A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems

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@Article{Sannino:2019:ieeeII,

• author = "Giovanna Sannino and Ivanoe {De Falco} and Giuseppe {De Pietro}",
• journal = "IEEE Transactions on Industrial Informatics",
• title = "A Continuous Noninvasive Arterial Pressure (CNAP) Approach for Health 4.0 Systems",
• year = "2019",
• volume = "15",
• number = "1",
• pages = "498--506",
• abstract = "Health 4.0 can provide effective ways to improve the health status of subjects by taking advantage of cyber-physical systems and Internet of things technologies for the solution of healthcare problems. One of these is represented by suitably estimating blood pressure values of subjects in a continuous, real-time, and noninvasive way. To address it, we propose an approach only requiring a photoplethysmography (PPG) sensor and a mobile/desktop device. The approach avails itself of genetic programming to automatically find an explicit relationship between blood pressure values and PPG ones. This relationship is tested on a set of 11 subjects and compared against other regression methods, and turns out to be better. Namely, the root-mean-square error values are equal to 8.49 and 6.66 for the systolic and the diastolic blood-pressure values, respectively. Those for the relative error, instead, are equal to 5.55percent for the systolic and 6.59percent for the diastolic values.",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/TII.2018.2832081",
• ISSN = "1551-3203",
• month = jan,
• notes = "Also known as \cite{8353132}",

}

Genetic Programming entries for Giovanna Sannino Ivanoe De Falco Giuseppe De Pietro

Citations