1. Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment
- Author
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Mohamed Elgendi, Fridolin Haugg, Richard Ribon Fletcher, John Allen, Hangsik Shin, Aymen Alian, and Carlo Menon
- Subjects
Medicine - Abstract
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.
- Published
- 2024
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