GENERALIZED APPROACH TO BUILDING COMPUTER’S TOOLS OF PREVENTIVE MEDICINE FOR HOME USING

L. Fainzilberg
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Abstract

For early detection and timely correction of imbalances in the body that can lead to the development of various diseases, personalized devices are needed with which one can control the current state of the body at home. The purpose of the article is to develop a universal approach to the construction of such tools and, using examples of solving urgent problems, to demonstrate its effectiveness. A distinctive feature of the proposed approach is that the user at home has the ability to form a training sample of observations of his physiological indicators, according to which two integral characteristics are automatically calculated: the reference result, which is closest to all other observations, and the value, characterizing the average deviation of the results. Personalized diagnostic rules are proposed that ensure an increase in the reliability of decisions about the current functional state of the user and an assessment of the risk of a possible development of pathology. The proposed rules form the basis of original preventive medicine for home use, including the intelligent PHASEGRAPH® electrocardiograph for diagnosing myocardial ischemia at early stages, AI-RHYTHMOGRAPH software applications for determining heart rate variability parameters and AI-ARTERIOGRAPH for integral assessment of properties blood vessels, an intelligent blood pressure monitor that measures the long-term variability in blood pressure between doctor visits, and an intelligent stethoscope for detecting respiratory distress at home. Further development of the proposed approach will make it possible to create personalized means of assessing visual acuity and hearing acuity at home, control of the vestibular apparatus, essential tremor and other means.
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构建家庭用计算机预防医学工具的一般方法
为了早期发现和及时纠正可能导致各种疾病发展的身体失衡,需要个性化的设备,人们可以在家里控制身体的当前状态。这篇文章的目的是开发一种构建此类工具的通用方法,并通过解决紧迫问题的例子来证明其有效性。所提出的方法的一个显著特征是,用户在家中能够形成其生理指标观察结果的训练样本,根据该训练样本自动计算两个积分特征:最接近所有其他观察结果的参考结果和表征结果平均偏差的值。提出了个性化诊断规则,以确保提高关于用户当前功能状态的决策的可靠性,并评估可能发展为病理的风险。所提出的规则构成了家用原始预防医学的基础,包括用于诊断早期心肌缺血的智能PHASEGRAPH®心电图仪、用于确定心率变异性参数的AI-RHYTHMOGRAPH软件应用程序和用于血管特性综合评估的AI-ARTERIOGRAPH,一个测量医生就诊之间血压长期变化的智能血压监测器,以及一个在家检测呼吸窘迫的智能听诊器。所提出的方法的进一步发展将有可能创造个性化的方法来评估家中的视力和听力,控制前庭设备,原发性震颤和其他方法。
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Journal of Automation and Information Sciences
Journal of Automation and Information Sciences AUTOMATION & CONTROL SYSTEMS-
自引率
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0
审稿时长
6-12 weeks
期刊介绍: This journal contains translations of papers from the Russian-language bimonthly "Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya i informatiki". Subjects covered include information sciences such as pattern recognition, forecasting, identification and evaluation of complex systems, information security, fault diagnosis and reliability. In addition, the journal also deals with such automation subjects as adaptive, stochastic and optimal control, control and identification under uncertainty, robotics, and applications of user-friendly computers in management of economic, industrial, biological, and medical systems. The Journal of Automation and Information Sciences will appeal to professionals in control systems, communications, computers, engineering in biology and medicine, instrumentation and measurement, and those interested in the social implications of technology.
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