Implementation and Validation of a Novel Noninvasive blood Pressure Measurement Algorithm Based on Oscillometric Method with Obtaining International Hypertension Standards.

IF 1.1 Q4 ENGINEERING, BIOMEDICAL
Journal of Medical Signals & Sensors Pub Date : 2022-05-12 eCollection Date: 2022-04-01 DOI:10.4103/jmss.jmss_123_21
Sahar Karimian, Mohammadreza Yazdchi, Reza Hajian
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引用次数: 0

Abstract

Background: One of the most prevalent methods in noninvasive blood pressure (BP) measurement with cuff is oscillometric, which has two different types of deflation, including linear and step deflation. With this approach, in addition to designing a novel algorithm by the step deflation method, a sample of its module was constructed and validated during clinical tests in different hospitals.

Method: In this study, by controlling the valve, the pressure would be deflated through optimized steps. By real-time processing on the obtained signal from the pressure sensor, pulses in each step would be extracted. After that, in offline mode, mean arterial pressure is estimated based on curve fitting.

Result: A BP simulator, various modules, and an auditory method were used to validate the algorithm and its results. During clinical tests, 80 people (men and women), 11 dialysis patients, and 69 non-dialysis (healthy or with other diseases) in the age range of 17-85 years participated.

Conclusion: The obtained results compared with the BP simulator are in the standard range according to the international medical standards of the British Hypertension Society (BHS) and the US Association for the Advancement of Medical Instrumentation (AAMI), which are the global standard of comparison in this field.

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基于振荡法的新型无创血压测量算法的实现与验证,并获得国际高血压标准。
背景:无创袖带血压测量中最流行的方法之一是振荡法,它有两种不同的放气方式,包括线性放气和阶跃放气。利用该方法,在采用步进收缩法设计新算法的基础上,构建了其模块样本,并在不同医院的临床试验中进行了验证。方法:本研究通过控制气阀,通过优化步骤实现减压。通过对从压力传感器获取的信号进行实时处理,提取每一步的脉冲。然后,在离线模式下,根据曲线拟合估计平均动脉压。结果:采用BP模拟器、各模块和听觉法对算法和结果进行验证。在临床试验中,年龄在17-85岁之间的80人(男性和女性)、11名透析患者和69名非透析患者(健康或患有其他疾病)参加了试验。结论:根据英国高血压学会(BHS)和美国医疗器械进步协会(AAMI)的国际医学标准,与BP模拟器比较所得结果均在标准范围内,是该领域的国际比较标准。
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来源期刊
Journal of Medical Signals & Sensors
Journal of Medical Signals & Sensors ENGINEERING, BIOMEDICAL-
CiteScore
2.30
自引率
0.00%
发文量
53
审稿时长
33 weeks
期刊介绍: JMSS is an interdisciplinary journal that incorporates all aspects of the biomedical engineering including bioelectrics, bioinformatics, medical physics, health technology assessment, etc. Subject areas covered by the journal include: - Bioelectric: Bioinstruments Biosensors Modeling Biomedical signal processing Medical image analysis and processing Medical imaging devices Control of biological systems Neuromuscular systems Cognitive sciences Telemedicine Robotic Medical ultrasonography Bioelectromagnetics Electrophysiology Cell tracking - Bioinformatics and medical informatics: Analysis of biological data Data mining Stochastic modeling Computational genomics Artificial intelligence & fuzzy Applications Medical softwares Bioalgorithms Electronic health - Biophysics and medical physics: Computed tomography Radiation therapy Laser therapy - Education in biomedical engineering - Health technology assessment - Standard in biomedical engineering.
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