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Sensor-Based Modeling and Analysis of Cardiac Systems

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Sensing, Modeling and Optimization of Cardiac Systems

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Abstract

Cardiac disorders happen every day and account for some 30% of mortalities in the USA. The sensor-based research for health informatics is targeting the timeliness of cardiovascular diagnostics or prognostics but is highly dependent on the close integration of computing, sensing, modeling methods with physiological processes to achieve medical systems with high levels of functionality, adaptability, autonomy, and effectiveness. This chapter presents the methodology of sensor-based modeling and analysis in guiding the optimal management of heart health. To that end, people’s living styles and habits can be associated with sensor-based health variables (or biomarkers), providing education on heart-healthy living and raising the awareness of smart health.

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Authors and Affiliations

  1. Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA, USA

    Hui Yang

  2. Industrial and Systems Engineering, The University of Tennessee Knoxville, Knoxville, TN, USA

    Bing Yao

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  1. Hui Yang
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Yang, H., Yao, B. (2023). Sensor-Based Modeling and Analysis of Cardiac Systems. In: Sensing, Modeling and Optimization of Cardiac Systems. SpringerBriefs in Service Science. Springer, Cham. https://doi.org/10.1007/978-3-031-35952-1_3

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