Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

Weiwei Jin; Philip Chowienczyk; Jordi Alastruey

doi:10.1371/journal.pone.0245026

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Open Access

Peer-reviewed

Research Article

Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

Weiwei Jin ,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft

* E-mail: weiwei.jin@kcl.ac.uk, weiweijin722@gmail.com

Affiliation Department of Biomedical Engineering, King’s College London, London, United Kingdom

https://orcid.org/0000-0002-0919-2470

⨯
Philip Chowienczyk,

Roles Conceptualization, Funding acquisition, Resources, Supervision

Affiliation Department of Clinical Pharmacology, St. Thomas’ Hospital, King’s College London, London, United Kingdom
⨯
Jordi Alastruey

Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing

Affiliations Department of Biomedical Engineering, King’s College London, London, United Kingdom, World-Class Research Centre, Digital Biodesign and Personalized Healthcare, Sechenov University, Moscow, Russia

https://orcid.org/0000-0003-3742-5259

⨯

Estimating pulse wave velocity from the radial pressure wave using machine learning algorithms

Weiwei Jin,
Philip Chowienczyk,
Jordi Alastruey

Published: June 28, 2021
https://doi.org/10.1371/journal.pone.0245026

About the Authors

Weiwei Jin

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Validation, Visualization, Writing – original draft

* E-mail: weiwei.jin@kcl.ac.uk, weiweijin722@gmail.com

Affiliation Department of Biomedical Engineering, King’s College London, London, United Kingdom

https://orcid.org/0000-0002-0919-2470

Philip Chowienczyk

Roles Conceptualization, Funding acquisition, Resources, Supervision

Affiliation Department of Clinical Pharmacology, St. Thomas’ Hospital, King’s College London, London, United Kingdom

Jordi Alastruey

Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – review & editing

Affiliations Department of Biomedical Engineering, King’s College London, London, United Kingdom, World-Class Research Centre, Digital Biodesign and Personalized Healthcare, Sechenov University, Moscow, Russia

https://orcid.org/0000-0003-3742-5259

Competing Interests

The authors have declared that no competing interests exist.

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Machine learning
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Sound pressure
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Machine learning algorithms
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Blood pressure
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White noise
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Cardiovascular diseases
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Principal component analysis
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Recurrent neural networks
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