NDLI: An Improved Approach for Non-invasive Blood Pressure Measurement System

Content Provider	IEEE Xplore Digital Library
Author	Deng Chen Liang Jianru Ding Daming Wang Chaobin
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Inf. Eng., Shanghai Univ. of Eng. Sci., Shanghai, China (Deng Chen; Liang Jianru; Ding Daming; Wang Chaobin)
Abstract	Arterial Ambulatory blood pressure monitoring have be very important clinical significance for the diagnosis of diseases and treatment options. While the blood pressure measurement and processing method is the key to improve the accuracy of blood pressure measurement. It is proposed here that the method of detecting blood pressure may be the key to improving the precision of blood pressure measurements. This paper proposes a design program of embedded dynamic blood pressure monitor Based on ARM Cortex-M3. An improved algorithm is put forward in this scheme, which uses Gauss distribution curve to fit the envelope of human pulse wave, and uses the maximum likelihood method to estimate the optimal Gauss distribution parameter μ and s, finally uses state feedback technique to control the fast convergence. The experimental results show that this is a kind of dynamic blood pressure monitor applicable to community and family with simple, portable, safe and reliable. Compared with the traditional blood pressure detection method, it has strong anti-interference ability, and repeatability has been significantly improved, which greatly improves the measurement precision. Theory and experiment show that the method is effective. It provides scientific evidence for diagnosing, treating and blood pressure control of patients with hypertension.
Sponsorship	IEEE Nanjing Sect. CIS Chapt.
Starting Page	550
Ending Page	553
File Size	365781
Page Count	4
File Format	PDF
ISBN	9780769550114
e-ISBN	9780769550114
DOI	10.1109/IHMSC.2013.279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pulse measurements Peak envelope Noise Maximum likelihood method formatting Gauss curve fitting Ambulatory blood pressu remeasurement Blood pressure Time measurement Pressure measurement Biomedical monitoring Monitoring Embedded microprocessor
Content Type	Text
Resource Type	Article

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