Recommendations for evaluating photoplethysmography-based algorithms for blood pressure assessment


Date

2024-07-12

Publication Type

Review Article

ETH Bibliography

yes

Citations

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Data

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.

Publication status

published

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Book title

Volume

4 (1)

Pages / Article No.

140

Publisher

Nature

Event

Edition / version

Methods

Software

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Organisational unit

09715 - Menon, Carlo / Menon, Carlo check_circle

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