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Design challenges for home telemonitoring of pregnancy as a medical cyber-physical system

Horoba K., Jeżewski J., Wróbel J., Pawlak A., Czabański R., Porwik P., Penkala P.

Journal of Medical Informatics & Technologies

2014

Vol. 23

59--66

The paper introduces the problem of designing a telemedical system for pregnancy monitoring at home. It focuses on design challenges concerning embedded computing and networking, requirements modelling, and presents the architecture and solutions when based on new class Medical Cyber-Physical Systems (MCPS). The proposed system consists of a Body Area Network (BAN) of advanced sensors that are interconnected on a body of a pregnant woman, a Personal Area Network (PAN) that is responsible for embedded processing of physical signals, smart alarms, data transmission and communication with the Surveillance Centre located in hospital. It is expected that this dependable telemedical system will provide a high societal value to women with high-risk pregnancy.

Sensitivity analysis of a sample entropy estimator on its parameters in application to electrohysterographical signals

Radomski D.

Biocybernetics and Biomedical Engineering

2010

Vol. 30, no. 2

67-72

An electrohysterographical signal (EHG) represents a bioelectrical activity of a pregnant uterus. The most frequently used method of analysis of EHG is based on entropy indexes, e.g. an approximate entropy or sample entropy index which are dependent on two parameters. Hitherto, these parameters were selected arbitrary apart from their influence on physiological meaning of the EHG signals. The aim of the presented paper was an evaluation of sensitivity of the sample entropy index on its parameters. Moreover, it was computed such value of these parameters which ensured prediction of an upcoming labor on basis on the EHG description by the sample entropy index.