from __future__ import division
from numpy import *
from matplotlib.pyplot import *
import _edflib
import stockwell.smt as smt
# eegfile="/mnt/hgfs/clee/Documents/swaineeg/NKT/EEG2100/CA75510M_1-1+_1-2+.edf"
eegfile='/home/clee/Dropbox/data/swainAFIB_CA46803E_1-1+.edf'
open(eegfile)
e=_edflib.Edfreader(eegfile)
# read a short number of samples
a = zeros(2000.0)
e.readsignal(0,0,2000,a)
plot(a)
K=4
N=2000
tapers = smt.calc_tapers(K,N)
#s=smt.mtst(K,tapers,a)
s=smt.mtst(K,tapers,a,0,70)
figure(); imshow(s); axis('auto')
la=zeros(10000,dtype='float64')
#?smt.st
e.readsignal(0,0,len(la),la)
figure();plot(la)
las = smt.st(la, 0,70)
#figure(); plot(las)
rlas = abs(las)
#!/usr/bin/env python
# -*- coding: utf-8 -*
from __future__ import division, print_function, absolute_import
import numpy as np
import _edflib
from stacklineplot import stackplot, figure, plot
from pylab import *
#bdir = r"c:/Users/clee/Documents/My Dropbox/data/swainAFIB_CA46803E_1-1+.edf"
bdir = r"/media/Windows7_OS/Users/clee/Documents/datasets/swaineeg/swainAFIB_CA46803E_1-1+.edf"
e = _edflib.Edfreader(bdir)
signal_labels = []
signal_nsamples = []
def fileinfo(edf):
print("datarecords_in_file", edf.datarecords_in_file)
print("signals_in_file:", edf.signals_in_file)
for ii in range(edf.signals_in_file):
signal_labels.append(edf.signal_label(ii))
print("signal_label(%d)" % ii, edf.signal_label(ii), end='')
print(edf.samples_in_file(ii), edf.samples_in_datarecord(ii), end='')
signal_nsamples.append(edf.samples_in_file(ii))
print(edf.samplefrequency(ii))
fileinfo(e)
L = e.samples_in_file(27)
x1s = 27
a2s = 23
#!/usr/bin/env python
# -*- coding: utf-8 -*
from __future__ import division, print_function, absolute_import
import numpy as np
import _edflib
from stacklineplot import stackplot, figure, plot
from pylab import *
e = _edflib.Edfreader("examples/PA32135H_1-1+_1-2+_1-3+_1-4+.edf")
signal_labels = []
signal_nsamples = []
def fileinfo(edf):
print("datarecords_in_file", edf.datarecords_in_file)
print( "signals_in_file:", edf.signals_in_file)
for ii in range(edf.signals_in_file):
signal_labels.append(edf.signal_label(ii))
print( "signal_label(%d)" % ii, edf.signal_label(ii),end='')
print( edf.samples_in_file(ii), edf.samples_in_datarecord(ii),end='')
signal_nsamples.append(edf.samples_in_file(ii))
print( edf.samplefrequency(ii))
fileinfo(e)
sig1 = np.zeros(2000.0, dtype='float64')
e.readsignal(1,0, 2000, sig1)
nsigs = e.signals_in_file
MAXSIGLEN = 20000
sigbufs = np.zeros((nsigs,MAXSIGLEN), dtype='float64')
# read the first 10 sec
from __future__ import division
import _edflib
import stockwell.smt as smt
_ip.magic("pwd ")
_ip.magic("cd /mnt/hgfs/")
_ip.magic("cd User")
_ip.system("ls -F ")
_ip.magic("cd clee")
_ip.magic("cd Documents/")
_ip.magic("cd swaineeg/")
_ip.system("ls -F ")
_ip.magic("cd NKT/")
_ip.system("ls -F ")
_ip.magic("cd EEG2100/")
_ip.system("ls -F ")
e = _edflib.Edfreader('CA75510M_1-1+_1-2+.edf')
# read a short number of samples
a = zeros(2000.0)
e.readsignal(0, 0, 2000, a)
plot(a)
K = 20
N = 2000
tapers = smt.calc_tapers(K, N)
s = smt.mtst(K, tapers, a)
s = smt.mtst(K, tapers, a, 0, 1000)
K
s.shape
figure()
imshow(s)
import scipy.signal as signal
#!/usr/bin/env python
# -*- coding: utf-8 -*
from __future__ import division, print_function, absolute_import
import numpy as np
import _edflib
from stacklineplot import stackplot, figure, plot
from pylab import *
e = _edflib.Edfreader("shortAFIB_CA46803D_1-1+_1-2+.edf")
signal_labels = []
signal_nsamples = []
def fileinfo(edf):
print("datarecords_in_file", edf.datarecords_in_file)
print("signals_in_file:", edf.signals_in_file)
for ii in range(edf.signals_in_file):
signal_labels.append(edf.signal_label(ii))
print("signal_label(%d)" % ii, edf.signal_label(ii), end='')
print(edf.samples_in_file(ii), edf.samples_in_datarecord(ii), end='')
signal_nsamples.append(edf.samples_in_file(ii))
print(edf.samplefrequency(ii))
def readsignals(edf, start_time, end_time, buf=None):
"""times in seconds"""
# assume same sampling rate for all channels for a moment and use signal#0
assert end_time <= edf.file_duration
# -*- coding: utf-8 -*
from __future__ import division, print_function, absolute_import
import _edflib
from pylab import *
import scipy.signal as signal
import highpassfilter as hpf
import os
if os.path.isfile('ekg.npy'):
ekg = np.load('ekg.npy')
L = len(ekg)
fs = 200
else:
e = _edflib.Edfreader(
r"/home/clee/Dropbox/data/swainAFIB_CA46803E_1-1+.edf")
L = e.samples_in_file(27)
fs = e.samplefrequency(27)
X1 = np.zeros(float(L))
e.readsignal(27, 0, L, X1)
A2 = np.zeros(float(L))
e.readsignal(23, 0, L, A2)
e.close()
ekg = A2 - X1
# may as well clean these up
del X1, A2
# psd(ekg[:2000])
# make a 5Hz filter
