Signal Analysis using Python - A Heart Rate example
import pandas as pd
from matplotlib.pyplot import plot, scatter, show
from numpy import NaN, Inf, arange, isscalar, asarray, array%matplotlib inlinedf=pd.read_csv("Heart_Rate.csv")df.info()<class 'pandas.core.frame.DataFrame'>
RangeIndex: 6000 entries, 0 to 5999
Data columns (total 1 columns):
Signal 6000 non-null float64
dtypes: float64(1)
memory usage: 46.9 KB
signal=df['Signal'].tolist()plot(signal)[<matplotlib.lines.Line2D at 0x113cc6610>]
plot(signal[0:99])[<matplotlib.lines.Line2D at 0x1141bb190>]
beat_count=0
maxtab=[]
for k in range(1,len(signal)-1):
if(signal[k] > signal[k-1] and signal[k] > signal[k+1] and signal[k] > 1):
maxtab.append(signal[k])
beat_count= beat_count+1
N = len(signal)
fs = 100
duration_in_sec = N/fs
duration_in_min = duration_in_sec/60
BPM = beat_count/duration_in_min
print"Heart Rate:" +str(BPM)Heart Rate:67