dataset))
+eod_norm = eod - np.mean(eod)
+
+# calculate eod times and indices by zero crossings
+threshold = 0
+shift_eod = np.roll(eod_norm, 1)
+eod_times = time[(eod_norm >= threshold) & (shift_eod < threshold)]
+
+#x = eod_times*40000
+x = np.arange(0., len(eod_times)-1)
+y = np.sin(x*2*np.pi*600)
+eod_freq_beat = 1/(np.diff(eod_times) + y)
+
+# glätten
+kernel = np.ones(7)/7
+smooth_eod_freq_beat = np.convolve(eod_freq_beat, kernel, mode = 'valid')
+time_axis = np.arange(len(smooth_eod_freq_beat))
+
+plt.plot(time_axis, smooth_eod_freq_beat)
+plt.show()
+
+
+#eod_freq_beat = eod_freq_normal + y
+#smooth_eod_freq_beat = np.convolve(eod_freq_beat, kernel, mode = 'valid')
+#fig = plt.plot(time_axis,smooth_eod_freq_beat)
+#plt.xlabel("time [ms]")
+#plt.ylabel("eod frequency [mV]")
+#plt.show()
+