MobiFuzzy: a fuzzy library to build mobile DSSs for remote patient monitoring

  • Authors:
  • Flavio Frattini;Massimo Esposito;Giuseppe De Pietro

  • Affiliations:
  • Università degli Studi di Napoli Federico II, Naples, Italy;Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy, Naples, Italy;Institute for High Performance Computing and Networking (ICAR), National Research Council of Italy, Naples, Italy

  • Venue:
  • AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
  • Year:
  • 2012

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Abstract

Recently, a new mobile generation of decision support systems (DSSs) is appearing to seamlessly and ubiquitously support the monitoring of patients' health status during the activities of daily living. This work proposes MobiFuzzy, a Java Micro Edition fuzzy library characterized by a light-weight and update-versatile implementation for resource-limited mobile devices. The library eases the design process of fuzzy DSSs for Remote Patient Monitoring by providing the user with a wide range of fuzzy connectives, membership functions, implication, aggregation and defuzzification methods. MobiFuzzy has been evaluated on different smart-phones in terms of time-processing with respect to a home-monitoring scenario, proving its capability to proficiently build fuzzy mobile DSSs for healthcare applications where real-time performance demands have to be met.