From 67a73331633cbc35b3aa864e489b2f4b551651b3 Mon Sep 17 00:00:00 2001 From: Graham Jones Date: Sat, 23 Dec 2023 21:45:29 +0000 Subject: [PATCH] Added some python scripts to plot HRM raw data --- testing/hrm/.~lock.HRM_data_walking.xlsx# | 1 + testing/hrm/HRM_data_walking.csv | 79053 ++++++++++++++++++ testing/hrm/HRM_data_walking.xlsx | Bin 0 -> 6361246 bytes testing/hrm/hrm.py | 71 + testing/hrm/hrm_heartpy.py | 18 + testing/hrm/log_withGarminOptical_BTHRM.csv | 10068 +++ testing/hrm/plot_1.jpg | Bin 0 -> 36974 bytes 7 files changed, 89211 insertions(+) create mode 100644 testing/hrm/.~lock.HRM_data_walking.xlsx# create mode 100644 testing/hrm/HRM_data_walking.csv create mode 100644 testing/hrm/HRM_data_walking.xlsx create mode 100644 testing/hrm/hrm.py create mode 100644 testing/hrm/hrm_heartpy.py create mode 100644 testing/hrm/log_withGarminOptical_BTHRM.csv create mode 100644 testing/hrm/plot_1.jpg diff --git a/testing/hrm/.~lock.HRM_data_walking.xlsx# b/testing/hrm/.~lock.HRM_data_walking.xlsx# new file mode 100644 index 0000000000..6ed801dd4b --- /dev/null +++ b/testing/hrm/.~lock.HRM_data_walking.xlsx# @@ -0,0 +1 @@ +,graham,tyler,22.12.2023 14:06,file:///home/graham/.config/libreoffice/4; \ No newline at end of file diff --git a/testing/hrm/HRM_data_walking.csv b/testing/hrm/HRM_data_walking.csv new file mode 100644 index 0000000000..3cdd872f60 --- /dev/null +++ b/testing/hrm/HRM_data_walking.csv @@ -0,0 +1,79053 @@ +datetime,raw,offset +14785.77914428710,8190,0 +14785.82257080078,8190,0 +14785.86611938476,8190,0 +14785.90847778320,8126,-16384 +14785.95199584960,8062,-30720 +14785.99551391601,8046,-30976 +14786.0390625,7998,-32768 +14786.08258056640,7870,-32768 +14786.12609863281,7726,-32768 +14786.17224121093,7662,-32768 +14786.21316528320,7566,-32768 +14786.25668334960,7502,-32768 +14786.30017089843,7406,-32768 +14786.34375,7310,-32768 +14786.38723754882,7230,-32768 +14786.43075561523,7118,-32768 +14786.47430419921,7022,-32768 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+import matplotlib.pyplot as plt + +startX = 100 +endX = 110 + + +#fname = "log_withGarminOptical_BTHRM.csv" +fname = "HRM_data_walking.csv" + +#fp = open(fname,'r') + +df = pd.read_csv(fname) +print(df) +#df = df.dropna(subset='PPG_r') +df['timesecs'] = (df['datetime']-df['datetime'].iloc[0]) +df['timediff'] = df['timesecs'] - df['timesecs'].shift(1) + +df['raw_av'] = df['raw'].rolling(5).mean() +df['raw_diff'] = df['raw']-df['raw_av'] + + + +print(df) + + +# Tidy the data a bit +print("Tidying Data...") +#We get big variations where there is a step change in the HRM output +#In this case we just replace the value with the mean (~0) +rawDiffMean = df['raw_diff'].mean() +rawDiffStd = df['raw_diff'].std() + +lowTh = -3*rawDiffStd +highTh = 3*rawDiffStd + +rawDiffOutliers = df[(df['raw_diff'] < lowTh) | (df['raw_diff'] > highTh)] +print(rawDiffOutliers) + +df['raw_diff'] = df['raw_diff'].mask((df['raw_diff'] < lowTh) | (df['raw_diff'] > highTh), 0) +print("Plotting Data") + +newRawDiffOutliers = df[(df['raw_diff'] < lowTh) | (df['raw_diff'] > highTh)] +print(newRawDiffOutliers) + +# Calculate smoothed raw_diff +df['raw_diff_av'] = df['raw_diff'].rolling(10).mean() + + + +fig, ax = plt.subplots(3,1) +fig.set_size_inches(8,10) +df.plot(ax=ax[0], x='timesecs',y='raw') +df.plot(ax=ax[0], x='timesecs',y='raw_av') +df.plot(ax=ax[1], x='timesecs',y='raw_diff') +df.plot(ax=ax[1], x='timesecs',y='raw_diff_av') +df.plot(ax=ax[2], x='timesecs', y='timediff') +ax[0].set(xlim=(startX, endX)) +ax[1].set(xlim=(startX, endX)) +ax[1].grid('both') +ax[2].set(xlim=(startX, endX)) +ax[1].set(ylim=(-500, 500)) +fig.tight_layout() +plt.show() diff --git a/testing/hrm/hrm_heartpy.py b/testing/hrm/hrm_heartpy.py new file mode 100644 index 0000000000..b2d0b1fd26 --- /dev/null +++ b/testing/hrm/hrm_heartpy.py @@ -0,0 +1,18 @@ +import heartpy as hp + +#fname = "log_withGarminOptical_BTHRM.csv" +fname = "HRM_data_walking.csv" + +hrdata = hp.get_data(fname, column_name='raw') +#timerdata = hp.get_data(fname, column_name='datetime') + +print(hrdata) + +#working_data, measures = hp.process(hrdata, hp.get_samplerate_mstimer(timerdata)) +working_data, measures = hp.process(hrdata, 25.0) #25Hz sample rate + +#plot with different title +plotObj = hp.plotter(working_data, measures, title='Heart Beat Detection on Noisy Signal', show=False) + +plotObj.savefig('plot_1.jpg') +plotObj.show() \ No newline at end of file diff --git a/testing/hrm/log_withGarminOptical_BTHRM.csv b/testing/hrm/log_withGarminOptical_BTHRM.csv new file mode 100644 index 0000000000..c60d6334a5 --- /dev/null +++ b/testing/hrm/log_withGarminOptical_BTHRM.csv @@ -0,0 +1,10068 @@ +Time,Acc_x,Acc_y,Acc_z,HRM_b,HRM_c,HRM_r,HRM_f,PPG_r,PPG_o,BTHRM +1703096559144.86,,,,,,,,,,0 +1703096559156.8,,,,,,3390,5120,1695,0, +1703096559178.22,0.06359863281,0.22155761718,-1.009765625,,,,,,, +1703096559182.46,,,,,,3390,4608,1695,0, +1703096559218.99,,,,,,3374,0,1687,0, 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