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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 (such as CON001, for example); note the non-contiguous numbering.
The file indices_CON.csv contains all the indices that were calculated for the purpose of their potential use in the paper; in particular, all the standard hrv (heart rate variability) indices and all the topological indices introduced in the paper are contained in this dataset. These indices are listed and described in the file indices_CON.pdf.
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:
-
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CC BY-NCNon-commercial
Details
- Year of publication:
- 2021
- Verification date:
- 2021-06-24
- Dataset language:
- English
- Fields of science:
-
- mathematics (Natural sciences)
- medical sciences (Medical and Health Sciences )
- DOI:
- DOI ID 10.34808/578y-0t55 open in new tab
- Funding:
- Ethical papers:
- NKEBN/422/2011
- Verified by:
- Gdańsk University of Technology
Keywords
References
- dataset The database of normal RR-intervals of length up to 512 of 46 healthy subjects at rest
- dataset The database of interpolated RR-intervals of length 512 of 46 healthy subjects at rest
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