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Statistical and fuzzy models of ambulatory systolic blood pressure for hypertension diagnosis

机译:高血压诊断动态收缩压的统计和模糊模型

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摘要

A solution to reduce Ambulatory Systolic Blood Pressure (ASBP) variability during the analysis of a 24-h profile is studied and presented in this article. It consists of equipping the portable ASBP recorder device with other sensors, a three-axes accelerometer and a heart rate recorder, so as to enable an analysis of the tensional profile in the light of these concomitant data. A database has been collected, and two models linking ASBP variations with body acceleration and heart rate measurements are developed: a regression one, based on a priori knowledge of ASBP variations, and a fuzzy one, automatically built from experimental data. Their performances are tested in prediction and compared. Then, the results are compared to those obtained with one of the solutions currently used by the physicians to deal with ASBP variability. The results obtained on 16 young subjects from the database are significantly improved and thus, encouraging.
机译:本文研究并提出了一种解决方案,该解决方案可在分析24 h时降低动态收缩压(ASBP)变异性。它包括为便携式ASBP记录仪设备配备其他传感器,三轴加速度计和心率记录仪,以便根据这些伴随数据对张力分布进行分析。已经收集了一个数据库,并开发了两个将ASBP变化与身体加速度和心率测量值联系起来的模型:基于ASBP变化的先验知识的回归模型和根据实验数据自动构建的模糊模型。他们的表现在预测中进行了测试和比较。然后,将结果与使用医师当前用于解决ASBP变异性的一种解决方案所获得的结果进行比较。从数据库中获得的关于16位年轻受试者的结果得到了显着改善,因此令人鼓舞。

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