| Literature DB >> 27222731 |
Andreas Menychtas1, Panayiotis Tsanakas2, Ilias Maglogiannis3.
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.Entities:
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
Year: 2016 PMID: 27222731 PMCID: PMC4814853 DOI: 10.1049/htl.2015.0054
Source DB: PubMed Journal: Healthc Technol Lett ISSN: 2053-3713