SWARM INTELLIGENCE-BASED ASSESSMENT IN HOME CARE PULMONARY MONITORING
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.
Event details
- Event
- Instrumentation for the Information and Communication Technology Era
- Technical Committee
- TC4
- Place
- Kosice, SLOVAKIA
- Time
- 8 September 2010 - 10 September 2010
- Website
- http://www.imeko.tuke.sk