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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 4/2021

03.01.2021 | Research Article-Computer Engineering and Computer Science

Probabilistic Neural Network-based Model for Identification of Parkinson’s Disease by using Voice Profile and Personal Data

verfasst von: T. Pandu Ranga Vital, Janmenjoy Nayak, Bighnaraj Naik, D. Jayaram

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 4/2021

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Abstract

Parkinson’s disease (PD) is an aging neurological disease deficiencies dopamine and occupies the second position among the neurological disease after the Alzheimer’s in the world. The identification of PD in the early stage is extremely advanced and expensive. Many researchers investigated on PD in divergent ways and different approaches to identifying the PD in the early stage with low cost. One of the effective approaches such as PD voice analysis is an important topic in the current decade. In this paper, a novel probabilistic neural network-based approach is proposed for analyzing the PD. The major objective of this paper is to develop a highly accurate probabilistic neural network-based intelligent approach for the identification and classification of PD diseases. The inputs are considered as 1200 sound records as vowel vocalizations ‘a’, ‘e’, ‘i’, ‘o’, and ‘u’ in different timings (morning, mid-day, and night) of the day from 62 PD and 51 non-PD individuals. From the experimental analysis, it is evident that the performance of the dataset with PNN is increased proportionally to the incremental neurons in the hidden layer of PNN up to seven and it is found 100% accuracy with minimum time and gradient values. The projected PNN model with seven hidden layer neurons is a very powerful tool for predicting the PD in early detections with minimum cost. Comparative analysis with other standard machine learning approaches is evident towards the superiority of the proposed PNN model performance for successful identification of PD through voice analysis.
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Metadaten
Titel
Probabilistic Neural Network-based Model for Identification of Parkinson’s Disease by using Voice Profile and Personal Data
verfasst von
T. Pandu Ranga Vital
Janmenjoy Nayak
Bighnaraj Naik
D. Jayaram
Publikationsdatum
03.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 4/2021
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-05080-7

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