Swarm intelligence-based assessment in home care pulmonary monitoring

Pasquale Arpaia, Giovanni D'Addio, Carlo Manna, Giuseppe Montenero

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A swarm intelligence-based procedure to detect a critical condition of a patient, affected by a specific disease, at an early stage in absence of clinician, is proposed. The procedure is conceived for a remote health monitoring system for patients at home, where some physiological parameters related to a specific disease are being monitored. A significant variation in the parameters can lead the patient to a critical state, thus the proposed method is aimed at predicting a possible future bad condition of the patient on the basis of past measures. Moreover, different physiological parameters contribute to diverse degrees in dissimilar diseases, thus a swarm intelligence-based method is proposed for optimizing the weight of each parameters for a more accurate diagnosis. The proposed approach has been tested experimentally under the framework of the industrial research project PADIAMOND (Patient Diagnosis and Monitoring at Domicile) funded by EU.

Original languageEnglish
Title of host publication17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements
Pages345-350
Number of pages6
Publication statusPublished - 2010
Event17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements - Kosice, Slovakia
Duration: Sep 8 2010Sep 10 2010

Other

Other17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements
CountrySlovakia
CityKosice
Period9/8/109/10/10

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Modelling and Simulation

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