Published July 17, 2019
| Version 1.0 Output Data - created using PWDB Algorithms v.0.1.1
Dataset
Open
Pulse Wave Database (PWDB): Baseline subjects aged 25 to 75
Authors/Creators
- 1. King's College London
Description
The Pulse Wave Database
The Pulse Wave Database (PWDB) is a database of simulated arterial pulse waves designed to be representative of a sample of pulse waves measured from healthy adults. It contains pulse waves for 4,374 virtual subjects, aged from 25-75 years old (in 10 year increments). The database contains a baseline set of pulse waves for each of the six age groups, created using cardiovascular properties (such as heart rate and arterial stiffness) which are representative of healthy subjects at each age group. It also contains 728 further virtual subjects at each age group, in which each of the cardiovascular properties are varied within normal ranges. The entire database is available at DOI: 10.5281/zenodo.2633174 .
This dataset: baseline subjects aged 25 to 75
This dataset is a subset of the PWDB. It contains the pulse waves for the six baseline subjects aged 25 to 75 (in 10 year increments). It contains the following waves:
- arterial flow velocity (U),
- luminal area (A),
- pressure (P), and
- photoplethysmogram (PPG).
These pulse waves are provided at a range of measurement sites, including:
- aorta (ascending and descending)
- carotid artery
- brachial artery
- radial artery
- finger
- femoral artery
The data are available in three formats: Matlab, CSV and WaveForm Database (WFDB) format. Further details of the formatting and contents of each file are available at: https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database
Accompanying Publication
This is a subset of the PWDB database, which is described in the following publication:
Please cite this publication when using the database.
Further Information
Further information on the Pulse Wave Database project can be found at: https://peterhcharlton.github.io/pwdb/
Version History
Version 1.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"
Notes
This work was supported by the British Heart Foundation [PG/15/104/31913], the Wellcome EPSRC Centre for Medical Engineering at King's College London [WT 203148/Z/16/Z], and the King's College London & Imperial College London EPSRC Centre for Doctoral Training in Medical Imaging [EP/L015226/1]. The authors acknowledge financial support from the Department of Health through the National Institute for Health Research (NIHR) Cardiovascular MedTech Co-operative at Guy's and St Thomas' NHS Foundation Trust (GSTT). The views expressed are those of the authors and not necessarily those of the BHF, Wellcome Trust, EPSRC, NIHR or GSTT.
Files
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md5:12cc3c7ab3d8c1a3eef476e9aa27af4e
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3.1 MB | Download |
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md5:f7e0ce828c72b2974c3a29487213fcf9
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1.9 MB | Download |
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md5:6c9543e0a31d4bca0bd47b9b850d0ba2
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1.5 MB | Download |
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md5:4f98e1f639ff3dc1206a627c41ae3a6f
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1.2 MB | Download |
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md5:8e2f9e1723870835401389942cd5090d
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1.1 MB | Download |
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md5:54a1b8dd40d1d775dc9e20a0b2798268
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1.2 MB | Download |
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md5:38761937941b4715ba917fa80c536de9
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1.9 MB | Download |
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md5:ede37413b1f74d3f090959e7b34b2703
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1.2 MB | Download |
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md5:904015ca97f555918b932ee8b2f4f0e6
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1.2 MB | Download |
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md5:0ef4ce3c23f09374dacad6c4d7d0df0f
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1.5 MB | Download |
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md5:104dc977081ec2bea663d962d359ba14
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2.3 MB | Download |
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md5:ac3720028524e8590afbd8dfcbc6ccad
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5.4 MB | Download |
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md5:7f90216fb46e3865b143ab06d43134f3
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4.2 MB | Download |
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md5:41b09d54306b34b2528dbcc21256914f
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1.1 MB | Download |
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md5:6d355e52c520ec35af297841fd0bbf05
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1.6 MB | Download |
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md5:784bce4e49a1e528ce9e479c3cfb6a3b
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1.1 MB | Download |
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md5:44b20b03e8f365bdf140f1e4f9bcac7d
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1.5 MB | Download |
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md5:ccbb41aefe3e98df8950fe61649ae5bf
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1.1 MB | Download |
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md5:be62e6efd265e531a5d8ed8777c5509b
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1.1 MB | Download |
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md5:c34c53f91ac6623e771e814146f5c4c6
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1.2 MB | Download |
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md5:7f58f7db9d083753f04c39be3ba9fe5c
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1.1 MB | Download |
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md5:7c382c4d0b1e740f25e7c6cded545a4f
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337.0 kB | Download |
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md5:46a6ceda25b1ae591d7342f86ab1dd5a
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335.1 kB | Download |
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md5:35000243cb908b0645a0e5b7bd43dd3e
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336.4 kB | Download |
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md5:44558511bd7a877757e8023e4ffb2fbb
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337.8 kB | Download |
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md5:ce94c20b43832708685141de62e992d5
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18.1 kB | Download |
Additional details
Related works
- Cites
- 10.5281/zenodo.2633175 (DOI)