دورية أكاديمية

Multiparametric cloth-based wearable, SimpleSense, estimates blood pressure

التفاصيل البيبلوغرافية
العنوان: Multiparametric cloth-based wearable, SimpleSense, estimates blood pressure
المؤلفون: Prashanth Shyam Kumar, Pratyush Rai, Mouli Ramasamy, Venkatesh K. Varadan, Vijay K. Varadan
المصدر: Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
بيانات النشر: Nature Portfolio, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: Abstract 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2045-2322
العلاقة: https://doaj.org/toc/2045-2322Test
DOI: 10.1038/s41598-022-17223-x
الوصول الحر: https://doaj.org/article/0e33fa58d7f3408ab952b8e583db828eTest
رقم الانضمام: edsdoj.0e33fa58d7f3408ab952b8e583db828e
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20452322
DOI:10.1038/s41598-022-17223-x