eHealth@Home - Infrastructure and services for remote multi-parametering monitoring, analysis and support

Research Article

Mobile monitoring of epileptic patients using a reconfigurable cyberphysical system that handles multi-parametric data acquisition and analysis

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  • @INPROCEEDINGS{10.4108/icst.mobihealth.2014.257503,
        author={Andr\^{e} Bideaux and Panagiota Anastasopoulou and Stefan Hey and Adrian Ca\`{o}adas and Alberto Fernandez},
        title={Mobile monitoring of epileptic patients  using a reconfigurable cyberphysical system that handles multi-parametric data acquisition and analysis},
        proceedings={eHealth@Home - Infrastructure and services for remote multi-parametering monitoring, analysis and support},
        publisher={IEEE},
        proceedings_a={EHEALTH},
        year={2014},
        month={12},
        keywords={epilepsy multi-parametric monitoring eeg ecg gsr home gateway},
        doi={10.4108/icst.mobihealth.2014.257503}
    }
    
  • André Bideaux
    Panagiota Anastasopoulou
    Stefan Hey
    Adrian Cañadas
    Alberto Fernandez
    Year: 2014
    Mobile monitoring of epileptic patients using a reconfigurable cyberphysical system that handles multi-parametric data acquisition and analysis
    EHEALTH
    ICST
    DOI: 10.4108/icst.mobihealth.2014.257503
André Bideaux1,*, Panagiota Anastasopoulou1, Stefan Hey1, Adrian Cañadas2, Alberto Fernandez2
  • 1: Institute for Information Processing Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
  • 2: Sensing and Control S&C, Barcelona, SpainInstitute for Information Processing Technology, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
*Contact email: andre.bideaux@kit.edu

Abstract

Epilepsy is one of the commonest, serious and divesting brain disorders. Although it is still an incurable disorder in most cases its symptoms can be ameliorated by life-long pharmaceutical treatment. Depending on the type of epilepsy and due to its multifactorial causes, different brain and body parameters need to be assessed continuously over a long period. This allows clinicians to have a better understanding of the patient’s state of health and to be able to continuously adjust and change the medical treatment accordingly. Beside this, multi-parametric monitoring could be used for other purposes such as accurate diagnosis, detection of seizures, alerting and prevention and presurgical evaluation. The purpose of this paper is to present the architecture of the whole cyberphysical system, comprising a modular framework that is able to connect all the required sensor types and perform online data analysis for the monitoring of patients with epilepsy.