Why the study?
Targeted blood pressure maintenance requires accurate home monitoring, but using multiparametric vital signs (ECG, heart sounds, thoracic impedance) for home blood pressure estimation had not been reported.
Does the SimpleSense multiparametric wearable accurately estimate blood pressure compared to standard sphygmomanometer and wrist-worn cuffs in adults?
Does the SimpleSense multiparametric wearable accurately estimate blood pressure compared to standard sphygmomanometer and wrist-worn cuffs in adults?
A multiparametric cloth-based wearable device can estimate systolic and diastolic blood pressure without calibration, achieving accuracy comparable to at-home cuff-based monitors.
May support multiparametric home BP estimation; leaves open prospective validation before clinical adoption.
Targeted maintenance of blood pressure for hypertensive patients requires accurate monitoring of blood pressure at home. Use of multiparametric vital signs ECG, heart sounds, and thoracic impedance for blood pressure estimation at home has not been reported previously. In an observational multi-site study, 120 subjects (female (N = 61, 52%)) between 18 and 83 years of age were recruited with the following stratification (Normal (20%), prehypertensive (37%), stage 1(26%), and stage 2 (18%). From these subjects, 1686 measurements of blood pressure from a sphygmomanometer were associated with simultaneously acquired signals from the SimpleSense device. An ensemble of tree-based models was trained with inputs as metrics derived from the multiparametric and patient demographics data. A test Mean Absolute Difference (MAD) of ± 6.38 mm of Hg and ± 5.10 mm of Hg were obtained for systolic and diastolic blood pressures (SBP; DBP), respectively. Comparatively, the MAD for wrist-worn blood pressure cuff OMRON BP6350 (GUDID-10073796266353) was ± 8.92 mm of Hg and ± 6.86 mm of Hg, respectively. Machine learning models trained to use multiparametric data can monitor SBP and DBP without the need for calibration, and with accuracy levels comparable to at-home cuff-based blood pressure monitors.
No takes yet. Share an insight, caveat, or question.
Kumar et al. (2022) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: