Automated Learning in Medical Sensor System

نویسندگان

  • Ayoni Mukherjee
  • Sanjit Setua
چکیده

Automated learning in medical sensor system for health care monitoring application is presented in this paper. We worked mainly on cardiology and have tried to integrate the benefits of medical instruments of the said domain. We have used multi-disciplinary concept of learning from different domains like philosophy, sociology , psychology , education apart from computer science. The system uses the concept of expert system , though it overcomes the limitations of any traditional rule-based expert system. The system is designed considering all constraints of a sensor network. It is a real time application and expected to take decision and upgrade its performance in a reactive way. Index terms Certainty factor ( CF ) , Electrocardiogram ( ECG ) , knowledge base , leads , learning , rules , self directed learning ( SDL ) , sampling interval ( SI ) ,sensors. ————————————  ——————————

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تاریخ انتشار 2011