Skip to content

xzwbzhang/ecgtk

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

96 Commits
 
 
 
 
 
 
 
 

Repository files navigation

ECGtk

Provide a toolkit with some simple functions for processing electrocardiograms (ECGs).

wfdbtools.py

Provide some functions to read wfdb ECG files from Physionet.

>> from wfdbtools import rdsamp, rdann, plot_data
>> from pprint import pprint

# Record is a format 212 record from physiobank.
# Note that name of record does not include extension.
>> record  = 'samples/format212/100'

# Read in the data from 0 to 10 seconds
>> data, info = rdsamp(record, 0, 10)
# returned data is an array. The columns are time(samples),
# time(seconds), signal1, signal2
>> print data.shape
(3600, 4)
>> pprint info
{'first_values': [995, 1011],
'gains': [200, 200],
'samp_count': 650000,
'samp_freq': 360,
'signal_names': ['MLII', 'V5'],
'zero_values': [1024, 1024]}

# And now read the annotation
>> ann = rdann(record, 'atr', 0, 10)
>> print(ann[:4,:])
   array([[  18.   ,    0.05 ,   28.   ],
          [  77.   ,    0.214,    1.   ],
          [ 370.   ,    1.028,    1.   ],
          [ 662.   ,    1.839,    1.   ]])


# Plot the data and the mark the annotations
>> plot_data(data, info, ann)

Detailed documentation at http://rajas.github.com/ecgtk/

About

Toolkit in python for ecg analysis

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%