Articolo in rivista, 2014, ENG, 10.1504/IJDMB.2014.064891
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
mHealth, context-aware computing, mobile health monitoring system, rule-based DSS, multi-sensors system
Sannino Giovanna, De Pietro Giuseppe
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
CNR authors
CNR institutes
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:309110
DOI: 10.1504/IJDMB.2014.064891
ISI Web of Science (WOS): 000345234300004