International Journal of Advances in Science, Engineering and Technology(IJASEAT)
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Volume-7,Issue-2, Spl. Iss-2  ( Jun, 2019 )
Statistics report
Aug
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper

Paper Title
Essential Tremor Detection using Naive Bayes classifier

Abstract
Millions of people living their lives with shaky hands and are unable to perform their daily chores; it’s the tremor (muscular disorder) that is paralyzing their lives. Tremor is a rhythmic unintentional muscular movement that causes to and fro motion of the particular part of a body which includes hand, arm, face, voice, trunk, head, legs, etc. Hand tremor is most common and is usually because of the side effect of certain drugs. It usually gets worst with the passage of time. It mostly affects older adults, but young people are also the victim of it, so its identification is essential so that the patient can get the required treatment. This paper includes the identification of tremor using a Naive Bayes classifier. The classifier will not only detect the tremor but will also identify its key features which include amplitude and its frequency which will help the doctor to provide the required treatment to the patient. The results showed that classifier is pretty convincing with the success rate of 60% to 70%, but we can achieve higher success rate merely by increasing the number of samples and features.


Author - Ameer Tamoor Khan, Irsa Rasheed, Meryem Naseer, Yousuf Wasi, Abdul Rehman Khan

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| Published on 2018-05-14
   
   
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