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• W4280494730 abstract "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.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.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-specified goal of 5%. No significant differences in the MAPE were present across colorimeter-measured skin-tone subgroups: 1.8% ± 4.5% for very light to intermediate, 1.3% ± 3.3% for tan and brown, and 1.8% ± 4.9% for dark. In the RR study of 50 participants, the mean absolute error (MAE) was 0.78 ± 0.61 breaths/min, which was significantly lower than the pre-specified goal of 3 breaths/min. The MAE was low in both healthy participants (0.70 ± 0.67 breaths/min), and participants with chronic respiratory conditions (0.80 ± 0.60 breaths/min).These results validate the accuracy of our smartphone camera-based techniques to measure HR and RR across a range of pre-defined subgroups." @default.
• W4280494730 created "2022-05-22" @default.
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• W4280494730 date "2022-04-12" @default.
• W4280494730 modified "2023-10-15" @default.
• W4280494730 title "Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms" @default.
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• W4280494730 doi "https://doi.org/10.1038/s43856-022-00102-x" @default.
• W4280494730 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35603304" @default.
• W4280494730 hasPublicationYear "2022" @default.
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