This paper presents a novel active non-intrusive system identification (SYSID) approach to cardiovascular monitoring. The proposed approach uses a dual blood pressure cuff as an actuator as well as a pressure transducer for cardiovascular SYSID. In this paradigm, the dual blood pressure cuff excites the cardiovascular system to create rich trans-mural pressure waves traveling in the cardiovascular system, which are in turn measured via cuff pressure oscillations. Mathematical model was developed to describe the propagation of arterial and cuff excitation pressure waves in the cardiovascular system, which was subsequently used to study the effect of cuff maneuvers on trans-mural pressures and also to develop a methodological framework to reconstruct trans-mural pressure waveforms from cuff pressure oscillation measurements. This paper successfully demonstrated that 1) cardiovascular system can be excited non-intrusively via active cuff maneuvers, and 2) arterial and trans-mural pressure waveforms can be reconstructed accurately by judiciously processing cuff pressure oscillations.
- Dynamic Systems and Control Division
Active Non-Intrusive System Identification for Cardiovascular Monitoring: Part I — Excitation and Measurement Protocol Design
Fazeli, N, Kim, H, & Hahn, J. "Active Non-Intrusive System Identification for Cardiovascular Monitoring: Part I — Excitation and Measurement Protocol Design." Proceedings of the ASME 2012 5th Annual Dynamic Systems and Control Conference joint with the JSME 2012 11th Motion and Vibration Conference. Volume 1: Adaptive Control; Advanced Vehicle Propulsion Systems; Aerospace Systems; Autonomous Systems; Battery Modeling; Biochemical Systems; Control Over Networks; Control Systems Design; Cooperative and Decentralized Control; Dynamic System Modeling; Dynamical Modeling and Diagnostics in Biomedical Systems; Dynamics and Control in Medicine and Biology; Estimation and Fault Detection; Estimation and Fault Detection for Vehicle Applications; Fluid Power Systems; Human Assistive Systems and Wearable Robots; Human-in-the-Loop Systems; Intelligent Transportation Systems; Learning Control. Fort Lauderdale, Florida, USA. October 17–19, 2012. pp. 543-551. ASME. https://doi.org/10.1115/DSCC2012-MOVIC2012-8579
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