Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment

Mohamed Elgendi; Fridolin Haugg; Richard Ribon Fletcher; John Allen; Hangsik  Shin; Aymen Alian; Carlo Menon

doi:10.1038/s43856-024-00555-2

Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment

Mohamed Elgendi, Fridolin Haugg, Richard Ribon Fletcher, John Allen, Hangsik Shin, Aymen Alian, Carlo Menon

Centre for Intelligent Healthcare

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

31 Downloads (Pure)

Abstract

Photoplethysmography (PPG) is a non-invasive optical technique that measures changes in blood volume in the microvascular tissue bed of the body. While it shows potential as a clinical tool for blood pressure (BP) assessment and hypertension management, several sources of error can affect its performance. One such source is the PPG-based algorithm, which can lead to measurement bias and inaccuracy. Here, we review seven widely used measures to assess PPG-based algorithm performance and recommend implementing standardized error evaluation steps in their development. This standardization can reduce bias and improve the reliability and accuracy of PPG-based BP estimation, leading to better health outcomes for patients managing hypertension.

Original language	English
Article number	140
Number of pages	7
Journal	Communications Medicine
Volume	4
DOIs	https://doi.org/10.1038/s43856-024-00555-2
Publication status	Published - 12 Jul 2024

Bibliographical note

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

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Markers of enterocyte damage, microbial translocation, and systemic inflammation following 9 h of heat exposure in young and older adults

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Markers of enterocyte damage, microbial translocation, and systemic inflammation following 9 h of heat exposure in young and older adults

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10.1038/s43856-024-00555-2Licence: CC BY

Allen2024VoRFinal published version, 574 KBLicence: CC BY

Cite this

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abstract = "Photoplethysmography (PPG) is a non-invasive optical technique that measures changes in blood volume in the microvascular tissue bed of the body. While it shows potential as a clinical tool for blood pressure (BP) assessment and hypertension management, several sources of error can affect its performance. One such source is the PPG-based algorithm, which can lead to measurement bias and inaccuracy. Here, we review seven widely used measures to assess PPG-based algorithm performance and recommend implementing standardized error evaluation steps in their development. This standardization can reduce bias and improve the reliability and accuracy of PPG-based BP estimation, leading to better health outcomes for patients managing hypertension.",

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AU - Shin, Hangsik

AU - Alian, Aymen

AU - Menon, Carlo

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Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment

Abstract

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