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Physiological Association between Limb Ballistocardiogram and Arterial Blood Pressure Waveforms: A Mathematical Model-Based Analysis

机译:下肢心动描记图与动脉血压波形之间的生理联系:基于数学模型的分析

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摘要

By virtue of its direct association with the cardiovascular (CV) functions and compatibility to unobtrusive measurement during daily activities, the limb ballistocardiogram (BCG) is receiving an increasing interest as a viable means for ultra-convenient CV health and disease monitoring. However, limited insights on its physical implications have hampered disciplined interpretation of the BCG and systematic development of the BCG-based approaches for CV health monitoring. In this study, a mathematical model that can predict the limb BCG in responses to the arterial blood pressure (BP) waves in the aorta was developed and experimentally validated. The validated mathematical model suggests that (i) the limb BCG waveform reveals the timings and amplitudes associated with the aortic BP waves; (ii) mechanical filtering exerted by the musculoskeletal properties of the body can obscure the manifestation of the arterial BP waves in the limb BCG; and (iii) the limb BCG exhibits meaningful morphological changes in response to the alterations in the CV risk predictors. The physical insights garnered by the analysis of the mathematical model may open up new opportunities toward next generation of the BCG-based CV healthcare techniques embedded with transparency, interpretability, and robustness against the external variability.
机译:由于肢体心动图(BCG)与心血管(CV)功能直接相关,并且在日常活动中与不显眼的测量兼容,因此作为一种超便捷的CV健康和疾病监测的可行手段,其兴趣日益浓厚。然而,关于其物理意义的有限见解阻碍了对BCG的纪律解释和基于BCG的CV健康监测方法的系统开发。在这项研究中,可以预测主动脉中的动脉血压(BP)波反应的肢体BCG的数学模型已开发并通过实验验证。经验证的数学模型表明:(i)肢体BCG波形揭示了与主动脉BP波相关的时间和振幅; (ii)身体的肌肉骨骼特性所施加的机械过滤可以掩盖肢体BCG中动脉BP波的表现; (iii)肢体卡介苗表现出有意义的形态变化,以响应CV风险预测因子的变化。通过对数学模型的分析而获得的物理见解可以为下一代基于BCG的CV医疗技术带来新的机遇,这些技术具有透明性,可解释性和针对外部可变性的鲁棒性。

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