Examples

import numpy
from matplotlib import pyplot
from pycollect import GEDevice, GEDecode, database, measures

Read RAW file

The PyCollect library include a set of prerecorded database for debug purposes.

for raw in database.RAWS_ABSPATH:
    print("RAW file path: {}".format(raw))

RAW file path: /usr/lib/python3.6/site-packages/pycollect-1.0-py3.6.egg/pycollect/database/db02.raw
RAW file path: /usr/lib/python3.6/site-packages/pycollect-1.0-py3.6.egg/pycollect/database/db00.raw
RAW file path: /usr/lib/python3.6/site-packages/pycollect-1.0-py3.6.egg/pycollect/database/db01.raw

# Read the file
file = open(database.RAWS_ABSPATH[1], 'rb')
data = file.read()
data = data[:int(4e4)]
file.close()

decoder = GEDecode(data)

# Buffer and modules
print("Buffer size: {} bytes".format(len(decoder.BUFFER)))
print("Modules detected: {}".format(decoder.MODULES))
print("Modules active: {}".format(decoder.MODULES_ACTIVE))

# Available labels
print("Trends: {}".format(decoder.DATA_SUBRECORD.columns.tolist()))
print("Waves: {}".format(list(decoder.DATA_WAVE.keys())))

pyplot.figure(figsize=(12,6), dpi=200)
pyplot.plot(decoder.DATA_SUBRECORD['ENTROPY RE'])
pyplot.legend(['ENTROPY RE'])

pyplot.figure(figsize=(12,6), dpi=200)
pyplot.plot(decoder.DATA_WAVE['ENT_100']['values'][:500])
pyplot.legend(['ENT_100'])

pyplot.figure(figsize=(12,6), dpi=200)
pyplot.plot(decoder.DATA_WAVE['PLETH']['values'][:500])
pyplot.legend(['PLETH'])

Buffer size: 40000 bytes
Modules detected: ['INV-BP (p1)', 'INV-BP (p2)', 'ECG', 'NIBP', 'SpO2', 'NMT', 'ECG-EXTRA', 'ECG-ARRH', 'ECG-12', 'NMT2', 'ENTROPY']
Modules active: ['ECG', 'NIBP', 'SpO2', 'NMT', 'ECG-EXTRA', 'ECG-ARRH', 'ECG-12', 'NMT2', 'ENTROPY']
Trends: ['AA', 'AA ET', 'AA FI', 'AA MAC-SUM', 'AA2 MAC-AGE-SUM', 'AA: CLBR', 'AA: MNS', 'BAL-GAS ET', 'BAL-GAS FI', 'CO-WEDGE CO', 'CO-WEDGE CO-AGE', 'CO-WEDGE PCWP', 'CO-WEDGE PCWP-AGE', 'CO-WEDGE REF', 'CO-WEDGE TEMP', 'CO2 ET', 'CO2 FI', 'CO2 LBL', 'CO2 PAMB', 'CO2 RR', 'CO2: ALK', 'CO2: AP', 'CO2: CLBR', 'CO2: CS', 'CO2: MNS', 'CO2: OC', 'CO2: ZS', 'ECG HR', 'ECG HR-SRC', 'ECG IMP-RR', 'ECG LEAD-CH1', 'ECG LEAD-CH2', 'ECG LEAD-CH3', 'ECG ST1', 'ECG ST2', 'ECG ST3', 'ECG-12 LEAD-CH1', 'ECG-12 LEAD-CH2', 'ECG-12 LEAD-CH3', 'ECG-12 STAVF', 'ECG-12 STAVL', 'ECG-12 STAVR', 'ECG-12 STI', 'ECG-12 STII', 'ECG-12 STIII', 'ECG-12 STV1', 'ECG-12 STV2', 'ECG-12 STV3', 'ECG-12 STV4', 'ECG-12 STV5', 'ECG-12 STV6', 'ECG-ARRH HR', 'ECG-ARRH PVC', 'ECG-ARRH RR', 'ECG-EXTRA: HR', 'ECG-EXTRA: HR-MAX', 'ECG-EXTRA: HR-MIN', 'ECG: AR', 'ECG: ASY', 'ECG: CH1', 'ECG: CH2', 'ECG: CH3', 'ECG: LRN', 'ECG: NS', 'ECG: PCR', 'EEG EEG1-ALPHA', 'EEG EEG1-AMPL', 'EEG EEG1-BETA', 'EEG EEG1-BSR', 'EEG EEG1-DELTA', 'EEG EEG1-MNF', 'EEG EEG1-SFR', 'EEG EEG1-THETA', 'EEG EEG2-ALPHA', 'EEG EEG2-AMPL', 'EEG EEG2-BETA', 'EEG EEG2-BSR', 'EEG EEG2-DELTA', 'EEG EEG2-MF', 'EEG EEG2-SFR', 'EEG EEG2-THETA', 'EEG EEG3 BSR', 'EEG EEG3-ALPHA', 'EEG EEG3-AMPL', 'EEG EEG3-BETA', 'EEG EEG3-DELTA', 'EEG EEG3-MF', 'EEG EEG3-SEF', 'EEG EEG3-THETA', 'EEG EEG4-ALPHA', 'EEG EEG4-AMPL', 'EEG EEG4-BETA', 'EEG EEG4-BSR', 'EEG EEG4-DELTA', 'EEG EEG4-MF', 'EEG EEG4-SEF', 'EEG EEG4-THETA', 'EEG FEMG', 'EEG-BIS', 'EEG-BIS EMG', 'EEG-BIS SQI', 'EEG-BIS SR', 'EEG2 CH1M', 'EEG2 CH1P', 'EEG2 CH2M', 'EEG2 CH2P', 'EEG2 CH3M', 'EEG2 CH3P', 'EEG2 CH4M', 'EEG2 CH4P', 'EEG2 COMMON', 'EEG: CH1-ARTF', 'EEG: CH1-LEADS', 'EEG: CH1-NS', 'EEG: CH2-ARTF', 'EEG: CH2-LEADS', 'EEG: CH2-NS', 'EEG: CH3-ARTF', 'EEG: CH3-LEADS', 'EEG: CH3-NS', 'EEG: CH4-ARTF', 'EEG: CH4-LEADS', 'EEG: CH4-NS', 'EEG: EP', 'EEG: HEAD', 'EEG: MONTAGE', 'EEG: MSN', 'EEG: SSEP', 'ENTROPY BSR', 'ENTROPY RE', 'ENTROPY SE', 'FLOW-VOL COMP', 'FLOW-VOL MV-EXP', 'FLOW-VOL PEEP', 'FLOW-VOL PPEAK', 'FLOW-VOL PPLAT', 'FLOW-VOL RR', 'FLOW-VOL TV-EXP', 'FLOW-VOL TV-INSP', 'FLOW-VOL2 EPEEP', 'FLOW-VOL2 EXPTIME', 'FLOW-VOL2 IERATIO', 'FLOW-VOL2 IPEEP', 'FLOW-VOL2 ISPTIME', 'FLOW-VOL2 MVESEX', 'FLOW-VOL2 MVINSP', 'FLOW-VOL2 Pmean', 'FLOW-VOL2 RAW', 'FLOW-VOL2 STCCOMP', 'FLOW-VOL2 STCPEEPE', 'FLOW-VOL2 STCPEEPI', 'FLOW-VOL2 STCPPLAT', 'FLOW-VOL: CLBR', 'FLOW-VOL: DIS', 'FLOW-VOL: LK', 'FLOW-VOL: MSR', 'FLOW-VOL: OBS', 'FLOW-VOL: ZR', 'GASEX EE', 'GASEX RQ', 'GASEX VCO2', 'GASEX VO2', 'INV-BP DIA (p1)', 'INV-BP DIA (p2)', 'INV-BP DIA (p3)', 'INV-BP DIA (p4)', 'INV-BP DIA (p5)', 'INV-BP DIA (p6)', 'INV-BP HR (p1)', 'INV-BP HR (p2)', 'INV-BP HR (p3)', 'INV-BP HR (p4)', 'INV-BP HR (p5)', 'INV-BP HR (p6)', 'INV-BP LBL (p1)', 'INV-BP LBL (p2)', 'INV-BP LBL (p3)', 'INV-BP LBL (p4)', 'INV-BP LBL (p5)', 'INV-BP LBL (p6)', 'INV-BP MEAN (p1)', 'INV-BP MEAN (p2)', 'INV-BP MEAN (p3)', 'INV-BP MEAN (p4)', 'INV-BP MEAN (p5)', 'INV-BP MEAN (p6)', 'INV-BP SYS (p1)', 'INV-BP SYS (p2)', 'INV-BP SYS (p3)', 'INV-BP SYS (p4)', 'INV-BP SYS (p5)', 'INV-BP SYS (p6)', 'INV-BP: ZR (p1)', 'INV-BP: ZR (p2)', 'INV-BP: ZR (p3)', 'INV-BP: ZR (p4)', 'INV-BP: ZR (p5)', 'INV-BP: ZR (p6)', 'N2O ET', 'N2O FI', 'N2O: CLBR', 'N2O: MNS', 'NIBP CUFF', 'NIBP DIA', 'NIBP HR', 'NIBP MEAN', 'NIBP SYS', 'NIBP: AUTO', 'NIBP: CLBR', 'NIBP: MSR', 'NIBP: OLD', 'NIBP: STASIS', 'NIBP: STAT', 'NMT PTC-COUNT', 'NMT PTC-DB-COUNT', 'NMT PTC-ST-COUNT', 'NMT PTC-STIM', 'NMT PTC-TOF-COUNT', 'NMT STM', 'NMT T1', 'NMT TIME', 'NMT TRATIO', 'NMT2 T1', 'NMT2 T2', 'NMT2 T3', 'NMT2 T4', 'NMT: CLBR', 'NMT: SUP', 'O2 ET', 'O2 FI', 'SpO2', 'SpO2 IR-AMP', 'SpO2 LBL', 'SpO2 PR', 'SpO2 [SO2|SaO2|SvO2]', 'SvO2', 'TEMP (t1)', 'TEMP (t2)', 'TEMP (t3)', 'TEMP (t4)', 'TEMP LBL (t1)', 'TEMP LBL (t2)', 'TEMP LBL (t3)', 'TEMP LBL (t4)', 'TONO CMPA', 'TONO P(r-Et)CO2', 'TONO P(r-a)CO2', 'TONO PADELAY', 'TONO PAMB', 'TONO PHI', 'TONO PHIDELAY', 'TONO PrCO2', 'TONO: LEAK', 'TONO: OVER', 'TONO: TECHFAIL', 'TONO: UNFILL', 'TONO: VOLDR', 'datetime']
Waves: ['PLETH', 'ENT_100']

<matplotlib.legend.Legend at 0x7f4442e442b0>
../_images/research_4_2.png ../_images/research_4_3.png ../_images/research_4_4.png

Read from monitor

device = GEDevice(database.RAWS_ABSPATH[0])
decoder = GEDecode(device.BUFFER)
# device.connect('/dev/ttyUSB0')

The monitor will send all subrecords data but the waves need an explicit request.

default = device.DEFAULT_REQUEST
print("Default data requested: {}".format(default))

# Activate the trends transmission
device.request(subtype=device.DISPL)

# Activate the waves transmission
device.request(waveform_set=['ENT_100', 'PLETH'])

Default data requested: ['date', 'ENTROPY RE', 'ENTROPY SE', 'ENTROPY BSR', 'NIBP SYS', 'NIBP DIA', 'NIBP MEAN', 'ECG IMP-RR', 'ECG HR', 'TEMP (t1)', 'CO2 FI', 'CO2 ET', 'ECG1', 'ENT_100', 'PLETH']

# Start the asynchronous data collecting and process
device.collect(True)
decoder.process(True)

import time
time.sleep(20)

# Buffer and modules
print("Buffer size: {} bytes".format(len(decoder.BUFFER)))
print("Modules detected: {}".format(decoder.MODULES))
print("Modules active: {}".format(decoder.MODULES_ACTIVE))

# Available labels
print("Trends: {}".format(decoder.DATA_SUBRECORD.columns.tolist()))
print("Waves: {}".format(list(decoder.DATA_WAVE.keys())))

Buffer size: 17432 bytes
Modules detected: ['INV-BP (p1)', 'INV-BP (p2)', 'ECG', 'NIBP', 'SpO2', 'CO2', 'O2', 'N2O', 'AA', 'FLOW-VOL', 'ECG-EXTRA', 'ECG-ARRH', 'ECG-12', 'ENTROPY', 'FLOW-VOL2', 'BAL-GAS', 'AA2']
Modules active: ['ECG', 'NIBP', 'SpO2', 'CO2', 'O2', 'N2O', 'AA', 'FLOW-VOL', 'ECG-EXTRA', 'ECG-ARRH', 'ECG-12', 'ENTROPY', 'FLOW-VOL2', 'BAL-GAS', 'AA2']
Trends: ['AA', 'AA ET', 'AA FI', 'AA MAC-SUM', 'AA2 MAC-AGE-SUM', 'AA: CLBR', 'AA: MNS', 'BAL-GAS ET', 'BAL-GAS FI', 'CO-WEDGE CO', 'CO-WEDGE CO-AGE', 'CO-WEDGE PCWP', 'CO-WEDGE PCWP-AGE', 'CO-WEDGE REF', 'CO-WEDGE TEMP', 'CO2 ET', 'CO2 FI', 'CO2 LBL', 'CO2 PAMB', 'CO2 RR', 'CO2: ALK', 'CO2: AP', 'CO2: CLBR', 'CO2: CS', 'CO2: MNS', 'CO2: OC', 'CO2: ZS', 'ECG HR', 'ECG HR-SRC', 'ECG IMP-RR', 'ECG LEAD-CH1', 'ECG LEAD-CH2', 'ECG LEAD-CH3', 'ECG ST1', 'ECG ST2', 'ECG ST3', 'ECG-12 LEAD-CH1', 'ECG-12 LEAD-CH2', 'ECG-12 LEAD-CH3', 'ECG-12 STAVF', 'ECG-12 STAVL', 'ECG-12 STAVR', 'ECG-12 STI', 'ECG-12 STII', 'ECG-12 STIII', 'ECG-12 STV1', 'ECG-12 STV2', 'ECG-12 STV3', 'ECG-12 STV4', 'ECG-12 STV5', 'ECG-12 STV6', 'ECG-ARRH HR', 'ECG-ARRH PVC', 'ECG-ARRH RR', 'ECG-EXTRA: HR', 'ECG-EXTRA: HR-MAX', 'ECG-EXTRA: HR-MIN', 'ECG: AR', 'ECG: ASY', 'ECG: CH1', 'ECG: CH2', 'ECG: CH3', 'ECG: LRN', 'ECG: NS', 'ECG: PCR', 'EEG EEG1-ALPHA', 'EEG EEG1-AMPL', 'EEG EEG1-BETA', 'EEG EEG1-BSR', 'EEG EEG1-DELTA', 'EEG EEG1-MNF', 'EEG EEG1-SFR', 'EEG EEG1-THETA', 'EEG EEG2-ALPHA', 'EEG EEG2-AMPL', 'EEG EEG2-BETA', 'EEG EEG2-BSR', 'EEG EEG2-DELTA', 'EEG EEG2-MF', 'EEG EEG2-SFR', 'EEG EEG2-THETA', 'EEG EEG3 BSR', 'EEG EEG3-ALPHA', 'EEG EEG3-AMPL', 'EEG EEG3-BETA', 'EEG EEG3-DELTA', 'EEG EEG3-MF', 'EEG EEG3-SEF', 'EEG EEG3-THETA', 'EEG EEG4-ALPHA', 'EEG EEG4-AMPL', 'EEG EEG4-BETA', 'EEG EEG4-BSR', 'EEG EEG4-DELTA', 'EEG EEG4-MF', 'EEG EEG4-SEF', 'EEG EEG4-THETA', 'EEG FEMG', 'EEG-BIS', 'EEG-BIS EMG', 'EEG-BIS SQI', 'EEG-BIS SR', 'EEG2 CH1M', 'EEG2 CH1P', 'EEG2 CH2M', 'EEG2 CH2P', 'EEG2 CH3M', 'EEG2 CH3P', 'EEG2 CH4M', 'EEG2 CH4P', 'EEG2 COMMON', 'EEG: CH1-ARTF', 'EEG: CH1-LEADS', 'EEG: CH1-NS', 'EEG: CH2-ARTF', 'EEG: CH2-LEADS', 'EEG: CH2-NS', 'EEG: CH3-ARTF', 'EEG: CH3-LEADS', 'EEG: CH3-NS', 'EEG: CH4-ARTF', 'EEG: CH4-LEADS', 'EEG: CH4-NS', 'EEG: EP', 'EEG: HEAD', 'EEG: MONTAGE', 'EEG: MSN', 'EEG: SSEP', 'ENTROPY BSR', 'ENTROPY RE', 'ENTROPY SE', 'FLOW-VOL COMP', 'FLOW-VOL MV-EXP', 'FLOW-VOL PEEP', 'FLOW-VOL PPEAK', 'FLOW-VOL PPLAT', 'FLOW-VOL RR', 'FLOW-VOL TV-EXP', 'FLOW-VOL TV-INSP', 'FLOW-VOL2 EPEEP', 'FLOW-VOL2 EXPTIME', 'FLOW-VOL2 IERATIO', 'FLOW-VOL2 IPEEP', 'FLOW-VOL2 ISPTIME', 'FLOW-VOL2 MVESEX', 'FLOW-VOL2 MVINSP', 'FLOW-VOL2 Pmean', 'FLOW-VOL2 RAW', 'FLOW-VOL2 STCCOMP', 'FLOW-VOL2 STCPEEPE', 'FLOW-VOL2 STCPEEPI', 'FLOW-VOL2 STCPPLAT', 'FLOW-VOL: CLBR', 'FLOW-VOL: DIS', 'FLOW-VOL: LK', 'FLOW-VOL: MSR', 'FLOW-VOL: OBS', 'FLOW-VOL: ZR', 'GASEX EE', 'GASEX RQ', 'GASEX VCO2', 'GASEX VO2', 'INV-BP DIA (p1)', 'INV-BP DIA (p2)', 'INV-BP DIA (p3)', 'INV-BP DIA (p4)', 'INV-BP DIA (p5)', 'INV-BP DIA (p6)', 'INV-BP HR (p1)', 'INV-BP HR (p2)', 'INV-BP HR (p3)', 'INV-BP HR (p4)', 'INV-BP HR (p5)', 'INV-BP HR (p6)', 'INV-BP LBL (p1)', 'INV-BP LBL (p2)', 'INV-BP LBL (p3)', 'INV-BP LBL (p4)', 'INV-BP LBL (p5)', 'INV-BP LBL (p6)', 'INV-BP MEAN (p1)', 'INV-BP MEAN (p2)', 'INV-BP MEAN (p3)', 'INV-BP MEAN (p4)', 'INV-BP MEAN (p5)', 'INV-BP MEAN (p6)', 'INV-BP SYS (p1)', 'INV-BP SYS (p2)', 'INV-BP SYS (p3)', 'INV-BP SYS (p4)', 'INV-BP SYS (p5)', 'INV-BP SYS (p6)', 'INV-BP: ZR (p1)', 'INV-BP: ZR (p2)', 'INV-BP: ZR (p3)', 'INV-BP: ZR (p4)', 'INV-BP: ZR (p5)', 'INV-BP: ZR (p6)', 'N2O ET', 'N2O FI', 'N2O: CLBR', 'N2O: MNS', 'NIBP CUFF', 'NIBP DIA', 'NIBP HR', 'NIBP MEAN', 'NIBP SYS', 'NIBP: AUTO', 'NIBP: CLBR', 'NIBP: MSR', 'NIBP: OLD', 'NIBP: STASIS', 'NIBP: STAT', 'NMT PTC-COUNT', 'NMT PTC-DB-COUNT', 'NMT PTC-ST-COUNT', 'NMT PTC-STIM', 'NMT PTC-TOF-COUNT', 'NMT STM', 'NMT T1', 'NMT TIME', 'NMT TRATIO', 'NMT2 T1', 'NMT2 T2', 'NMT2 T3', 'NMT2 T4', 'NMT: CLBR', 'NMT: SUP', 'O2 ET', 'O2 FI', 'SpO2', 'SpO2 IR-AMP', 'SpO2 LBL', 'SpO2 PR', 'SpO2 [SO2|SaO2|SvO2]', 'SvO2', 'TEMP (t1)', 'TEMP (t2)', 'TEMP (t3)', 'TEMP (t4)', 'TEMP LBL (t1)', 'TEMP LBL (t2)', 'TEMP LBL (t3)', 'TEMP LBL (t4)', 'TONO CMPA', 'TONO P(r-Et)CO2', 'TONO P(r-a)CO2', 'TONO PADELAY', 'TONO PAMB', 'TONO PHI', 'TONO PHIDELAY', 'TONO PrCO2', 'TONO: LEAK', 'TONO: OVER', 'TONO: TECHFAIL', 'TONO: UNFILL', 'TONO: VOLDR', 'datetime']
Waves: ['PLETH', 'ENT_100']

# pyplot.figure(figsize=(18,9), dpi=90)
# pyplot.plot(decoder.DATA_SUBRECORD['ENTROPY RE'])
# pyplot.legend(['ENTROPY RE'])

pyplot.figure(figsize=(12,6), dpi=200)
pyplot.plot(numpy.linspace(0, 5, 5*measures.WAVEFORMS_DICT['ENT_100']['samps']), decoder.DATA_WAVE['ENT_100']['values'][:500])
pyplot.title(measures.WAVEFORMS_DICT['ENT_100']['desc'])
pyplot.xlabel('time [s]')
pyplot.ylabel(measures.WAVEFORMS_DICT['ENT_100']['unit'])
pyplot.legend(['ENT_100'])

pyplot.figure(figsize=(12,6), dpi=200)
pyplot.plot(numpy.linspace(0, 5, 5*measures.WAVEFORMS_DICT['PLETH']['samps']), decoder.DATA_WAVE['PLETH']['values'][:500])
pyplot.title(measures.WAVEFORMS_DICT['PLETH']['desc'])
pyplot.xlabel('time [s]')
pyplot.ylabel(measures.WAVEFORMS_DICT['PLETH']['unit'])
pyplot.legend(['PLETH'])

<matplotlib.legend.Legend at 0x7f44425c3d30>
../_images/research_11_1.png ../_images/research_11_2.png

Save data

The data can be saved in two differents formats RAW, SCV and EDF+.

Save data as CSV

decoder.save_as_csv('data_out');

Save data as EDF+

The edf format need extra patient information.

from datetime import datetime

decoder.set_edf_header(
    admincode = '',
    birthdate = datetime(1900, 1, 1).timestamp(), #datetime object
    equipment = '',
    gender = 0, #0 for male, 1 for female
    patientcode = '',
    patientname = '',
    patient_additional = '',
    recording_additional = '',
    technician = '',
)

decoder.save_as_edf('data_out');

Save RAW data

decoder.save_as_raw('raw');

Channels information

List all labels.

subrecords = [g['label'] for g in measures.GROUPS]
print('All subrecords: {}'.format(subrecords))

waves = [g['label'] for g in measures.WAVEFORMS]
print('All waveforms: {}'.format(waves))

All subrecords: ['ECG HR', 'ECG ST1', 'ECG ST2', 'ECG ST3', 'ECG IMP-RR', 'ECG: MOD', 'ECG: ACT', 'ECG: ASY', 'ECG HR-SRC', 'ECG: NS', 'ECG: AR', 'ECG: LRN', 'ECG: PCR', 'ECG: CH1', 'ECG: CH2', 'ECG: CH3', 'ECG LEAD-CH1', 'ECG LEAD-CH2', 'ECG LEAD-CH3', 'INV-BP SYS', 'INV-BP DIA', 'INV-BP MEAN', 'INV-BP HR', 'INV-BP: MOD', 'INV-BP: ACT', 'INV-BP: ZR', 'INV-BP LBL', 'NIBP SYS', 'NIBP DIA', 'NIBP MEAN', 'NIBP HR', 'NIBP: MOD', 'NIBP: ACT', 'NIBP CUFF', 'NIBP: AUTO', 'NIBP: STAT', 'NIBP: MSR', 'NIBP: STASIS', 'NIBP: CLBR', 'NIBP: OLD', 'TEMP', 'TEMP: MOD', 'TEMP: ACT', 'TEMP LBL', 'SpO2', 'SpO2 PR', 'SpO2 IR-AMP', 'SpO2 [SO2|SaO2|SvO2]', 'SpO2: MOD', 'SpO2: ACT', 'SpO2 LBL', 'CO2 ET', 'CO2 FI', 'CO2 RR', 'CO2 PAMB', 'CO2: MOD', 'CO2: ACT', 'CO2: AP', 'CO2: CS', 'CO2: ZS', 'CO2: OC', 'CO2: ALK', 'CO2 LBL', 'O2 ET', 'O2 FI', 'O2: MOD', 'O2: ACT', 'CO2: CLBR', 'CO2: MNS', 'N2O ET', 'N2O FI', 'N2O: MOD', 'N2O: ACT', 'N2O: CLBR', 'N2O: MNS', 'AA ET', 'AA FI', 'AA MAC-SUM', 'AA: MOD', 'AA: ACT', 'AA: CLBR', 'AA: MNS', 'AA', 'FLOW-VOL RR', 'FLOW-VOL PPEAK', 'FLOW-VOL PEEP', 'FLOW-VOL PPLAT', 'FLOW-VOL TV-INSP', 'FLOW-VOL TV-EXP', 'FLOW-VOL COMP', 'FLOW-VOL MV-EXP', 'FLOW-VOL: MOD', 'FLOW-VOL: ACT', 'FLOW-VOL: DIS', 'FLOW-VOL: CLBR', 'FLOW-VOL: ZR', 'FLOW-VOL: OBS', 'FLOW-VOL: LK', 'FLOW-VOL: MSR', 'CO-WEDGE CO', 'CO-WEDGE TEMP', 'CO-WEDGE REF', 'CO-WEDGE PCWP', 'CO-WEDGE: MOD', 'CO-WEDGE: ACT', 'CO-WEDGE CO-AGE', 'CO-WEDGE PCWP-AGE', 'NMT T1', 'NMT TRATIO', 'NMT PTC-COUNT', 'NMT PTC-TOF-COUNT', 'NMT PTC-DB-COUNT', 'NMT PTC-ST-COUNT', 'NMT PTC-STIM', 'NMT: MOD', 'NMT: ACT', 'NMT STM', 'NMT TIME', 'NMT: SUP', 'NMT: CLBR', 'ECG-EXTRA: HR', 'ECG-EXTRA: HR-MAX', 'ECG-EXTRA: HR-MIN', 'ECG-EXTRA: MOD', 'ECG-EXTRA: ACT', 'SvO2', 'SvO2: MOD', 'SvO2: ACT', 'ECG-ARRH HR', 'ECG-ARRH RR', 'ECG-ARRH PVC', 'ECG-ARRH: MOD', 'ECG-ARRH: ACT', 'ECG-12 STI', 'ECG-12 STII', 'ECG-12 STIII', 'ECG-12 STAVL', 'ECG-12 STAVR', 'ECG-12 STAVF', 'ECG-12 STV1', 'ECG-12 STV2', 'ECG-12 STV3', 'ECG-12 STV4', 'ECG-12 STV5', 'ECG-12 STV6', 'ECG-12: MOD', 'ECG-12: ACT', 'ECG-12 LEAD-CH1', 'ECG-12 LEAD-CH2', 'ECG-12 LEAD-CH3', 'NMT2 T1', 'NMT2 T2', 'NMT2 T3', 'NMT2 T4', 'NMT2: MOD', 'NMT2: ACT', 'EEG FEMG', 'EEG EEG1-AMPL', 'EEG EEG1-SFR', 'EEG EEG1-MNF', 'EEG EEG1-DELTA', 'EEG EEG1-THETA', 'EEG EEG1-ALPHA', 'EEG EEG1-BETA', 'EEG EEG1-BSR', 'EEG EEG2-AMPL', 'EEG EEG2-SFR', 'EEG EEG2-MF', 'EEG EEG2-DELTA', 'EEG EEG2-THETA', 'EEG EEG2-ALPHA', 'EEG EEG2-BETA', 'EEG EEG2-BSR', 'EEG EEG3-AMPL', 'EEG EEG3-SEF', 'EEG EEG3-MF', 'EEG EEG3-DELTA', 'EEG EEG3-THETA', 'EEG EEG3-ALPHA', 'EEG EEG3-BETA', 'EEG EEG3 BSR', 'EEG EEG4-AMPL', 'EEG EEG4-SEF', 'EEG EEG4-MF', 'EEG EEG4-DELTA', 'EEG EEG4-THETA', 'EEG EEG4-ALPHA', 'EEG EEG4-BETA', 'EEG EEG4-BSR', 'EEG: MOD', 'EEG: ACT', 'EEG: MSN', 'EEG: MONTAGE', 'EEG: HEAD', 'EEG: SSEP', 'EEG: CH1-LEADS', 'EEG: CH2-LEADS', 'EEG: CH3-LEADS', 'EEG: CH4-LEADS', 'EEG: CH1-ARTF', 'EEG: CH2-ARTF', 'EEG: CH3-ARTF', 'EEG: CH4-ARTF', 'EEG: CH1-NS', 'EEG: CH2-NS', 'EEG: CH3-NS', 'EEG: CH4-NS', 'EEG: EP', 'EEG: MSN', 'EEG-BIS', 'EEG-BIS SQI', 'EEG-BIS EMG', 'EEG-BIS SR', 'EEG-BIS: MOD', 'EEG-BIS: ACT', 'ENTROPY SE', 'ENTROPY RE', 'ENTROPY BSR', 'ENTROPY: MOD', 'ENTROPY: ACT', 'EEG2 COMMON', 'EEG2 CH1M', 'EEG2 CH1P', 'EEG2 CH2M', 'EEG2 CH2P', 'EEG2 CH3M', 'EEG2 CH3P', 'EEG2 CH4M', 'EEG2 CH4P', 'EEG2: MOD', 'EEG2: ACT', 'GASEX VO2', 'GASEX VCO2', 'GASEX EE', 'GASEX RQ', 'GASEX: MOD', 'GASEX: ACT', 'FLOW-VOL2 IPEEP', 'FLOW-VOL2 Pmean', 'FLOW-VOL2 RAW', 'FLOW-VOL2 MVINSP', 'FLOW-VOL2 EPEEP', 'FLOW-VOL2 MVESEX', 'FLOW-VOL2 IERATIO', 'FLOW-VOL2 ISPTIME', 'FLOW-VOL2 EXPTIME', 'FLOW-VOL2 STCCOMP', 'FLOW-VOL2 STCPPLAT', 'FLOW-VOL2 STCPEEPE', 'FLOW-VOL2 STCPEEPI', 'FLOW-VOL2: MOD', 'FLOW-VOL2: ACT', 'BAL-GAS ET', 'BAL-GAS FI', 'BAL-GAS: MOD', 'BAL-GAS: ACT', 'TONO PrCO2', 'TONO P(r-Et)CO2', 'TONO P(r-a)CO2', 'TONO PADELAY', 'TONO PHI', 'TONO PHIDELAY', 'TONO PAMB', 'TONO CMPA', 'TONO: MOD', 'TONO: ACT', 'TONO: LEAK', 'TONO: VOLDR', 'TONO: TECHFAIL', 'TONO: UNFILL', 'TONO: OVER', 'AA2 MAC-AGE-SUM', 'AA2: MOD', 'AA2: ACT']
All waveforms: ['ECG1', 'ECG2', 'ECG3', 'INVP1', 'INVP2', 'INVP3', 'INVP4', 'INVP5', 'INVP6', 'PLETH', 'CO2', 'N2O', 'AA_WAVE', 'AWP', 'FLOW', 'VOL', 'RESP', 'EEG1', 'EEG2', 'EEG3', 'EEG4', 'TONO_PRESS', 'SPI_LOOP_STATUS', 'ENT_100', 'EEG_BIS']

Get all measures from desired group.

group_aa = [g['label'] for g in measures.GROUPS_DICT['AA']]
print('All measures from group AA: {}'.format(group_aa))

All measures from group AA: ['AA ET', 'AA FI', 'AA MAC-SUM', 'AA: MOD', 'AA: ACT', 'AA: CLBR', 'AA: MNS', 'AA']

Inspect a single measure from subrecord or waveform.

# Information about ``AA ET`` (Subrecord)
print('AA ET: {}'.format(measures.LABEL_TO_DICT['AA ET']))

# Information about ``ECG1`` (Waveforms)
print('ECG1: {}'.format(measures.WAVEFORMS_DICT['ECG1']))

AA ET: {'label': 'AA ET', 'name': 'FeAA', 'desc': 'Anesthesia Agents ET', 'key': 'aa:et', 'unit': '%', 'shift': 0.01, 'subclass': 'basic'}
ECG1: {'label': 'ECG1', 'desc': '', 'unit': 'mV', 'shift_': 0.001, 'samps': 300, 'transducer': '', 'prefilter': '', 'physical_min': -0.001, 'physical_max': 0.001}

Other control funtions

# Stop data tranfer from monitor
device.stop()

# Close serial port
device.close()

# Stop internal asynchronous process
device.collect(False)
decoder.process(False)

# Restart decode process
device.collect(True)
decoder.BUFFER = device.BUFFER  #Force reference
decoder.process(True)

# Clear buffer, will require 'restart decode process'
device.clear_buffer()
decoder.clear_data()
decoder.clear_buffer()