Data dictionary v1
Table of contents
- File tree
- Study group
- Control group
- ECG waveform arrays
- ECG metadata
- Amplitude measurements
- Diagnosis
- Interval measurements
- Lead data
- Measurement matrix global
- Measurement matrix per lead bitflg
- Measurement matrix per lead
- Measurement matrix per lead definitions
- Muse info
- Original diagnosis
- Original resting ECG measurements
- Pharma data
- QRS times types
- QRS times types QRS
- Resting ECG measurements
- Waveform
File tree
.
└── arrest-ntuh-ecg
├── control-group
│ ├── 2015
│ │ ├── cohort.csv
│ │ ├── control
│ │ │ └── ecg-metadata
│ │ │ ├── diagnosis.csv
│ │ │ ├── lead-data.csv
│ │ │ ├── measurement-matrix-global.csv
│ │ │ ├── measurement-matrix-per-lead-bitflg.csv
│ │ │ ├── measurement-matrix-per-lead.csv
│ │ │ ├── measurement-matrix-per-lead-definitions.csv
│ │ │ ├── muse-info.csv
│ │ │ ├── original-diagnosis.csv
│ │ │ ├── original-resting-ecg-measurements.csv
│ │ │ ├── pharma-data.csv
│ │ │ ├── qrs-times-types.csv
│ │ │ ├── qrs-times-types-qrs.csv
│ │ │ ├── resting-ecg-measurements.csv
│ │ │ ├── waveform.csv
│ │ │ ├── waveform-median.npy
│ │ │ ├── waveform-npy.csv
│ │ │ └── waveform-rhythm.npy
│ │ ├── ecg.csv
│ │ └── pre
│ │ └── ecg-metadata
│ │ └── ...
│ ├── 2016
│ │ └── ...
│ ├── 2017
│ │ └── ...
│ ├── 2018
│ │ └── ...
│ └── 2019
│ └── ...
└── study-group
├── cohort.csv
├── comorbidities.csv
├── ecg.csv
├── ecg-metadata
│ ├── amplitude-measurements.csv
│ ├── diagnosis.csv
│ ├── interval-measurements.csv
│ ├── lead-data.csv
│ ├── measurement-matrix-global.csv
│ ├── measurement-matrix-per-lead-bitflg.csv
│ ├── measurement-matrix-per-lead.csv
│ ├── measurement-matrix-per-lead-definitions.csv
│ ├── muse-info.csv
│ ├── original-diagnosis.csv
│ ├── original-resting-ecg-measurements.csv
│ ├── pharma-data.csv
│ ├── qrs-times-types.csv
│ ├── qrs-times-types-qrs.csv
│ ├── resting-ecg-measurements.csv
│ ├── waveform.csv
│ ├── waveform-median.npy
│ ├── waveform-npy.csv
│ └── waveform-rhythm.npy
└── rosc-outcomes.csv
The files are organized into two folders, study-group and control-group. The control-group is divided by year and further more into control and pre. The control folder contains the ECGs and ECG metadata for ECGs that were administered on days corresponding with ECGs from the study-group. The pre folder contains ECGs and ECG metadata for ECGs for control patients that were administered prior to that indexing date. Not all control patients have a pre ECG.
Study group
The study group contains the ECGs of the patients whose hearts restarted after cardiac arrest [return of spontaneous circulation, ROSC].
Cohort
cohort.csv
| Name | Description | Sample |
|---|---|---|
| patient_ngsci_id | Unique patient identifier | 100001 |
| year | Year of ECG Cases in 2011-14 are identified in a range | 2011-14 |
| ecg_id | Unique ECG identifier | c8f47f… |
| sex | Sex of patient | female |
| age | Age of patient | 77 |
| birthday_offset | De-identified patient date of birth | 2038-01-17 |
| birthday_weekend | Whether the true patient birthday is on the weekend (Saturday/Sunday) | 0 |
| rosc_datetime_offset | De-identified time of return of spontaneous circulation (ROSC) | 2115-11-22 06:52:00 |
| rosc_datetime_is_weekend | Whether return of spontaneous circulation (ROSC) is on the weekend (Saturday/Sunday) | 0 |
Comorbidities
comorbidities.csv
| Name | Description | Sample |
|---|---|---|
| patient_ngsci_id | Unique patient identifier | 100001 |
| year | Year of ECG Cases in 2011-14 are identified in a range | 2011-14 |
| ecg_id | Unique ECG identifier | c8f47f… |
| dm | Whether patient has diabetes | 1 |
| htn | Whether patient has hypertension | 1 |
| cad | Whether patient has coronary artery disease | 0 |
| hf | Whether patient has heart failure | 0 |
| arrhythmia | Whether patient has arrhythmia | 0 |
| copd_asthma | Whether patient has chronic obstructive pulmonary disease asthma | 0 |
| esrd | Whether patient has end-stage renal disease | 0 |
| cva | Whether patient has cerebral vascular disease | 0 |
ECG
ecg.csv
| Name | Description | Sample |
|---|---|---|
| patient_ngsci_id | Unique patient identifier | 100001 |
| year | Year of ECG Cases in 2011-14 are identified in a range | 2011-14 |
| ecg_id | Unique ECG identifier | c8f47f… |
| acquisition_datetime_offset | De-identified ECG acquisition datetime | 2115-11-22 06:57:00 |
| acquisition_datetime_is_weekend | Whether the true ECG acquisition datetime is on the weekend (Saturday/Sunday) | 0 |
| ecg_timetag | Time classification of ECG relative to return of spontaneous circulation (ROSC). - [0]pre - [1]ROSC - [2]24hr post-ROSC | [1]ROSC |
| rosc | Whether patient has return of spontaneous circulation (ROSC) | 1 |
ROSC outcomes
rosc-outcomes.csv
| Name | Description | Sample |
|---|---|---|
| patient_ngsci_id | Unique patient identifier | 100001 |
| year | Year of ECG Cases in 2011-14 are identified in a range | 2011-14 |
| ecg_id | Unique ECG identifier | c8f47f… |
| pre_arrest_cpc | Patient’s cerebral performance category (CPC) before cardiac arrest. - [1]Good cerebral capability - [2]Moderate cerebral disability - [3]Severe cerebral disability - [4]Coma - [5]Brain death | [1]Good cerebral capability |
| hospitalization_datetime_offset | De-identified date of ED visit | 2115/11/21 17:17 |
| hospitalization_datetime_is_weekend | Whether the true ED visit is on the weekend (Saturday/Sunday) | 0 |
| location_of_cardiac_arrest | Location of cardiac arrest - OHCA: Out-of-hospital cardiac arrest - IHCA: In-hospital cardiac arrest - Other: Other cardiac arrest location | IHCA |
| cause_of_cardiac_arrest | Cause of cardiac arrest. - cardiac event- respiratory event - infectious event- GI bleeding- neurology- others- unknown | cardiac event |
| call_for_help_datetime_offset | De-identified time of call for help | 2115-11-22 06:47:00 |
| call_for_help_datetime_is_weekend | Whether the call for help is on the weekend (Saturday/Sunday) | 0 |
| witnessed_collapse | Whether patient collapse was witnessed | 1 |
| initial_rhythm | Initial ECG rhythm. - asystole - PEA pulseless electrical activity - VT/VF - others; include pacemaker rhythm | PEA |
| epinerphine_dose | Dose of epinephrine in mg | 2 |
| dc_shock | Whether direct current (DC) shock was delivered to patient | 0 |
| number_of_dc_shocks | Number of direct current (DC) shocks delivered to patient | 0 |
| therapeutic_hypothermia | Whether patient has therapeutic hypothermia | 0 |
| ecmo | Whether patient has extracorporeal membrane oxygenation (ECMO) during cardiopulmonary resuscitation (CPR) | 1 |
| pci | Whether patient has percutaneous coronary intervention (PCI) in early post-cardiac arrest period | 0 |
| cpr_duration | Duration of CPR | 5 |
| cpr_start_datetime_offset | De-identified time of starting CPR | 2115-11-22 06:47:00 |
| cpr_start_datetime_is_weekend | Whether CPR is on the weekend (Saturday/Sunday) | 0 |
| icu_admission | Whether patient had intensive care unit (ICU) admission | 1 |
| icu_discharge_survival | Whether patient is alive at ICU discharge | 1 |
| icu_discharge_gcs | Glasgow Coma Scale (GCS) score at ICU discharge | E4M5V5 |
| icu_discharge_total_gcs | Total Glasgow Coma Scale (GCS) score at ICU discharge | 14 |
| icu_discharge_cpc | Patient’s cerebral performance category (CPC) at ICU discharge - [1]Good cerebral capability - [2]Moderate cerebral disability - [3]Severe cerebral disability - [4]Coma - [5]Brain death | [1]Good cerebral capability |
| icd_discharge_datetime_offset | De-identified time of intensive care unit (ICU) discharge | 2115-11-30 11:15:00 |
| icd_discharge_datetime_is_weekend | Whether the ICU discharge is on the weekend (Saturday/Sunday) | 0 |
| hospital_discharge_survival | Whether patient is alive at hospital discharge | 1 |
| hospital_discharge_gcs | Glasgow Coma Scale (GCS) score at hospital discharge | E4M5V5 |
| hospital_discharge_total_gcs | Total Glasgow Coma Scale (GCS) score at hospital discharge | 14 |
| hospital_discharge_cpc | Patient’s cerebral performance category at hospital discharge. - [1]Good cerebral capability - [2]Moderate cerebral disability - [3]Severe cerebral disability - [4]Coma - [5]Brain death | [1]Good cerebral capability |
| hospital_discharge_datetime_offset | De-identified time of survival to hospital discharge | 2115-12-16 18:00:00 |
| hospital_discharge_datetime_is_weekend | Whether the hospital discharge is on the weekend (Saturday/Sunday) | 0 |
| death_cause | Cause of patient’s death. - sepsis - MOF Multiple organ failure- cardiac event- respiratory event- GI bleeding- renal failure- others- unknown- AAD | NaN |
| death_datetime_offset | De-identified time of patient death | NaN |
| death_datetime_is_weekend | Whether the patient death is on the weekend (Saturday/Sunday) | NaN |
Control group
The control group contains the ECGs of a set of control patients who visited the ED on the same day as the cases, and had an ECG, but did not have a cardiac arrest. If the patient from this control group had an ECG prior to this day, that ECG would have the pre timetag.
Cohort
cohort.csv
| Name | Data type | Description | Sample |
|---|---|---|---|
| patient_ngsci_id | int | Unique patient identifier | 10001362 |
| year | str | Year of ECG | 2015 |
| ecg_id | str | Unique ECG identifier | cffcc4… |
| ecg_timetag | str | Time classification of ECG relative to index ED encounter: pre: indicates an ECG taken prior to the control group event for a given patient control: indicates an ECG taken during ED encounter for a matched control group patient | control |
| sex | str | Sex of patient | male |
ECG
ecg.csv
| Name | Data type | Description | Sample |
|---|---|---|---|
| patient_ngsci_id | int | Unique patient identifier | 10001362 |
| year | str | Year of ECG | 2015 |
| ecg_id | str | Unique ECG identifier | cffcc4… |
| ecg_timetag | str | Time classification of ECG relative to index ED encounter: pre: indicates an ECG taken prior to the control group event for a gien patient control: indicates an ECG taken during ED encounter for a matched control group patient | control |
| acquisition_datetime_offset | datetime | De-identified ECG acquisition datetime | 2126-03-10 23:13:00 |
| acquisition_datetime_is_weekend | int | Whether the true ECG acquisition datetime is on the weekend (Saturday/Sunday) | 0 |
| age | str | Age of patient | 82 |
ECG waveform arrays
The ECGs are stored in NumPy arrays. There is a file for the study group and each year of the control group.
waveform-npy.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| npy_index | Index of ECG in numpy array | 1 |
waveform-median.npy
All ECG waveforms (median)
Shape: ({number of ECGs}, 12, 600)
The order of the leads is: [‘I’, ‘II’, ‘III’, ‘aVR’, ‘aVL’, ‘aVF’, ‘V1’, ‘V2’, ‘V3’, ‘V4’, ‘V5’, ‘V6’]
waveform-rhythm.npy
All ECG waveforms (rhythm)
Shape: ({number of ECGs}, 12, 5000)
The order of the leads is: [‘I’, ‘II’, ‘III’, ‘aVR’, ‘aVL’, ‘aVF’, ‘V1’, ‘V2’, ‘V3’, ‘V4’, ‘V5’, ‘V6’]
ECG metadata
The ECGs were stored as XML files. The following tables contain the addition metadata that was stored in those files.
Amplitude measurements
amplitude-measurements.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| amplitude_measurement_mode | Modes used to measure amplitude in the Interval Editor. Values = {‘Raw’, ‘Median’} | Raw |
| lead_id | Lead ID. | I |
| amplitude_measurement_wave_id | Name of wavelet you are measuring. | IE_R |
| amplitude_measurement_beat_id | Beat ID | 2 |
| amplitude_measurement_peak | Peak of the wavelet (in uV) | 341 |
| amplitude_measurement_start | Start of wavelet in samples | 228 |
| amplitude_measurement_duration | Wavelet duration (in msec) | 48 |
| amplitude_measurement_area | Wavelet area (in uv*msec) | 1642 |
Diagnosis
diagnosis.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| modality | Type of test to which this diagnosis corresponds. | RESTING |
| stmt_flag | Indicates if statement is Deleted, User Defined, or the End of the Line. | USERINSERT |
| stmt_text | All diagnosis statements | Abnormal ECG |
Interval measurements
interval-measurements.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | 1f02bb… |
| year | Year of ECG | 2011-14 |
| lead_id | Lead ID | II |
| interval_measurement_beat_number | The beat index of the beat in the ECG. The first beat is zero; present when IntervalMeasurementMode is set to Raw. | 1 |
| interval_measurement_beat_offset | The offset in number of samples to the beginning ot this beat, present when IntervalMeasurementMode is set to Raw. | 394 |
| interval_measurement_p_onset | The P Onset measurement for this beat and lead | 150 |
| interval_measurement_p_offset | The P Offset measurement for this beat and lead | 191 |
| interval_measurement_q_onset | The Q Onset measurement for this beat and lead | 223 |
| interval_measurement_q_offset | The Q Offset measurement for this beat and lead | 265 |
| interval_measurement_t_offset | The T Offset measurement for this beat and lead | 407 |
| interval_measurement_rr_interval | The RR Interval for this beat and lead | 718 |
Lead data
lead-data.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| lead_byte_count_total | Total uncompressed lead buffer size in bytes | 1200 |
| lead_time_offset | Offset of lead in reference to the waveform (in milliseconds) | 0 |
| lead_sample_count_total | Total number of samples in the lead buffer | 600 |
| lead_amplitude_units_per_bit | A/D scaling factor (for ECG this value is the number of volts per A/D bit) | 4.88 |
| lead_amplitude_units | A/D scaling factor units (for ECG, this is usually microvolts) | MICROVOLTS |
| lead_high_limit | High limit value for a single lead measurement | 2147483647 |
| lead_low_limit | Low limit value for a single lead measurement | 268435456 |
| lead_id | Specific lead identifier | I |
| lead_offset_first_sample | Offset within lead buffer of first value lead | 0 |
| first_sample_baseline | Value indicating amount of baseline shift | 0 |
| lead_sample_size | Size of individual data sample (in bytes) | 2 |
| lead_off | Boolean value indicating the Lead is off | False |
| baseline_sway | Boolean value indicating that baseline sway is present in the data | False |
| lead_data_crc32 | 32 bit CRC of uncoded and uncompressed raw signal data for the current lead | 1044199846 |
Measurement matrix global
measurement-matrix-global.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| 0 | Always 36 (decimal), (the array size in bytes) | 36 |
| p_on | P-wave onset in median beat (in samples) | 0 |
| p_off | P-wave offset in median beat | 0 |
| q_on | Q-Onset in median beat | 228 |
| q_off | Q-Offset in median beat | 291 |
| t_on | T-Onset in median beat | 332 |
| t_off | T-Offset in median beat | 417 |
| n_qrs | Number of QRS Complexes | 15 |
| qrs_dur | QRS Duration | 126 |
| qt | QT Interval | 378 |
| qtc | QT Corrected | 464 |
| pr_interval | PR Interval | 0 |
| v_rate | Ventricular Rate | 91 |
| avg_rr | Average R-R Interval | 658 |
| pad_14 | Pad | -1 |
| pad_15 | Pad | -1 |
| pad_16 | Pad | -1 |
| 17 | (53*12) Decimal Number of Columns*Number of Leads | 636 |
Measurement matrix per lead bitflg
measurement-matrix-per-lead-bitflg.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| lead_id | Specific lead identifier | 0 |
| measurement_id | Id of per-lead measurement. Should all be 52 | 52 |
| sample | Byte string of raw sample value | b’\x00\x00’ |
| ttal | Peak of T > ST measurement. TRUE if value is 2. | 0 |
| stdown | ST Segment Depressed. TRUE if value is 4. | 0 |
| stelev | ST Segment Elevated. TRUE if value is 8. | 0 |
| jelev | J point Elevated by 100uV. TRUE if value is 16. | 0 |
| dltwv | Delta-Wave Detected. TRUE if value is 32. | 0 |
| stinj | ST Segment Elevated. TRUE if value is 64. | 0 |
| ppdeep | P Prime Area was 1000uV*ms. TRUE if value is 128. | 0 |
| 8 | Empty bit | 0 |
Measurement matrix per lead
measurement-matrix-per-lead.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| lead_id | Lead id where the leads are in the order [I, II, V1, V2, V3, V4, V5, V6, III, AVR, AVL, AVF]. NOTE: The leads array in .npy format have a different order and are specified above.- 0 I- 1 II- 2 V1- 3 V2- 4 V3- 5 V4- 6 V5- 7 V6- 8 III- 9 AVR- 10 AVL- 11 AVF | 0 |
| measurement_id | Measurement id where: - 0 PONA - 1 PAMP - 2 PDUR- 3 bmPAR- 4 bmPI - 5 P’AMP- 6 P’DUR- 7 bmPPAR- 8 bmPPI - 9 QAMP- 10 QDUR- 11 bmQAR- 12 bmQI- 13 RAMP- 14 RDUR- 15 bmRAR- 16 bmRI- 17 SAMP- 18 SDUR- 19 bmSAR- 20 bmSI- 21 R’AMP- 22 R’DUR- 23 bmRPAR- 24 bmRPI- 25 S’AMP- 26 S’DUR- 27 bmSPAR- 28 bmSPI- 29 STJ- 30 STM- 31 STE- 32 MXSTA- 33 MNSTA- 34 SPTA- 35 QRSA- 36 QRSDEF- 37 MAXRA- 38 MAXSA- 39 TAMP- 40 TDUR- 41 bmTAR- 42 bmTI- 43 T’AMP- 44 TPDUR- 45 bmTPAR- 46 bmTPI- 47 TEND- 48 PAREA- 49 QRSAR- 50 TAREA- 51 QRSINT- 52 BITFLG | 52 |
| sample | Value corresponding to measurement_id. | b’\x00\x00’ |
| ttal | Peak of T > ST measurement. TRUE if value is 2. | 0 |
| stdown | ST Segment Depressed. TRUE if value is 4. | 0 |
| stelev | ST Segment Elevated. TRUE if value is 8. | 0 |
| jelev | J point Elevated by 100uV. TRUE if value is 16. | 0 |
| dltwv | Delta-Wave Detected. TRUE if value is 32. | 0 |
| stinj | ST Segment Elevated. TRUE if value is 64. | 0 |
| ppdeep | P Prime Area was 1000uV*ms. TRUE if value is 128. | 0 |
| 8 | Empty bit | 0 |
Measurement matrix per lead definitions
measurement-matrix-per-lead-definitions.csv
| Name | Description | Sample |
|---|---|---|
| measurement_id | Measurement ID for measurement-matrix-per-lead | 0 |
| abbreviation | Abbreviation of measurement | PONA |
| definition | Definition of measurement | P Wave amplitude at P-onset |
Muse info
muse-info.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| muse_version | The version of MUSE system producing the XML | 7.1.0 |
Original diagnosis
original-diagnosis.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| modality | Type of test to which this diagnosis corresponds | RESTING |
| stmt_flag | Indicates if statement is Deleted, User Defined, or the End of the Line. | USERINSERT |
| stmt_text | Diagnosis statement text | Abnormal ECG |
Original resting ECG measurements
original-resting-ecg-measurements.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| ventricular_rate | Ventricular rate in BPM | 91 |
| atrial_rate | Atrial rate (in BPM) | 312 |
| pr_interval | P-R interval (in msec) | NaN |
| qrs_duration | QRS duration (in msec) | 126 |
| qt_interval | QT interval (in msec) | 378 |
| qt_corrected | Bazett’s Algorithm | 464 |
| p_axis | P axis | NaN |
| r_axis | R axis | 61 |
| t_axis | T axis | -57 |
| qrs_count | QRS count | 15 |
| q_onset | Q onset (median complex sample point) | 228 |
| q_offset | Q offset (median complex sample point) | 291 |
| p_onset | P onset (median complex sample point) | NaN |
| p_offset | P offset (median complex sample point) | NaN |
| t_offset | T offset (median complex sample point) | 417 |
| ecg_sample_base | ECG sample rate base | 500 |
| ecg_sample_exponent | ECG sample rate base exponent | 0 |
| qtc_frederica | QT calculated with the Frederica Algorithm | 464 |
Pharma data
pharma-data.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| pharma_rr_interval | RR interval | 658 |
| pharma_unique_ecg_id | Value assigned by cart to ECG | SCD1037… |
| pharma_pp_interval | PP interval | 192 |
| pharma_cart_id | Value assigned by cart to ECG | SCD1037… |
QRS times types
qrs-times-types.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| global_rr | The global mean R-R measurement | 658 |
| qtrggr | Sample index of the QRS trigger from the start of the median | 248 |
QRS times types QRS
qrs-times-types-qrs.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| number | Number of this QRS | 1 |
| type | The beat type number for this QRS as determined by analysis | 0 |
| time | The sample index (zero based) of the beginning of this QRS complex, from the beginning of the waveform. | 106 |
Resting ECG measurements
resting-ecg-measurements.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| ventricular_rate | Ventricular rate in BPM | 91 |
| atrial_rate | Atrial rate (in BPM) | 312 |
| pr_interval | P-R interval (in msec) | NaN |
| qrs_duration | QRS duration (in msec) | 126 |
| qt_interval | QT interval (in msec) | 378 |
| qt_corrected | Bazett’s Algorithm | 464 |
| p_axis | P axis | NaN |
| r_axis | R axis | 61 |
| t_axis | T axis | -57 |
| qrs_count | QRS count | 15 |
| q_onset | Q onset (median complex sample point) | 228 |
| q_offset | Q offset (median complex sample point) | 291 |
| p_onset | P onset (median complex sample point) | NaN |
| p_offset | P offset (median complex sample point) | NaN |
| t_offset | T offset (median complex sample point) | 417 |
| ecg_sample_base | ECG sample rate base | 500 |
| ecg_sample_exponent | ECG sample rate base exponent | 0 |
| qtc_frederica | QT calculated with the Frederica Algorithm | 434 |
Waveform
waveform.csv
| Name | Description | Sample |
|---|---|---|
| ecg_id | Unique ECG identifier | c8f47f… |
| year | Year of ECG | 2011-14 |
| waveform_type | Waveform type of ‘Median’ or ‘Rhythm’ | Median |
| waveform_start_time | Offset in buffer to beginning of waveform | 0 |
| number_of_leads | Total number channels in the waveform excluding derive leads. For 12 lead, use 8. | 8 |
| sample_type | All are continuous samples | CONTINUOUS_SAMPLES |
| sample_base | Sample Rate Base | 500 |
| sample_exponent | Exponent value used in conjunction with the Sample Base value | 0 |
| highpass_filter | High pass filter applied to data before it was received by MUSE (in hundredths of Hertz) | 32 |
| lowpass_filter | Low pass filter applied to data before it was received by MUSE (in hundredths of Hertz) | 150 |
| ac_filter | AC filter applied to data before it was received by MUSE (in Hertz) | 60 |