{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Demo Scripts for the wfdb-python package\n", "\n", "Run this notebook from the base directory of the git repository to access the included demo files" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Documentation Site\n", "\n", "http://wfdb.readthedocs.io/" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from IPython.display import display\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import numpy as np\n", "import os\n", "import shutil\n", "import posixpath\n", "\n", "import wfdb" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } }, { "output_type": "display_data", "data": { "text/plain": "{'record_name': 'a103l',\n 'n_sig': 3,\n 'fs': 250,\n 'counter_freq': None,\n 'base_counter': None,\n 'sig_len': 82500,\n 'base_time': None,\n 'base_date': None,\n 'comments': ['Asystole', 'False alarm'],\n 'sig_name': ['II', 'V', 'PLETH'],\n 'p_signal': array([[-0.02359597, 0.86758555, 0.48220271],\n [-0.03698082, 0.98298479, 0.5443735 ],\n [-0.06292259, 0.85979087, 0.47821229],\n ...,\n [-0.04084449, 0.7493346 , 0.5150838 ],\n [-0.04719194, 0.7581749 , 0.50957702],\n [-0.04677798, 0.7615019 , 0.5028731 ]]),\n 'd_signal': None,\n 'e_p_signal': None,\n 'e_d_signal': None,\n 'file_name': ['a103l.mat', 'a103l.mat', 'a103l.mat'],\n 'fmt': ['16', '16', '16'],\n 'samps_per_frame': [1, 1, 1],\n 'skew': [None, None, None],\n 'byte_offset': [24, 24, 24],\n 'adc_gain': [7247.0, 10520.0, 12530.0],\n 'baseline': [0, 0, 0],\n 'units': ['mV', 'mV', 'NU'],\n 'adc_res': [16, 16, 16],\n 'adc_zero': [0, 0, 0],\n 'init_value': [-171, 9127, 6042],\n 'checksum': [-27403, -301, -17391],\n 'block_size': [0, 0, 0]}" }, "metadata": {} } ], "source": [ "# Demo 1 - Read a WFDB record using the 'rdrecord' function into a wfdb.Record object.\n", "# Plot the signals, and show the data.\n", "record = wfdb.rdrecord('sample-data/a103l') \n", "wfdb.plot_wfdb(record=record, title='Record a103l from PhysioNet Challenge 2015') \n", "display(record.__dict__)\n", "\n", "# Can also read the same files hosted on PhysioNet https://physionet.org/content/challenge-2015/1.0.0\n", "# in the /training/ database subdirectory.\n", "record2 = wfdb.rdrecord('a103l', pn_dir='challenge-2015/training/')" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "array([[ 0.0335, -0.167 , -0.237 , 0.1165],\n [ 0.0355, -0.1615, -0.2395, 0.119 ],\n [ 0.0385, -0.168 , -0.2465, 0.116 ],\n ...,\n [-0.0445, 0.008 , 0.033 , 0.045 ],\n [-0.044 , 0.0175, 0.042 , 0.052 ],\n [-0.044 , 0.0245, 0.0365, 0.05 ]])" }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": "{'fs': 1000,\n 'sig_len': 14900,\n 'n_sig': 4,\n 'base_date': None,\n 'base_time': None,\n 'units': ['mV', 'mV', 'mV', 'mV'],\n 'sig_name': ['vz', 'i', 'avf', 'v5'],\n 'comments': ['age: 81',\n 'sex: female',\n 'ECG date: 01/10/1990',\n 'Diagnose:',\n 'Reason for admission: Myocardial infarction',\n 'Acute infarction (localization): infero-latera',\n 'Former infarction (localization): no',\n 'Additional diagnoses: Diabetes mellitus',\n 'Smoker: no',\n 'Number of coronary vessels involved: 1',\n 'Infarction date (acute): 29-Sep-90',\n 'Previous infarction (1) date: n/a',\n 'Previous infarction (2) date: n/a',\n 'Hemodynamics:',\n 'Catheterization date: 16-Oct-90',\n 'Ventriculography: Akinesia inferior wall',\n 'Chest X-ray: Heart size upper limit of norm',\n 'Peripheral blood Pressure (syst/diast): 140/80 mmHg',\n 'Pulmonary artery pressure (at rest) (syst/diast): n/a',\n 'Pulmonary artery pressure (at rest) (mean): n/a',\n 'Pulmonary capillary wedge pressure (at rest): n/a',\n 'Cardiac output (at rest): n/a',\n 'Cardiac index (at rest): n/a',\n 'Stroke volume index (at rest): n/a',\n 'Pulmonary artery pressure (laod) (syst/diast): n/a',\n 'Pulmonary artery pressure (laod) (mean): n/a',\n 'Pulmonary capillary wedge pressure (load): n/a',\n 'Cardiac output (load): n/a',\n 'Cardiac index (load): n/a',\n 'Stroke volume index (load): n/a',\n 'Aorta (at rest) (syst/diast): 160/64 cmH2O',\n 'Aorta (at rest) mean: 106 cmH2O',\n 'Left ventricular enddiastolic pressure: 11 cmH2O',\n 'Left coronary artery stenoses (RIVA): RIVA 70% proximal to ramus diagonalis_2',\n 'Left coronary artery stenoses (RCX): No stenoses',\n 'Right coronary artery stenoses (RCA): No stenoses',\n 'Echocardiography: n/a',\n 'Therapy:',\n 'Infarction date: 29-Sep-90',\n 'Catheterization date: 16-Oct-90',\n 'Admission date: 29-Sep-90',\n 'Medication pre admission: Isosorbit-Dinitrate Digoxin Glibenclamide',\n 'Start lysis therapy (hh.mm): 19:45',\n 'Lytic agent: Gamma-TPA',\n 'Dosage (lytic agent): 30 mg',\n 'Additional medication: Heparin Isosorbit-Mononitrate ASA Diazepam',\n 'In hospital medication: ASA Isosorbit-Mononitrate Ca-antagonist Amiloride+Chlorothiazide Glibenclamide Insulin',\n 'Medication after discharge: ASA Isosorbit-Mononitrate Amiloride+Chlorothiazide Glibenclamide']}" }, "metadata": {} } ], "source": [ "# Demo 2 - Read certain channels and sections of the WFDB record using the simplified 'rdsamp' function\n", "# which returns a numpy array and a dictionary. Show the data.\n", "signals, fields = wfdb.rdsamp('sample-data/s0010_re', channels=[14, 0, 5, 10], sampfrom=100, sampto=15000)\n", "display(signals)\n", "display(fields)\n", "\n", "# Can also read the same files hosted on Physionet\n", "signals2, fields2 = wfdb.rdsamp('s0010_re', channels=[14, 0, 5, 10], sampfrom=100, sampto=15000, pn_dir='ptbdb/patient001/')" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "{'record_name': 'drive02',\n 'n_sig': 5,\n 'fs': 15.5,\n 'counter_freq': None,\n 'base_counter': None,\n 'sig_len': 78056,\n 'base_time': None,\n 'base_date': None,\n 'comments': [],\n 'sig_name': ['ECG', 'foot GSR', 'HR', 'marker', 'RESP'],\n 'p_signal': None,\n 'd_signal': None,\n 'e_p_signal': None,\n 'e_d_signal': None,\n 'file_name': ['drive02.dat',\n 'drive02.dat',\n 'drive02.dat',\n 'drive02.dat',\n 'drive02.dat'],\n 'fmt': ['16', '16', '16', '16', '16'],\n 'samps_per_frame': [32, 2, 1, 1, 2],\n 'skew': [None, None, None, None, None],\n 'byte_offset': [None, None, None, None, None],\n 'adc_gain': [1000.0, 1000.0, 1.0001, 100.0, 500.0],\n 'baseline': [0, 0, 0, 0, 0],\n 'units': ['mV', 'mV', 'bpm', 'mV', 'mV'],\n 'adc_res': [16, 16, 16, 16, 16],\n 'adc_zero': [0, 0, 0, 0, 0],\n 'init_value': [-1236, 1802, 75, 0, 5804],\n 'checksum': [14736, 13501, -19070, -9226, -14191],\n 'block_size': [0, 0, 0, 0, 0]}" }, "metadata": {} } ], "source": [ "# Demo 3 - Read a WFDB header file only (without the signals)\n", "record = wfdb.rdheader('sample-data/drive02')\n", "display(record.__dict__)\n", "\n", "# Can also read the same file hosted on Physionet\n", "record2 = wfdb.rdheader('drive02', pn_dir='drivedb')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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}, "metadata": { "needs_background": "light" } } ], "source": [ "# Demo 4 - Read part of a WFDB annotation file into a wfdb.Annotation object, and plot the samples\n", "annotation = wfdb.rdann('sample-data/100', 'atr', sampfrom=100000, sampto=110000)\n", "annotation.fs = 360\n", "wfdb.plot_wfdb(annotation=annotation, time_units='minutes')\n", "\n", "# Can also read the same file hosted on PhysioNet \n", "annotation2 = wfdb.rdann('100', 'atr', sampfrom=100000, sampto=110000, pn_dir='mitdb')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "# Demo 5 - Read a WFDB record and annotation. Plot all channels, and the annotation on top of channel 0.\n", "record = wfdb.rdrecord('sample-data/100', sampto = 15000)\n", "annotation = wfdb.rdann('sample-data/100', 'atr', sampto = 15000)\n", "\n", "wfdb.plot_wfdb(record=record, annotation=annotation,\n", " title='Record 100 from MIT-BIH Arrhythmia Database',\n", " time_units='seconds')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Multiple sample/frame examples\n", "\n", "Although there can only be one base sampling frequency per record, a single WFDB record can store multiple channels with different sampling frequencies, as long as their sampling frequencies can all be expressed by an integer multiple of a base value. This is done by using the `samps_per_frame` attribute in each channel, which indicates the number of samples of each channel present in each frame.\n", "\n", "ie: To capture three signals with sampling frequencies of 120, 240, and 360 Hz, in a single record, they can be combined into a record with `fs=120` and `samps_per_frame = [1, 2, 3]`.\n", "\n", "#### Reading Options\n", "\n", "This package allows signals in records with multiple samples/frame to be read in two ways:\n", "1. smoothed - An uniform mxn numpy is returned as the d_signal or p_signal field. Channels with multiple samples/frame have their values averaged within each frame. This is like the behaviour of the `rdsamp` function of the original WFDB c package. Note that `wfdb.plot_record` only works if the record object has the `p_signals` field.\n", "2. expanded - A list of 1d numpy arrays is returned as the e_d_signal or e_p_signal field. All samples for each channel are returned in its respective numpy array. The arrays may have different lengths depending on their `samps_per_frame` values.\n", "\n", "Set the `smooth_frames` *(default=True)* option in `rdrecord` to return the desired signal type." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Multisegment waveform examples\n", "\n", "The following sections load and plots waveforms from the MIMIC matched waveform database. These waveforms have been matched to clinical data in the MIMIC Clinical database. The input records are multi-segment (made up of multiple individual WFDB records) and relatively long.\n", "\n", "Note that these kinds of records contain segments in which certain channels are missing. matplotlib automatically zooms in on sections without Nans in individual channels but the entire durations of the signals input into plotrec are actually plotted. \n", "\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } }, { "output_type": "display_data", "data": { "text/plain": "(array([[ nan],\n [ nan],\n [ nan],\n ...,\n [0.52156863],\n [0.51764706],\n [0.51764706]]),\n {'fs': 125,\n 'sig_len': 2000,\n 'n_sig': 1,\n 'base_date': None,\n 'base_time': datetime.time(16, 57, 39),\n 'units': ['NU'],\n 'sig_name': ['PLETH'],\n 'comments': []})" }, "metadata": {} } ], "source": [ "# Demo 6 - Read the multi-segment record and plot waveforms from the MIMIC matched waveform database. \n", "record = wfdb.rdrecord('sample-data/multi-segment/p000878/3269321_0001')\n", "wfdb.plot_wfdb(record=record, title='Record p000878/3269321_0001') \n", "display(record.__dict__)\n", "\n", "# Can also read the same files hosted on PhysioNet (takes long to stream the many large files)\n", "signals, fields = wfdb.rdsamp('3269321_0001', pn_dir = 'mimic3wdb/matched/p00/p000878')\n", "wfdb.plot_items(signal=signals, fs=fields['fs'], title='Record p000878/3269321_0001')\n", "display((signals, fields))" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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"# Demo 7 - Read the multi-segment record and plot waveforms from the MIMIC matched waveform database.\n", "# Notice that some channels have no valid values to plot\n", "record = wfdb.rdrecord('sample-data/multi-segment/p000878/3269321_0001',\n", " sampfrom=300, sampto=1000)\n", "wfdb.plot_wfdb(record, title='Record p000878/3269321_0001') \n", "display(record.__dict__)\n", "\n", "# Can also read the same files hosted on Physionet\n", "record2 = wfdb.rdrecord('3269321_0001', sampfrom=300, sampto=1000,\n", " pn_dir = 'mimic3wdb/matched/p00/p000878')" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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}, "metadata": { "needs_background": "light" } } ], "source": [ "# Demo 8 - Read a WFDB record in which one channel has multiple samples/frame. Return a smoothed uniform array.\n", "record = wfdb.rdrecord('sample-data/test01_00s_frame')\n", "wfdb.plot_wfdb(record)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "from IPython.display import display\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import numpy as np\n", "import os\n", "import shutil\n", "import posixpath\n", "\n", "import wfdb" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "[array([ 0.1 , 0.11, 0.13, ..., -0.27, -0.27, -0.26]),\n array([-0.08, -0.57, -0.06, ..., 0.13, -0.18, 0.12]),\n array([-0.66, -0.66, -0.67, ..., 0.15, 0.15, 0.16])]" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": "[4000, 8000, 4000]\n" } ], "source": [ "# Demo 9 - Read a WFDB record in which one channel has multiple samples/frame. Return a list of all the expanded samples.\n", "record = wfdb.rdrecord('sample-data/test01_00s_frame', smooth_frames=False)\n", "\n", "display(record.e_p_signal)\n", "# Show that different channels have different lengths. Channel 1 has 2 samples/frame, hence has 2x as many samples.\n", "print([len(s) for s in record.e_p_signal])\n", "\n", "# wfdb.plotrec doesn't work because the Record object is missing its p_signals field." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Writing Records and Annotations" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Demo 10 - Read a WFDB record's digital samples and create a copy via the wrsamp() instance method of the Record object.\n", "\n", "# Read a record as a Record object.\n", "record = wfdb.rdrecord('sample-data/100', physical=False)\n", "record.record_name = '100x'\n", "\n", "# Call the instance method of the object\n", "record.wrsamp()\n", "\n", "# The new file can be read\n", "record_x = wfdb.rdrecord('100x')\n", "\n", "# Cleanup: delete the created files\n", "# os.remove('100x.hea')\n", "# os.remove('100.dat')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Demo 11 - Write a WFDB record without using a Record object via the gateway wrsamp function.\n", "# This is the basic way to write physical signals to a WFDB file. \n", "\n", "# Read part of a record from Physionet\n", "sig, fields = wfdb.rdsamp('a103l', sampfrom=50000, channels=[0,1], pn_dir='challenge-2015/training')\n", "\n", "# Call the gateway wrsamp function, manually inserting fields as function input parameters\n", "wfdb.wrsamp('ecg-record', fs=250, units=['mV', 'mV'], sig_name=['I', 'II'], p_signal=sig, fmt=['16', '16'])\n", "\n", "# The new file can be read\n", "record = wfdb.rdrecord('ecg-record')\n", "\n", "# Cleanup: delete the created files\n", "# os.remove('ecg-record.hea')\n", "# os.remove('ecg-record.dat')" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "wfdb.plot_wfdb(record)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from IPython.display import display\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import numpy as np\n", "import os\n", "import shutil\n", "import posixpath\n", "\n", "\n", "import wfdb" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Demo 12 - Write a WFDB record with multiple samples/frame in a channel\n", "\n", "# Read a record as a Record object.\n", "record = wfdb.rdrecord('sample-data/test01_00s_frame', physical=False, smooth_frames=False)\n", "record.record_name = 'test01_00s_framex'\n", "\n", "# Call the instance method of the object with expanded=True to write the record using the e_d_signal field\n", "record.wrsamp(expanded=True)\n", "\n", "# The new file can be read\n", "recordx = wfdb.rdrecord('test01_00s_framex')\n", "\n", "# Cleanup: deleted the created files\n", "# os.remove('test01_00s_framex.hea')\n", "# os.remove('test01_00s.dat')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Demo 13 - Read a WFDB annotation file and create a copy via the wrann() instance method\n", "# of the Annotation object\n", "\n", "# Read an annotation from Physionet\n", "annotation = wfdb.rdann('sample-data/100', 'atr')\n", "annotation.extension = 'cpy'\n", "\n", "# Call the instance method of the object\n", "annotation.wrann()\n", "\n", "# The new file can be read\n", "annotation_copy = wfdb.rdann('100', 'cpy')\n", "\n", "# Cleanup: deleted the created files\n", "# os.remove('100.cpy')" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# Demo 14 - Write a WFDB annotation file without using an Annotator\n", "# object via the gateway wrann function.\n", "\n", "# Read an annotation as an Annotation object\n", "annotation = wfdb.rdann('b001', 'atr', pn_dir='cebsdb')\n", "\n", "# Call the gateway wrann function, manually inserting fields as function input parameters\n", "wfdb.wrann('b001', 'cpy', annotation.sample, annotation.symbol)\n", "\n", "# The new file can be read\n", "annotation_copy = wfdb.rdann('b001', 'cpy')\n", "\n", "# Cleanup: deleted the created files\n", "# os.remove('b001.cpy')" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "label_store symbol description\n0 0 Not an actual annotation\n1 1 N Normal beat\n2 2 L Left bundle branch block beat\n3 3 R Right bundle branch block beat\n4 4 a Aberrated atrial premature beat\n5 5 V Premature ventricular contraction\n6 6 F Fusion of ventricular and normal beat\n7 7 J Nodal (junctional) premature beat\n8 8 A Atrial premature contraction\n9 9 S Premature or ectopic supraventricular beat\n10 10 E Ventricular escape beat\n11 11 j Nodal (junctional) escape beat\n12 12 / Paced beat\n13 13 Q Unclassifiable beat\n14 14 ~ Signal quality change\n16 16 | Isolated QRS-like artifact\n18 18 s ST change\n19 19 T T-wave change\n20 20 * Systole\n21 21 D Diastole\n22 22 \" Comment annotation\n23 23 = Measurement annotation\n24 24 p P-wave peak\n25 25 B Left or right bundle branch block\n26 26 ^ Non-conducted pacer spike\n27 27 t T-wave peak\n28 28 + Rhythm change\n29 29 u U-wave peak\n30 30 ? Learning\n31 31 ! Ventricular flutter wave\n32 32 [ Start of ventricular flutter/fibrillation\n33 33 ] End of ventricular flutter/fibrillation\n34 34 e Atrial escape beat\n35 35 n Supraventricular escape beat\n36 36 @ Link to external data (aux_note contains URL)\n37 37 x Non-conducted P-wave (blocked APB)\n38 38 f Fusion of paced and normal beat\n39 39 ( Waveform onset\n40 40 ) Waveform end\n41 41 r R-on-T premature ventricular contraction\n" } ], "source": [ "# Demo 15 - View the standard WFDB annotation labels\n", "wfdb.show_ann_labels()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Downloading Content from Physionet\n", "\n", "- The downloads are made via http\n", "- See the above demos for examples on streaming WFDB files stored in PhysioNet without downloading them to local disk\n", "- PhysioNet has rsync modules for downloading entire databases for users who have access to rsync. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "[['aami-ec13', 'ANSI/AAMI EC13 Test Waveforms'],\n ['adfecgdb', 'Abdominal and Direct Fetal ECG Database'],\n ['afdb', 'MIT-BIH Atrial Fibrillation Database'],\n ['afpdb', 'PAF Prediction Challenge Database'],\n ['aftdb', 'AF Termination Challenge Database'],\n ['ahadb', 'AHA Database Sample Excluded Record'],\n ['apnea-ecg', 'Apnea-ECG Database'],\n ['bidmc', 'BIDMC PPG and Respiration Dataset'],\n ['bpssrat', 'Blood Pressure in Salt-Sensitive Dahl Rats'],\n ['capslpdb', 'CAP Sleep Database'],\n ['cdb', 'MIT-BIH ECG Compression Test Database'],\n ['cebsdb', 'Combined measurement of ECG, Breathing and Seismocardiograms'],\n ['cerebral-vasoreg-diabetes', 'Cerebral Vasoregulation in Diabetes'],\n ['charisdb', 'CHARIS database'],\n ['chbmit', 'CHB-MIT Scalp EEG Database'],\n ['chf2db', 'Congestive Heart Failure RR Interval Database'],\n ['chfdb', 'BIDMC Congestive Heart Failure Database'],\n ['crisdb', 'CAST RR Interval Sub-Study Database'],\n ['ct-ich',\n 'Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation'],\n ['ct-ich',\n 'Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation'],\n ['ct-ich',\n 'Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation'],\n ['ct-ich',\n 'Computed Tomography Images for Intracranial Hemorrhage Detection and Segmentation'],\n ['ctu-uhb-ctgdb', 'CTU-CHB Intrapartum Cardiotocography Database'],\n ['cudb', 'CU Ventricular Tachyarrhythmia Database'],\n ['cuiless16', 'CUILESS2016'],\n ['culm', 'Complex Upper-Limb Movements'],\n ['cves', 'Cerebral Vasoregulation in Elderly with Stroke'],\n ['deidentifiedmedicaltext', 'Deidentified Medical Text'],\n ['drivedb', 'Stress Recognition in Automobile Drivers'],\n ['earh', 'Evoked Auditory Responses in Heading Impaired'],\n ['earndb', 'Evoked Auditory Responses in Normals'],\n ['ecgcipa', 'CiPA ECG Validation Study'],\n ['ecgdmmld',\n 'ECG Effects of Dofetilide, Moxifloxacin, Dofetilide+Mexiletine, Dofetilide+Lidocaine and Moxifloxacin+Diltiazem'],\n ['ecgiddb', 'ECG-ID Database'],\n ['ecgrdvq',\n 'ECG Effects of Ranolazine, Dofetilide, Verapamil, and Quinidine'],\n ['edb', 'European ST-T Database'],\n ['eegmat', 'EEG During Mental Arithmetic Tasks'],\n ['eegmmidb', 'EEG Motor Movement/Imagery Dataset'],\n ['ehgdb', 'Icelandic 16-electrode Electrohysterogram Database'],\n ['eicu-crd', 'eICU Collaborative Research Database'],\n ['eicu-crd-demo', 'eICU Collaborative Research Database Demo'],\n ['emgdb', 'Examples of Electromyograms'],\n ['erpbci', 'ERP-based Brain-Computer Interface recordings'],\n ['excluded', 'Recordings excluded from the NSR DB'],\n ['fantasia', 'Fantasia Database'],\n ['fecgsyndb', 'Fetal ECG Synthetic Database'],\n ['fpcgdb', 'Fetal PCG Database'],\n ['gait-maturation-db', 'Gait Maturation Database'],\n ['gaitdb', 'Gait in Aging and Disease Database'],\n ['gaitndd', 'Gait in Neurodegenerative Disease Database'],\n ['gaitpdb', \"Gait in Parkinson's Disease\"],\n ['hbedb', 'Human Balance Evaluation Database'],\n ['iafdb', 'Intracardiac Atrial Fibrillation Database'],\n ['images', 'Samples of MR Images'],\n ['incartdb', 'St Petersburg INCART 12-lead Arrhythmia Database'],\n ['inipdmsa',\n 'Safety and Preliminary Efficacy of Intranasal Insulin for Cognitive Impairment in Parkinson Disease and Multiple System Atrophy'],\n ['kinematic-actors-emotions',\n 'Kinematic dataset of actors expressing emotions'],\n ['ltafdb', 'Long Term AF Database'],\n ['ltdb', 'MIT-BIH Long-Term ECG Database'],\n ['ltmm', 'Long Term Movement Monitoring Database'],\n ['ltrsvp', 'EEG Signals from an RSVP Task'],\n ['ltstdb', 'Long Term ST Database'],\n ['macecgdb', 'Motion Artifact Contaminated ECG Database'],\n ['maternal-visceral-adipose',\n 'Visceral adipose tissue measurements during pregnancy'],\n ['meditation', 'Heart Rate Oscillations during Meditation'],\n ['mednli',\n 'MedNLI - A Natural Language Inference Dataset For The Clinical Domain'],\n ['mednli-bionlp19', 'MedNLI for Shared Task at ACL BioNLP 2019'],\n ['mednli-bionlp19', 'MedNLI for Shared Task at ACL BioNLP 2019'],\n ['mghdb', 'MGH/MF Waveform Database'],\n ['mimic-cxr', 'MIMIC-CXR Database'],\n ['mimic-cxr', 'MIMIC-CXR Database'],\n ['mimic-cxr-jpg', 'MIMIC-CXR-JPG - chest radiographs with structured labels'],\n ['mimic3wdb', 'MIMIC-III Waveform Database'],\n ['mimic3wdb-matched', 'MIMIC-III Waveform Database Matched Subset'],\n ['mimicdb', 'MIMIC Database'],\n ['mimiciii', 'MIMIC-III Clinical Database'],\n ['mimiciii-demo', 'MIMIC-III Clinical Database Demo'],\n ['mitdb', 'MIT-BIH Arrhythmia Database'],\n ['mmgdb', 'MMG Database'],\n ['motion-artifact', 'Motion Artifact Contaminated fNIRS and EEG Data'],\n ['mssvepdb', 'MAMEM SSVEP Database'],\n ['mvtdb', 'Spontaneous Ventricular Tachyarrhythmia Database'],\n ['nesfdb', 'Noise Enhancement of Sensorimotor Function'],\n ['nifeadb', 'Non-Invasive Fetal ECG Arrhythmia Database'],\n ['nifecgdb', 'Non-Invasive Fetal ECG Database'],\n ['noneeg', 'Non-EEG Dataset for Assessment of Neurological Status'],\n ['nqmitcsxpd', 'neuroQWERTY MIT-CSXPD Dataset'],\n ['nsr2db', 'Normal Sinus Rhythm RR Interval Database'],\n ['nsrdb', 'MIT-BIH Normal Sinus Rhythm Database'],\n ['nstdb', 'MIT-BIH Noise Stress Test Database'],\n ['ob1db', 'OB-1 Fetal ECG Database'],\n ['osv', 'Pattern Analysis of Oxygen Saturation Variability'],\n ['phdsm', 'Permittivity of Healthy and Diseased Skeletal Muscle'],\n ['phdsm', 'Permittivity of Healthy and Diseased Skeletal Muscle'],\n ['phenotype-annotations-mimic',\n 'Phenotype Annotations for Patient Notes in the MIMIC-III Database'],\n ['physiozoo', 'PhysioZoo - mammalian NSR databases'],\n ['picdb', 'Paediatric Intensive Care database'],\n ['picsdb', 'Preterm Infant Cardio-Respiratory Signals Database'],\n ['plantar', 'Modulation of Plantar Pressure and Muscle During Gait'],\n ['pmd', 'A Pressure Map Dataset for In-bed Posture Classification'],\n ['prcp', 'Physiologic Response to Changes in Posture'],\n ['ptb-xl', 'PTB-XL, a large publicly available electrocardiography dataset'],\n ['ptb-xl', 'PTB-XL, a large publicly available electrocardiography dataset'],\n ['ptbdb', 'PTB Diagnostic ECG Database'],\n ['pwave', 'MIT-BIH Arrhythmia Database P-Wave Annotations'],\n ['qde', 'Quantitative Dehydration Estimation'],\n ['qtdb', 'QT Database'],\n ['rvmh1', 'Response to Valsalva Maneuver in Humans'],\n ['santa-fe', 'Santa Fe Time Series Competition Data Set B'],\n ['sddb', 'Sudden Cardiac Death Holter Database'],\n ['sgamp', 'Squid Giant Axon Membrane Potential'],\n ['shareedb',\n 'Smart Health for Assessing the Risk of Events via ECG Database'],\n ['shhpsgdb', 'Sleep Heart Health Study PSG Database'],\n ['simfpcgdb', 'Simulated Fetal Phonocardiograms'],\n ['sleep-accel',\n 'Motion and heart rate from a wrist-worn wearable and labeled sleep from polysomnography'],\n ['sleep-edf', 'Sleep-EDF Database'],\n ['sleep-edfx', 'Sleep-EDF Database Expanded'],\n ['sleepbrl', 'Sleep Bioradiolocation Database'],\n ['slpdb', 'MIT-BIH Polysomnographic Database'],\n ['staffiii', 'STAFF III Database'],\n ['stdb', 'MIT-BIH ST Change Database'],\n ['sufhsdb', 'Shiraz University Fetal Heart Sounds Database'],\n ['svdb', 'MIT-BIH Supraventricular Arrhythmia Database'],\n ['szdb', 'Post-Ictal Heart Rate Oscillations in Partial Epilepsy'],\n ['taichidb', 'Tai Chi, Physiological Complexity, and Healthy Aging - Gait'],\n ['tappy', 'Tappy Keystroke Data'],\n ['tns', 'Surrogate Data with Correlations, Trends, and Nonstationarities'],\n ['tpehgdb', 'Term-Preterm EHG Database'],\n ['tpehgt', 'Term-Preterm EHG DataSet with Tocogram'],\n ['tremordb', 'Effect of Deep Brain Stimulation on Parkinsonian Tremor'],\n ['twadb', 'T-Wave Alternans Challenge Database'],\n ['ucddb',\n \"St. Vincent's University Hospital / University College Dublin Sleep Apnea Database\"],\n ['umwdb', 'Long-term Recordings of Gait Dynamics'],\n ['unicaprop', 'UniCA ElectroTastegram Database (PROP)'],\n ['vfdb', 'MIT-BIH Malignant Ventricular Ectopy Database'],\n ['videopulse', 'Video Pulse Signals in Stationary and Motion Conditions'],\n ['voiced', 'VOice ICar fEDerico II Database'],\n ['wctecgdb', 'Wilson Central Terminal ECG Database'],\n ['wctecgdb', 'Wilson Central Terminal ECG Database'],\n ['wrist', 'Wrist PPG During Exercise']]" }, "metadata": {} } ], "source": [ "# Demo 16 - List the PhysioNet Databases\n", "\n", "dbs = wfdb.get_dbs()\n", "display(dbs)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "Generating record list for: 0001\nGenerating record list for: 0201\nGenerating list of all files for: 0001\nGenerating list of all files for: 0201\nCreated local base download directory: /Users/lucasmc/Documents/wfdb-python/tmp_dl_dir\nDownloading files...\nFinished downloading files\n" }, { "output_type": "display_data", "data": { "text/plain": "['0001.dat', '0201.dat', '0001.hea', '0201.hea', '0201.atr', '0001.atr']" }, "metadata": {} } ], "source": [ "# Demo 17 - Download all the WFDB records and annotations from a small PhysioNet Database\n", "\n", "# Make a temporary download directory in your current working directory\n", "cwd = os.getcwd()\n", "dl_dir = os.path.join(cwd, 'tmp_dl_dir')\n", "\n", "# Download all the WFDB content\n", "wfdb.dl_database('ahadb', dl_dir=dl_dir)\n", "\n", "# Display the downloaded content in the folder\n", "display(os.listdir(dl_dir))\n", "\n", "# Cleanup: delete the downloaded directory\n", "# shutil.rmtree(dl_dir)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "Downloading files...\nFinished downloading files\n" }, { "output_type": "display_data", "data": { "text/plain": "['STAFF-Studies-bibliography-2016.pdf',\n '0001.dat',\n '0201.dat',\n '0001.hea',\n '0201.hea',\n '0201.atr',\n '0001.atr',\n 'data']" }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": "['001b.dat', '001a.dat', '001b.hea', '001a.hea']" }, "metadata": {} } ], "source": [ "# Demo 18 - Download specified files from a PhysioNet database\n", "\n", "# The files to download\n", "file_list = ['STAFF-Studies-bibliography-2016.pdf',\n", " 'data/001a.hea',\n", " 'data/001a.dat',\n", " 'data/001b.hea',\n", " 'data/001b.dat']\n", "\n", "# Make a temporary download directory in your current working directory\n", "cwd = os.getcwd()\n", "dl_dir = os.path.join(cwd, 'tmp_dl_dir')\n", "\n", "# Download the listed files\n", "wfdb.dl_files('staffiii', dl_dir, file_list)\n", "\n", "# Display the downloaded content in the folder\n", "display(os.listdir(dl_dir))\n", "display(os.listdir(os.path.join(dl_dir, 'data')))\n", "\n", "# Cleanup: delete the downloaded directory\n", "# shutil.rmtree(dl_dir)" ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "## ECG Processing" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "import wfdb\n", "from wfdb import processing" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "output_type": "display_data", "data": { "text/plain": "
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}, "metadata": { "needs_background": "light" } }, { "output_type": "stream", "name": "stdout", "text": "Corrected GQRS detected peak indices: [370, 663, 947, 1231, 1515, 1809, 2045, 2403, 2706, 2998, 3283, 3560, 3863, 4171, 4466, 4765, 5061, 5347, 5634, 5919, 6215, 6527, 6824, 7106, 7393, 7670, 7953, 8246, 8539, 8837, 9142, 9432, 9710]\n" }, { "output_type": "display_data", "data": { "text/plain": "
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}, "metadata": { "needs_background": "light" } } ], "source": [ "# Demo 19 - Use the GQRS detection algorithm and correct the peaks\n", "\n", "def peaks_hr(sig, peak_inds, fs, title, figsize=(20, 10), saveto=None):\n", " \"Plot a signal with its peaks and heart rate\"\n", " # Calculate heart rate\n", " hrs = processing.hr.compute_hr(sig_len=sig.shape[0], qrs_inds=peak_inds, fs=fs)\n", " \n", " N = sig.shape[0]\n", " \n", " fig, ax_left = plt.subplots(figsize=figsize)\n", " ax_right = ax_left.twinx()\n", " \n", " ax_left.plot(sig, color='#3979f0', label='Signal')\n", " ax_left.plot(peak_inds, sig[peak_inds], 'rx', marker='x', \n", " color='#8b0000', label='Peak', markersize=12)\n", " ax_right.plot(np.arange(N), hrs, label='Heart rate', color='m', linewidth=2)\n", "\n", " ax_left.set_title(title)\n", "\n", " ax_left.set_xlabel('Time (ms)')\n", " ax_left.set_ylabel('ECG (mV)', color='#3979f0')\n", " ax_right.set_ylabel('Heart rate (bpm)', color='m')\n", " # Make the y-axis label, ticks and tick labels match the line color.\n", " ax_left.tick_params('y', colors='#3979f0')\n", " ax_right.tick_params('y', colors='m')\n", " if saveto is not None:\n", " plt.savefig(saveto, dpi=600)\n", " plt.show()\n", "\n", "# Load the WFDB record and the physical samples\n", "record = wfdb.rdrecord('sample-data/100', sampfrom=0, sampto=10000, channels=[0])\n", "\n", "# Use the GQRS algorithm to detect QRS locations in the first channel\n", "qrs_inds = processing.qrs.gqrs_detect(sig=record.p_signal[:,0], fs=record.fs)\n", "\n", "# Plot results\n", "peaks_hr(sig=record.p_signal, peak_inds=qrs_inds, fs=record.fs,\n", " title=\"GQRS peak detection on record 100\")\n", " \n", "# Correct the peaks shifting them to local maxima\n", "min_bpm = 20\n", "max_bpm = 230\n", "#min_gap = record.fs * 60 / min_bpm\n", "# Use the maximum possible bpm as the search radius\n", "search_radius = int(record.fs * 60 / max_bpm)\n", "corrected_peak_inds = processing.peaks.correct_peaks(record.p_signal[:,0], \n", " peak_inds=qrs_inds,\n", " search_radius=search_radius, \n", " smooth_window_size=150)\n", "\n", "# Display results\n", "print('Corrected GQRS detected peak indices:', sorted(corrected_peak_inds))\n", "peaks_hr(sig=record.p_signal, peak_inds=sorted(corrected_peak_inds), fs=record.fs,\n", " title=\"Corrected GQRS peak detection on sampledata/100\")\n", " " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "output_type": "stream", "name": "stdout", "text": "Learning initial signal parameters...\nFound 8 beats during learning. Initializing using learned parameters\nRunning QRS detection...\nQRS detection complete.\n51 reference annotations, 51 test annotations\n\nTrue Positives (matched samples): 51\nFalse Positives (unmatched test samples): 0\nFalse Negatives (unmatched reference samples): 0\n\nSensitivity: 1.0000 (51/51)\nPositive Predictivity: 1.0000 (51/51)\n" }, { "output_type": "display_data", "data": { "text/plain": "
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\n" }, "metadata": { "needs_background": "light" } } ], "source": [ "# Demo 20 - Use the XQRS detection algorithm and compare results to reference annotations\n", "import wfdb\n", "from wfdb import processing\n", "sig, fields = wfdb.rdsamp('sample-data/100', channels=[0], sampto=15000)\n", "ann_ref = wfdb.rdann('sample-data/100','atr', sampto=15000)\n", "\n", "# Run QRS detection on signal\n", "xqrs = processing.XQRS(sig=sig[:,0], fs=fields['fs'])\n", "xqrs.detect()\n", "# Alternatively, use the gateway function to get the QRS indices directly\n", "# qrs_inds = processing.xqrs_detect(sig=sig[:,0], fs=fields['fs'])\n", "\n", "# Compare detected QRS complexes to reference annotation.\n", "# Note, first sample in 100.atr is not a QRS.\n", "comparitor = processing.compare_annotations(ref_sample=ann_ref.sample[1:],\n", " test_sample=xqrs.qrs_inds,\n", " window_width=int(0.1 * fields['fs']),\n", " signal=sig[:,0])\n", "\n", "# Print and plot the results\n", "comparitor.print_summary()\n", "comparitor.plot(title='xqrs detected QRS vs reference annotations')" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "# Cleanup for all demos\n", "for file in ['100x.hea', '100.dat', # demo 10\n", " 'ecg-record.hea', 'ecg-record.dat', # demo 11 \n", " 'test01_00s_framex.hea', 'test01_00s.dat', # demo 12\n", " '100.cpy', # demo 13\n", " 'b001.cpy', # demo 14\n", " ]:\n", " if os.path.isfile(file):\n", " os.remove(file)\n", "\n", "dl_dir = os.path.join(cwd, 'tmp_dl_dir') # demo 17, 18\n", "if os.path.isdir(dl_dir):\n", " shutil.rmtree(dl_dir)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "import wfdb\n", "record_no_skew = wfdb.rdrecord('sample-data/test01_00s_skewframe',\n", " physical=False,\n", " smooth_frames=False, ignore_skew=True)\n", "record_no_skew.wrsamp(expanded=True)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": "10" }, "metadata": {}, "execution_count": 9 } ], "source": [ "import numpy as np\n", "int_types = (int, np.int64, np.int32, np.int16, np.int8)\n", "\n", "int_types[0]('10')" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.6.8 64-bit ('venv': venv)", "language": "python", "name": "python36864bitvenvvenv58473f8bda094ef9aa6ed211ab9dbdfe" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.8-final" } }, "nbformat": 4, "nbformat_minor": 1 }