BAD BREATHE DIAGNOSIS SYSTEM USING OMX-GR SENSOR AND NEURAL NETWORK FOR TELEMEDICINE
 
BEKIR KARLIK, YOUSIF AL-BASTAKI
   
Abstract:
Recently the use of smell in clinical diagnosis has been rediscovered due to major advances in odor sensing technology and artificial neural network (ANN). It was well known in the past that a number of infectious or metabolic diseases could liberate specific odors characteristic of the disease stage. "Artificial nose" technology has been employed in several areas of medical diagnosis. In this study, we have developed telemedicine odor-sensing system with the capability of the discrimination among different bad breath odor patterns obtained sugar diabetic persons.
   
Key Words: Telemedicine, bad breathe, diagnosis, sensor, neural network
   
 
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