Key result
Smartphone camera algorithm estimates systolic blood pressure with ~14 mmHg deviation from standard cuffs.
Why the study?
Along with the rapidly developing market of apps and wearables introducing alternative blood pressure measurement methods, critical evaluation of these novel tools is needed.
Does a smartphone camera PPG algorithm reliably estimate systolic blood pressure compared to standard oscillometric measurement in hospital subjects?
Population
1000 subjects at a University Hospital
Comparison
Smartphone camera photoplethysmographic signal algorithm vs standard oscillometric cuff device
Design
Prospective trial with blinded analysis
Authors
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Large error (14 mmHg MAD) indicates smartphone PPG BP estimates are not ready for clinical use; leaves open whether refined algorithms merit prospective validation.
Observational (n=1,000)
Single-blind
No
Does a smartphone camera PPG algorithm reliably estimate systolic blood pressure compared to standard oscillometric measurement in hospital subjects?
Mean Difference: 14
A novel smartphone camera PPG algorithm for estimating systolic blood pressure showed a mean absolute deviation of 14 mmHg compared to standard oscillometric measurement.
Eckstein et al. (2017) conducted an observational in Blood pressure measurement (n=1,000). Smartphone camera photoplethysmographic (PPG) signal algorithm vs. Standard oscillometric cuff device (OCD) was evaluated on Systolic blood pressure estimation accuracy (Mean absolute deviation 14 mmHg). A novel smartphone camera algorithm estimating systolic blood pressure had a mean absolute deviation of 14 mmHg (SD 11 mmHg) compared to standard oscillometric cuff measurements.
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