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Dataset Information

Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms.


ABSTRACT:

Background

Measuring vital signs plays a key role in both patient care and wellness, but can be challenging outside of medical settings due to the lack of specialized equipment.

Methods

In this study, we prospectively evaluated smartphone camera-based techniques for measuring heart rate (HR) and respiratory rate (RR) for consumer wellness use. HR was measured by placing the finger over the rear-facing camera, while RR was measured via a video of the participants sitting still in front of the front-facing camera.

Results

In the HR study of 95 participants (with a protocol that included both measurements at rest and post exercise), the mean absolute percent error (MAPE) ± standard deviation of the measurement was 1.6% ± 4.3%, which was significantly lower than the pre-s

SUBMITTER: Bae S 

PROVIDER: S-EPMC9053269 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature