Key result
An optimized model using finger-derived PPG signals and ECG during physical exercise estimated systolic blood pressure with a mean difference of 0.43 mmHg and an SD of difference of 13.52 mmHg.
Why the study?
Can a model using PPG and ECG accurately estimate systolic blood pressure during physical exercise?
Population
19 subjects doing a 40 min exercise
Comparison
Systolic blood pressure estimation model using… vs Reference systolic blood pressure measured at…
Design
Other
Follow-up
40 minutes
Authors
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May support wearable SBP monitoring during exercise; hypothesis-generating pending larger validation before clinical use.
Observational (n=19)
Can a model using PPG and ECG accurately estimate systolic blood pressure during physical exercise?
Mean Difference: 0.43
A multiple linear regression model using PPG and ECG features can estimate systolic blood pressure during physical exercise with a mean difference of 0.43 mmHg compared to reference measurements.
Sun et al. (2016) conducted an observational in Physical exercise (n=19). Systolic blood pressure estimation model using PPG and ECG vs. Reference SBP (volume-clamp principle) was evaluated on Systolic blood pressure estimation accuracy (mean difference 0.43 mmHg). An optimized model using finger-derived PPG signals and ECG during physical exercise estimated systolic blood pressure with a mean difference of 0.43 mmHg and an SD of difference of 13.52 mmHg.
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