title: Automated integration of wireless biosignal collection devices for patient-centred decision-making in point-of-care systems.
abstract: The proper acquisition of biosignals data from various biosensor devices and their remote accessibility are still issues that prevent the wide adoption of point-of-care systems in the routine of monitoring chronic patients. This Letter presents an advanced framework for enabling patient monitoring that utilises a cloud computing infrastructure for data management and analysis. The framework introduces also a local mechanism for uniform biosignals collection from wearables and biosignal sensors, and decision support modules, in order to enable prompt and essential decisions. A prototype smartphone application and the related cloud modules have been implemented for demonstrating the value of the proposed framework. Initial results regarding the performance of the system and the effectiveness in data management and decision-making have been quite encouraging.
authors.affiliation: R&D Dept., BioAssist S.A., Athens 11524, Greece; Dept of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
authors.forename: Andreas
authors.initials: A
authors.lastname: Menychtas
authors.affiliation: Dept of Electrical and Computer Engineering , National Technical University of Athens , Athens , Greece.
authors.forename: Panayiotis
authors.initials: P
authors.lastname: Tsanakas
authors.affiliation: Department of Digital Systems , University of Piraeus , Piraeus 18532 , Greece.
authors.forename: Ilias
authors.initials: I
authors.lastname: Maglogiannis
keywords: cloud computing; cloud computing infrastructure; data analysis; data management; decision making; decision support modules; decision support systems; medical signal detection; patient monitoring; patient-centred decision-making; point-of-care systems; prototype smartphone application; smart phones; wireless biosignal collection devices