Modeling Peripheral Artery Behavior Beneath a Non-Invasive Wearable Sensor Subject to Varying Outside Pressure

IF 1 Q4 AUTOMATION & CONTROL SYSTEMS

Mechatronic Systems and Control Pub Date : 2019-11-26 DOI:10.1115/dscc2019-9221

Lu Wang, Sardar Ansari, Yingjie Cai, Kevin Ward, K. Najarian, K. Oldham

引用次数: 0

Abstract

The state of the peripheral arteries is known to be a key physiological indicator of the body’s response to both acute and chronic medical conditions. In this paper, changes in peripheral artery behavior are tracked by combining a photo plethysmograph (PPG) sensor and a piezoelectric (PVDF) sensor with an outside pressure-varying cuff. In a swine subject, a simple mechanical model for the local artery and tissue captures broad features present in the PPG and PVDF signals, with respect to varying cuff pressure. These behaviors may provide insight into robustness of cardiovascular property identification by non-invasive wearable sensing.

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在非侵入式可穿戴传感器下模拟外周动脉受外界压力变化的行为

外周动脉的状态被认为是机体对急性和慢性疾病反应的关键生理指标。在本文中，外周动脉行为的变化是通过结合光电体积描记仪(PPG)传感器和压电(PVDF)传感器与外部压力变化袖带跟踪。在猪的实验对象中，局部动脉和组织的简单力学模型捕获了PPG和PVDF信号中关于袖带压力变化的广泛特征。这些行为可以通过非侵入式可穿戴传感技术深入了解心血管特性识别的鲁棒性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Mechatronic Systems and Control AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.40

自引率

66.70%

发文量

期刊介绍： This international journal publishes both theoretical and application-oriented papers on various aspects of mechatronic systems, modelling, design, conventional and intelligent control, and intelligent systems. Application areas of mechatronics may include robotics, transportation, energy systems, manufacturing, sensors, actuators, and automation. Techniques of artificial intelligence may include soft computing (fuzzy logic, neural networks, genetic algorithms/evolutionary computing, probabilistic methods, etc.). Techniques may cover frequency and time domains, linear and nonlinear systems, and deterministic and stochastic processes. Hybrid techniques of mechatronics that combine conventional and intelligent methods are also included. First published in 1972, this journal originated with an emphasis on conventional control systems and computer-based applications. Subsequently, with rapid advances in the field and in view of the widespread interest and application of soft computing in control systems, this latter aspect was integrated into the journal. Now the area of mechatronics is included as the main focus. A unique feature of the journal is its pioneering role in bridging the gap between conventional systems and intelligent systems, with an equal emphasis on theory and practical applications, including system modelling, design and instrumentation. It appears four times per year.