E-nose: Application Areas to Avoid Dangerous Diseases by Artificial Intelligence
Introduction
David Morgan, a surgeon at the hospital, says the idea of sniffing out super bugs came to him one day in the operating theatre. ‘I was operating on neck abscesses on two different patients and noticed their infections had slightly different smells, so I wondered if a machine could work out what the bacterial infections were from the smell alone.’ So it was possible to make electronic nose to recognize many diseases for cure. ?
Application Areas
1. Break-through on TB by E-nose
?The lives of more than one million people could be saved, thanks to the pioneering work of researcher that recognize the electronic nose that ?has found a way of diagnosing TB by smelling breath. And he estimates the electronic nose will save 60 per cent of the two million people in the world who die from the disease every year. … The machine, which costs between 5,000 and 10,000 and which is being tested in Latvia and India, uses artificial intelligence to identify the TB smell. Readout gives a probability of whether a patient has the disease.
2.? A Electronic nose sniffs out TB.The scientists at Cranfield took ideas used by makers of food flavorings, among others, to create sensors that can recognize smells. The sensors use artificial intelligence to identify bacteria in TB cases, as well as other respiratory diseases. The technique analyses sputum – saliva and mucus – converted into gas form.
3. Electronic noses and tongues in food analysis. The applications of electronic noses and tongues in food analysis. A brief history of the development of sensors is included and this is illustrated by descriptions of the different types of sensors utilized in these devices. As pattern recognition techniques are widely used to analyse the data obtained from these multi-sensor arrays, a discussion of principal components analysis and artificial neural networks is essential.
4. Wine-tasting robot to spot fraudulent bottles.A robotic wine taster, capable of distinguishing between 30 different varieties or blends of grape, has been developed by engineers in Japan. The idea is to automate wine analysis so that retailers and customs officials can easily check that a wine is indeed what its label declares.
UGC/NET/JRF,M.C.A,M.SC,PGDCA,M.PHILL,international papers published,book published,Ph.D pursing
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