Key result
The smartphone-based blood pressure detection application WIB achieved an average Pearson correlation coefficient of 0.42–0.74 and an average RMSE of 4.2–8.8 mmHg across 30 volunteers.
Why the study?
Conventional at-home blood pressure devices completely block blood flow, causing discomfort and disruption during frequent assessments, necessitating a convenient solution for daily life.
Does the smartphone-based application WIB accurately estimate blood pressure in volunteers?
Does the smartphone-based application WIB accurately estimate blood pressure in volunteers?
A novel smartphone-based application using acoustic sensors and a camera can estimate blood pressure non-intrusively with moderate correlation and an average RMSE of 4.2-8.8 mmHg.
Answers are grounded in this paper and cite their sources.
Should not yet change clinical BP monitoring; leaves open validation of smartphone acoustic-camera estimation in larger trials.
Blood pressure (BP) is an essential vital sign related to many severe diseases, such as heart failure, kidney failure. Frequent BP detection can provide doctors more information to treat the disease. However, conventional at-home BP detection devices require completely blocking blood flow, which can lead to discomfort and disruption of normal activity when users want to perform frequent assessments. So a convenient solution should reduce the trouble of detecting BP in the daily life. In this work, we have designed and evaluated a smartphone-based BP detection application named WIB . WIB utilizes the smartphone’s acoustic sensors to obtain the chest motion caused by the heart beating and the smartphone’s camera to capture the pulse at the fingertip. We have recruited 30 volunteers who come from the author’s institution, to carry out comprehensive evaluations of WIB . We perform BP perturbation experiments to obtain different blood pressure data from these volunteers. The experiment results show that the average of Pearson correlation coefficient across all volunteers of the blood pressure estimation is 0.42–0.74 (α =0.6, σ =0.12), the average of RMSE across all volunteers is 4.2–8.8 mmHg (α =5.8, σ =1.8).
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Zhang et al. (2023) studied Blood pressure (n=30). WIB (smartphone-based BP detection application) was evaluated on Blood pressure estimation accuracy (Pearson correlation coefficient and RMSE). The smartphone-based blood pressure detection application WIB achieved an average Pearson correlation coefficient of 0.42–0.74 and an average RMSE of 4.2–8.8 mmHg across 30 volunteers.
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