Photoplethysmography (PPG)-based algorithms for blood pressure assessment
Standardizing the evaluation of PPG-based algorithms is recommended to improve the accuracy and reliability of non-invasive blood pressure monitoring.
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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Mohamed Elgendi
Preventive Cardiology
Fridolin Haugg
Brigham and Women's Hospital
R. Fletcher
Boston University
Communications Medicine
SHILAP Revista de lepidopterología
Massachusetts Institute of Technology
Yale University
ETH Zurich
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Elgendi et al. (Fri,) studied this question.
synapsesocial.com/papers/69df1aead85e58e37b7a13db — DOI: https://doi.org/10.1038/s43856-024-00555-2