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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 9    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 9, September 2011
Automated Learning in Medical Sensor System
Full Text(PDF, 3000)  PP.  
Author(s)
Ayoni Mukherjee, Sanjit Setua
KEYWORDS
Certainty factor ( CF ) , Electrocardiogram ( ECG ) , knowledge base , leads , learning , rules , self directed learning ( SDL ) , sampling interval ( SI ) ,sensors.
ABSTRACT
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.
References
[1] Zhong Hua , Kanade Takeo , Schwartzman David : “Sensor Guided Ablation Procedure of Left Atrial Endocardium “ , MICCAI 2005, LNCS 3750, pp. 1–8, 2005,Springer-Verlag Berlin Heidelberg 2005.

[2] Yick Jennifer, Mukherjee Biswanath, Ghosal Dipak:“Wireless sensor network survey “,Computer Networks 52 (2008) 2292–2330(science direct) ,2008.

[3] Chipara Octav , Lu Chenyang , Bailey C Thomas , Roman Catalin Gruia : “Reliable Patient Monitoring: A Clinical Study in a Step-down Hospital Unit” Washington university , 2009-82.

[4] Dunn Lee : “ Theories of Learning “ , first published on 2000 on OCSLD website , http://www.brookes.ac.uk/services/ocsld/resources/briefi ng_papers/learning_theories.pdf.

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