Diagnosis of Neuro-Degenerative Diseases Using Probabilistic Neural Network

Agarwalla, Varsha and Padhy, Saswat Kumar (2015) Diagnosis of Neuro-Degenerative Diseases Using Probabilistic Neural Network. BTech thesis.



In recent years researchers have been given attention to present a non-invasive approach to deal with the diseases quickly and all the more unequivocally. The major cause of death of patients is due to the wrong diagnosis. Thus a right method is to be identified which would help the physicians to concentrate on the cause of illness and its diagnosis so as to abstain from squandering valuable time- that may be precious for the patient- on diagnosis. In this particular thesis, we have tried to build up a computerized methodology to deal with patients having problems in walking by analysing their gait signal. We chose four groups of patients, namely patients suffering from neuro-degenerative diseases such as Huntington’s disease, Parkinson’s disease and Amyotrophic Lateral Sclerosis and a group of healthy control subjects. So we have utilized Probabilistic Neural Network (PNN) as a classifier, to identify or differentiate the different patients and define the type of disease that they are suffering from, with accuracy in the range of 85- 95% so as to diagnose the diseases correctly and as a result, minimize the death rates

Item Type:Thesis (BTech)
Uncontrolled Keywords:Probabilistic Neural Network, Neuro-Degenerative Diseases, Gait Signals
Subjects:Engineering and Technology > Biomedical Engineering
Divisions: Engineering and Technology > Department of Biotechnology and Medical Engineering
ID Code:7726
Deposited By:Mr. Sanat Kumar Behera
Deposited On:18 Sep 2016 11:33
Last Modified:18 Sep 2016 11:33
Supervisor(s):Pramanik, K

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