Articolo in rivista, 2014, ENG, 10.1504/IJDMB.2014.064891

A mobile system for real-time context-aware monitoring of patients' health and fainting

Sannino, Giovanna; De Pietro, Giuseppe

ICAR - CNR

Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multi-sensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous heart rate variability by taking into account patient context information. In addition the proposed system is able to detect also patient falls in real time. We have designed and implemented an intelligent, user-friendly, and context-aware system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness. Finally, the paper also describes a case study where the system has revealed important benefits for both patients and medical staff.

International journal of data mining and bioinformatics (Print) 10 (4), pp. 407–423

Keywords

mHealth, context-aware computing, mobile health monitoring system, rule-based DSS, multi-sensors system

CNR authors

Sannino Giovanna, De Pietro Giuseppe

CNR institutes

ICAR – Istituto di calcolo e reti ad alte prestazioni

ID: 309110

Year: 2014

Type: Articolo in rivista

Creation: 2015-02-16 12:33:32.000

Last update: 2015-12-12 12:59:21.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1504/IJDMB.2014.064891

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:309110

DOI: 10.1504/IJDMB.2014.064891

ISI Web of Science (WOS): 000345234300004