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 language | English |
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Title of host publication | 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements |
Pages | 345-350 |
Number of pages | 6 |
Publication status | Published - 2010 |
Event | 17th 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 2010 → Sep 10 2010 |
Other
Other | 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements |
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Country | Slovakia |
City | Kosice |
Period | 9/8/10 → 9/10/10 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Modelling and Simulation