BIOMEDICAL SENSOR ANALYSIS USING MOBILE TECHNOLOGIES FOR CARDIOVASCULAR DISEASE IDENTIFICATION—A CASE STUDY

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BIOMEDICAL SENSOR ANALYSIS USING MOBILE TECHNOLOGIES FOR CARDIOVASCULAR DISEASE IDENTIFICATION—A CASE STUDY

Abstract.

This research will present developed method of analysing ECG signals fused with available geodata collected from distributed mobile environment. PULSE environment implements developed method to deliver decision support system for telemedicine and health monitoring. Fusing hardware biomedical sensors and mobile devices allow monitoring the health of a given person, and detecting dangerous disorders by recognizing their patterns based on specific domain knowledge. Semantic sensor data analysis is a key aspect of server reasoning facilities. Deployed ontologies and logic reasoning mechanisms deliver disease identification based on the symptoms described by the data instances gathered from mobile sensors. Inference rules and domain knowledge prepared for cardiovascular diseases are in fact stubs for designing automatic rule book for medical expert systems. System utilises knowledge in terms of description logic axioms providing disease domain description directly connected with medical diagnostics.

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