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

6 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.

Access to Document

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

Allen2024VoRFinal published version, 574 KBLicence: CC BY

Cite this

@article{6f17a13779614d3c81f55a0246743903,

title = "Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment",

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.",

author = "Mohamed Elgendi and Fridolin Haugg and Fletcher, {Richard Ribon} and John Allen and Hangsik Shin and Aymen Alian and Carlo Menon",

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{\textquoteright}s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article{\textquoteright}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.",

year = "2024",

month = jul,

day = "12",

doi = "10.1038/s43856-024-00555-2",

language = "English",

volume = "4",

journal = "Communications Medicine",

issn = "2730-664X",

publisher = "Springer Nature",

}

TY - JOUR

T1 - Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment

AU - Elgendi, Mohamed

AU - Haugg, Fridolin

AU - Fletcher, Richard Ribon

AU - Allen, John

AU - Shin, Hangsik

AU - Alian, Aymen

AU - Menon, Carlo

N1 - 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.

PY - 2024/7/12

Y1 - 2024/7/12

N2 - 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.

AB - 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.

U2 - 10.1038/s43856-024-00555-2

DO - 10.1038/s43856-024-00555-2

M3 - Article

SN - 2730-664X

VL - 4

JO - Communications Medicine

JF - Communications Medicine

M1 - 140

ER -

Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment

Abstract

Bibliographical note

Access to Document

Fingerprint

Cite this