Dataset Open Access

Simulated Arterial Pulse Waves Database (preliminary version)

Peter H Charlton; Mariscal Harana, Jorge; Vennin, Samuel; Chowienczyk, Phil; Alastruey, Jordi

 

This provides a brief overview of the database. Further details are provided at: https://peterhcharlton.github.io/pwdb/ppwdb.html

Background: The shape of the arterial pulse wave (PW) is a rich source of information on cardiovascular (CV) health, since it is influenced by both the heart and the vasculature. Consequently, many algorithms have been proposed to estimate clinical parameters from PWs. However, it is difficult and costly to acquire comprehensive datasets with which to assess their performance. We are aiming to address this difficulty by creating a database of simulated PWs under a range of CV conditions, representative of a healthy population. The database provided here is an initial version which has already been used to gain some novel insights into haemodynamics.

Methods: Baseline PWs were simulated using 1D computational modelling. CV model parameters were varied across normal healthy ranges to simulate a sample of subjects for each age decade from 25 to 75 years. The model was extended to simulate photoplethysmographic (PPG) PWs at common measurement sites, in addition to the pressure (ABP), flow rate (Q), flow velocity (U) and diameter (D) PWs produced by the model.

Validation: The database was verified by comparing simulated PWs with in vivo PWs. Good agreement was observed, with age-related changes in blood pressure and wave morphology well reproduced.

Conclusion: This database is a valuable resource for development and pre-clinical assessment of PW analysis algorithms. It is particularly useful because it contains several types of PWs at multiple measurement sites, and the exact CV conditions which generated each PW are known.

Future work: However, there are two limitations: (i) the database does not exhibit the wide variation in cardiovascular properties observed across a population sample; and (ii) the methods used to model changes with age have been improved since creating this initial version. Therefore, we are currently creating a more comprehensive database which addresses these limitations.

Accompanying Presentation: This database was originally presented at the BioMedEng18 Conference. The presentation describing the methods for creating the database, and providing an introduction to the database, is available at: https://www.youtube.com/watch?v=X8aPZFs8c08 . The accompanying abstract is available here.

Accompanying Manual: Further information on how to use the PWDB datasets, including this preliminary dataset, are provided in the user manual. Further details on the contents of the dataset files are available here.

Citation: When using this dataset please cite this publication:

Charlton P.H. et al. Modelling arterial pulse wave propagation during healthy ageing, In World Congress of Biomechanics 2018, Dublin, Ireland, 2018.

Version History:

- v.1.0: Originally uploaded to PhysioNet. This is the version which was used in the accompanying presentation.

- v.2.0: The initial upload to this DOI. The database was curated using the PWDB Algorithms v.0.1.1. It differs slightly from the originally reported version in that: (i) the augmentation pressure and index were calculated at the aortic root rather than the carotid artery.

Text adapted from: Charlton P.H. et al., 'A database for the development of pulse wave analysis algorithms', BioMedEng18, London, 2018.

 

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 (894.9 MB)
Name Size
geo.zip
md5:b5222df3b68597fd2eca71c737aa57e9
418.3 kB Download
pwdb_data.mat
md5:bea1a466a6cb71d854fbc2aed7f65fed
37.7 MB Download
pwdb_data_w_aorta_finger_path.mat
md5:4fa2cc32ff3319ad935c49acdd13436b
252.7 MB Download
pwdb_data_w_aorta_foot_path_a.mat
md5:53e93892e317cdabecfcbdc01fbe78ad
180.4 MB Download
pwdb_data_w_aorta_foot_path_p.mat
md5:138e591e2ad1b29bb337f7904b143869
181.2 MB Download
pwdb_data_w_aorta_foot_path_u.mat
md5:d86d815461461b6406608d331f0e5c25
181.9 MB Download
pwdb_haemod_params.csv
md5:ab054b75f566fed05af561c9d7401ad2
54.7 kB Download
pwdb_model_configs.csv
md5:a0965e49b7612099421cd39deaf091a8
34.0 kB Download
pwdb_model_variations.csv
md5:e5c99f0014fa182a74571c8393b03c31
8.3 kB Download
pwdb_onset_times.csv
md5:9b644a054c6b8262edc31352aeb5b3ab
70.3 kB Download
pwdb_pw_indices.csv
md5:023b7e61dc6229f2aa50a4be2ac8230a
1.1 MB Download
PWs_csv.zip
md5:62be165a48ee1e4a6b78d86fa223aedb
12.8 MB Download
PWs_mat.zip
md5:9ff24eae023bf1600ea135a6e19f8628
36.7 MB Download
PWs_wfdb.zip
md5:c71459e0cd57d346eb987b29a5b62228
9.9 MB Download
  • Charlton P.H. et al. Modelling arterial pulse wave propagation during healthy ageing, In World Congress of Biomechanics 2018, Dublin, Ireland, 2018.

  • Charlton P.H. et al. A Database for the Development of Pulse Wave Analysis Algorithms, In BioMedEng18, London, UK, 2018.

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