A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM
PD (Parkinson's Disease) is a neurological illness that develops with time and causes motor and non-motor symptoms. A lot of PD patients have trouble moving normally in the early phases of the illness. Vocal disorders are among the most prevalent symptoms. Latest PD detection investigations hav...
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University of Kragujevac
2024-12-01
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| Series: | Proceedings on Engineering Sciences |
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| Online Access: | https://pesjournal.net/journal/v6-n4/13.pdf |
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| author | Repudi Pitchiah T. Sasi Rooba Uma Pavan Kumar |
| author_facet | Repudi Pitchiah T. Sasi Rooba Uma Pavan Kumar |
| author_sort | Repudi Pitchiah |
| collection | DOAJ |
| description | PD (Parkinson's Disease) is a neurological illness that develops with time and causes motor and non-motor symptoms. A lot of PD patients have trouble moving normally in the early phases of the illness. Vocal disorders are among the most prevalent symptoms. Latest PD detection investigations have concentrated on diagnostic methods on the basis of vocal problems, which are an excitingly new area of study with a lot of potential. For a range of prediction problems that are troubling medical practitioners, Deep Learning (DL) has gained popularity recently. In this study, RNN-LSTM is combined with numerous architectures to develop more accurate prediction models for the detection of PD on the basis of feature analysis of various patient speech samples. Importantly, Deep Neural Networks have become the best classification tool for PD detection even without the use of a feature selection strategy. RNN-LSTM was then fine-tuned, resulting in an accuracy of 98.772 percent. |
| format | Article |
| id | doaj-art-bc0910ba39a54673a7d41ec5054a6721 |
| institution | OA Journals |
| issn | 2620-2832 2683-4111 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | University of Kragujevac |
| record_format | Article |
| series | Proceedings on Engineering Sciences |
| spelling | doaj-art-bc0910ba39a54673a7d41ec5054a67212025-08-20T02:21:41ZengUniversity of KragujevacProceedings on Engineering Sciences2620-28322683-41112024-12-01641541155010.24874/PES06.04.013A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTMRepudi Pitchiah 0https://orcid.org/0000-0002-3092-914XT. Sasi Rooba 1https://orcid.org/0000-0001-9544-4496Uma Pavan Kumar 2https://orcid.org/0000-0003-1448-685XDept. of Computer Science Engineering, Annamalai University, Chidambaram, Tamil Nadu Dept of Computer Science; Engineering, Annamalai University, Chidambaram, Tamil Nadu Dept of Computer Science and Engineering, MRIT, Hyderabad, Telangana PD (Parkinson's Disease) is a neurological illness that develops with time and causes motor and non-motor symptoms. A lot of PD patients have trouble moving normally in the early phases of the illness. Vocal disorders are among the most prevalent symptoms. Latest PD detection investigations have concentrated on diagnostic methods on the basis of vocal problems, which are an excitingly new area of study with a lot of potential. For a range of prediction problems that are troubling medical practitioners, Deep Learning (DL) has gained popularity recently. In this study, RNN-LSTM is combined with numerous architectures to develop more accurate prediction models for the detection of PD on the basis of feature analysis of various patient speech samples. Importantly, Deep Neural Networks have become the best classification tool for PD detection even without the use of a feature selection strategy. RNN-LSTM was then fine-tuned, resulting in an accuracy of 98.772 percent.https://pesjournal.net/journal/v6-n4/13.pdfclassificationdeep neural networksparkinson’s diseasedeep learning |
| spellingShingle | Repudi Pitchiah T. Sasi Rooba Uma Pavan Kumar A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM Proceedings on Engineering Sciences classification deep neural networks parkinson’s disease deep learning |
| title | A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM |
| title_full | A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM |
| title_fullStr | A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM |
| title_full_unstemmed | A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM |
| title_short | A NOVEL VOICE-BASED SYSTEM FOR PARKINSON’S DISEASE DETECTION USING RNN-LSTM |
| title_sort | novel voice based system for parkinson s disease detection using rnn lstm |
| topic | classification deep neural networks parkinson’s disease deep learning |
| url | https://pesjournal.net/journal/v6-n4/13.pdf |
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