A General-Purpose mHealth System Relying on Knowledge Acquisition through Artificial Intelligence *

摘要: Remote monitoring of patients’ vital parameters and ensuring mobility both patient doctor can greatly profit from real-time tele-monitoring technology. Here a description is given multi-purpose multi-parametric system. It take advantage the extraction, carried out offline automatically on desktop, knowledge databases containing measurements patient’s parameters. This represented under form set IF…THEN rules that are provided to rule-based mobile Decision Support System embedded in system here presented. Then, wearable sensors collect real time sent device, where they processed by an app. If, as consequence measured parameters, one above activated, alarm generated for well-timed medical intervention. Moreover all monitored stored EDF files possible further analysis. paper presents two practical applications significant healthcare issues, i.e. apnea fall detection. For these use cases, comparison with other well-known classifiers evaluate quality extracted knowledge.