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NON-INVASIVE METHOD AND SYSTEM FOR ESTIMATING BLOOD PRESSURE FROM PHOTOPLETHYSMOGRAM USING STATISTICAL POST-PROCESSING

机译:基于统计后处理的无创方法和系统,用于从光体积模型中估计血压

摘要

NON-INVASIVE METHOD AND SYSTEM FOR ESTIMATING BLOOD PRESSURE FROM PHOTOPLETHYSMOGRAM USING STATISTICAL POST-PROCESSING A system and method for estimating blood pressure (BP) using photoplethysmogram (PPG) has been explained. The PPG is captured from a PPG sensor (102). For preparing training model, a pulse oximeter is used for capturing PPG. For testing, a smartphone camera is used for capturing the 10 PPG signal. A plurality of features are extracted from the preprocessed PPG signal. A BP distribution is then generated using the plurality of features and the training model. The BP distribution is part of a set of BP distributions generated from different subjects. Finally, a post­ processing methodology have been used to reject inconsistent data out of the set of BP distributions and BP value is estimated only for the remaining BP distributions and a statistical average is 15 provided as the blood pressure estimate. * To be published with Fig. 1 21
机译:使用统计后处理从光电血管造影估计血压的非侵入性方法和系统已经说明了使用光电体积描记器(PPG)估算血压(BP)的系统和方法。从PPG传感器(102)捕获PPG。为了准备训练模型,脉搏血氧仪用于捕获PPG。为了进行测试,使用智能手机相机捕获10 PPG信号。从预处理的PPG信号中提取多个特征。然后,使用多个特征和训练模型来生成BP分布。 BP分布是从不同主体生成的一组BP分布的一部分。最终,已使用后处理方法从一组BP分布中剔除不一致的数据,并且仅针对剩余的BP分布估算BP值,并提供15个统计平均值作为血压估算值。 *与图1 21一起发布

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