rec100: Electrocardiogram data
In gjmvanboxtel/QRSdetect: Detect QRS Complexes From The Electrocardiogran
rec100 R Documentation
Electrocardiogram data
Description
A data set containing the raw electrocardiogram data from MIT-BIH database
record 100, The data were collected with a sampling rate of 360 Hz and
digitized with 11 bit resolution over a \pm 5 mV range.
Usage
rec100
Format
A dataset with 3 variables and 108000 observations (the first 5 minutes out of the
recording of about 30 minutes):
- time
the time base in seconds (0 - 299.997)
- MLII
ECG from a Modified Leg lead, in millivolts
- V5
ECG from a V5 lead, in millivolts
Source
https://physionet.org/physiobank/database/mitdb/, (doi:10.13026/C2F305).
References
Moody GB, Mark RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Eng in Med and Biol
20(3):45-50 (May-June 2001). (PMID: 11446209)
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K,
Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex
Physiologic Signals. Circulation 101(23):e215-e220, 2000 (June 13).
gjmvanboxtel/QRSdetect documentation built on Sept. 13, 2022, 10:41 p.m.
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| rec100 | R Documentation |
Electrocardiogram data
Description
A data set containing the raw electrocardiogram data from MIT-BIH database record 100, The data were collected with a sampling rate of 360 Hz and digitized with 11 bit resolution over a \pm 5 mV range.
Usage
rec100
Format
A dataset with 3 variables and 108000 observations (the first 5 minutes out of the recording of about 30 minutes):
- time
the time base in seconds (0 - 299.997)
- MLII
ECG from a Modified Leg lead, in millivolts
- V5
ECG from a V5 lead, in millivolts
Source
https://physionet.org/physiobank/database/mitdb/, (doi:10.13026/C2F305).
References
Moody GB, Mark RG. The impact of the MIT-BIH Arrhythmia Database. IEEE Eng in Med and Biol
20(3):45-50 (May-June 2001). (PMID: 11446209)
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus JE, Moody GB, Peng C-K,
Stanley HE. PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex
Physiologic Signals. Circulation 101(23):e215-e220, 2000 (June 13).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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