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efish 2018-11-29 14:00:47 +01:00
parent 68670cd9b2
commit 0d2ea250af

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@ -2,38 +2,38 @@ from read_baseline_data import *
from IPython import embed
import matplotlib.pyplot as plt
import numpy as np
from IPython import embed
## beat
data_dir = '../data'
dataset = '2018-11-09-ad-invivo-1'
inch_factor = 2.54
time, eod = read_baseline_eod(os.path.join(data_dir, dataset))
eod_norm = eod - np.mean(eod)
eod_norm = eod_norm[1000:2000]
# 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)
x = np.arange(0., len(eod_norm))
y = np.sin(x*2*np.pi*550)
ampl = eod_norm + 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))
time_axis = np.arange(len(ampl))
plt.plot(time_axis, smooth_eod_freq_beat)
plt.show()
fig, ax = plt.subplots(figsize=(20/inch_factor, 10/inch_factor))
plt.plot(time_axis, ampl)
ax.set_xlabel("time [ms]", fontsize = 22)
plt.xticks(fontsize = 18)
ax.set_ylabel("eod amplitude [mV]", fontsize = 22)
plt.yticks(fontsize = 18)
ax.spines["top"].set_visible(False)
ax.spines["right"].set_visible(False)
fig.tight_layout()
#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()
plt.savefig('beat.png')