On Employing Nonparametric Bootstrap Technique in Oscillometric Blood Pressure Measurement for Confidence Interval Estimation
نویسندگان
چکیده
منابع مشابه
Two-Step Pseudomaximum Amplitude-Based Confidence Interval Estimation for Oscillometric Blood Pressure Measurements
Blood pressure (BP) is an important vital sign to determine the health of an individual. Although the estimation of average arterial blood pressure using oscillometric methods is possible, there are no established methods for obtaining confidence intervals (CIs) for systolic blood pressure (SBP) and diastolic blood pressure (DBP). In this paper, we propose a two-step pseudomaximum amplitude (TS...
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BACKGROUND Noninvasive blood pressure (BP) measurement is essential for the study of human physiology but automatic oscillometric devices only estimate SBP and DBP using various, undisclosed algorithms, precluding standardization and interchangeability. We propose a novel approach by tracking, during pneumatic cuff deflation, the time interval from the foot to the apex of the systolic peak of t...
متن کاملRapid oscillometric blood pressure measurement compared to conventional oscillometric measurement.
BACKGROUND There have been few reports studying the necessary interval between blood pressure measurements, after the initial rest period. METHODS Blood pressure was measured in 50 patients using the conventional oscillometric technique (COT) and the rapid oscillometric technique (ROT). RESULTS The difference between COT and ROT was -1.1 / -0.1 mmHg, which was not significantly different (p...
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INTRODUCTION Blood pressure (BP) measurement is essential for epidemiological studies and clinical decisions. It seems that tissue characteristics can affect BP results and we try to find edema effect on BP results taken by different methods. METHODS BP of 55 children before open heart surgery were measured and compared according to three methods: Arterial as standard and reference, oscillome...
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Confidence intervals for densities built on the basis of standard nonparametric theory are doomed to have poor coverage rates due to bias. Studies on coverage improvement exist, but reasonably behaved interval estimators are needed. We explore the use of small bias kernel-based methods to construct confidence intervals, in particular using a geometric density estimator that seems better suited ...
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ژورنال
عنوان ژورنال: Journal of Korea Multimedia Society
سال: 2014
ISSN: 1229-7771
DOI: 10.9717/kmms.2014.17.2.200