Description
This dataset contains the data that was a basis for the results discussed in the paper “Persistent homology as a new method of the assessment of heart rate variability” by Grzegorz Graff, Beata Graff, Paweł Pilarczyk, Grzegorz Jabłoński, Dariusz Gąsecki, Krzysztof Narkiewicz, Plos One (2021), DOI: 10.1371/journal.pone.0253851.
The file is in the csv (comma-separated values) format that is easy to import by most types of spreadsheet software. All the patients are identified by the string “CON” (for control) followed by a 3-digit identifier; note the non-contiguous numbering. The file contains values of RRs (in milliseconds) after the removal of all the RRs that were marked as not normal, but before the removal of up to 4 outliers, as described in the paper; these sequences were used for the calculation of all the standard indices (except for the frequency domain ones) and all the topological indices defined in the paper. The first column contains identifiers of the patients.
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count}
where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
open in new tabCC BY-NCNon-commercial
Details
- Year of publication:
- 2021
- Verification date:
- 2021-06-24
- Dataset language:
- English
- Fields of science:
-
- medical sciences (Medical and Health Sciences )
- mathematics (Natural sciences)
- DOI:
- DOI ID 10.34808/4k51-7n26 open in new tab
- Ethical papers:
- NKEBN/422/2011
- Verified by:
- Gdańsk University of Technology
Keywords
References
- dataset The database of interpolated RR-intervals of length 512 of 46 healthy subjects at rest
- dataset The database of indices computed from RR-intervals of length 512 of 46 healthy subjects at rest
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