JOURNAL ARTICLE

Noninvasive blood pressure analysis using empirical mode decomposition (EMD) - Based oscillometric method

Fu‐Jung HsiaoChen-Chuan Hung

Year: 2010 Journal:   2010 3rd International Conference on Biomedical Engineering and Informatics Pages: 973-977

Abstract

This study proposes a new method to extract oscillometric pulses for noninvasive blood pressure measurement using empirical mode decomposition, based on the oscillometric method. The mean and standard deviation of the present method in systolic and diastolic pressure are 1.6 and 5.2, and 0.7 and 5.2, respectively, which not only passes the AAMI (Association for the Advancement of Medical Instrumentation) and EN (European Norm) blood pressure measurement criteria, but also performs more accurate measurements than commercial noninvasive blood pressure measurement devices.

Keywords:
Hilbert–Huang transform Medical instrumentation Blood pressure Pressure measurement Standard deviation Biomedical engineering Instrumentation (computer programming) Computer science Materials science Medicine Cardiology Mathematics Internal medicine Engineering Statistics Telecommunications Mechanical engineering

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Citation History

Topics

Non-Invasive Vital Sign Monitoring
Physical Sciences →  Engineering →  Biomedical Engineering
Hemodynamic Monitoring and Therapy
Health Sciences →  Medicine →  Surgery
Scientific Measurement and Uncertainty Evaluation
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
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