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. Elgendi et al. discuss pros and cons of seven measures to assess photoplethysmography-based algorithm performance for blood pressure estimation. They highlight the need for standardized error evaluation to enhance accuracy and reliability in hypertension management and make recommendations to achieve this goal.