NDLI: Model-based oscillometric blood pressure measurement: Preliminary validation in humans

Content Provider	IEEE Xplore Digital Library
Author	Jiankun Liu Hao-min Cheng Chen-Huan Chen Shih-Hsien Sung Jin-Oh Hahn Mukkamala, R.
Copyright Year	2014
Description	Author affiliation: Taipei Veterans Gen. Hosp., Taipei, Taiwan (Hao-min Cheng; Shih-Hsien Sung) \|\| Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA (Mukkamala, R.) \|\| Michigan State Univ., East Lansing, MI, USA (Jiankun Liu) \|\| Univ. of Maryland, College Park, MD, USA (Jin-Oh Hahn) \|\| Nat. Yang-Ming Univ., Taipei, Taiwan (Chen-Huan Chen)
Abstract	We conceived new oscillometric blood pressure (BP) estimation methods based on physical modeling. The crux of these methods is to simultaneously estimate the arterial stiffness and BP of the patient from a standard oscillometric waveform. Hence, in contrast to previous methods, the BP estimation is specific to the patient at the time of measurement and is robust against arterial stiffening. We conducted initial testing of one of the methods against invasive reference brachial BP measurements in eight cardiac catheterization patients before and after nitroglycerin infusions. The method achieved systolic, diastolic and mean BP root-mean-squared-errors of 7.2, 7.6 and 6.7 mmHg. These errors were, on average, 40% lower than an existing high-end method.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1961
Ending Page	1964
File Size	1029065
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6943997
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Estimation Pressure measurement Oscillators Equations Biomedical monitoring Blood pressure
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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