
Automated integration of wireless biosignal collection devices for patient‐centred decision‐making in point‐of‐care systems
Author(s) -
Menychtas Andreas,
Tsanakas Panayiotis,
Maglogiannis Ilias
Publication year - 2016
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2015.0054
Subject(s) - biosignal , computer science , wearable computer , point of care , cloud computing , data collection , wireless , embedded system , telecommunications , medicine , operating system , statistics , nursing , mathematics
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.