IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity
The objectives of the article to propose the method for complex recognition of Parkinson's disease using machine learning, based on markers of voice analysis and changes in patient movements on known data sets. The time-frequency function, (the wavelet function) and the Meyer kepstral coefficie...
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| Format: | Article |
| Language: | English |
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Belarusian National Technical University
2024-01-01
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| Series: | Системный анализ и прикладная информатика |
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| Online Access: | https://sapi.bntu.by/jour/article/view/645 |
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| author | U. V. Vishniakou X. Yiwei |
| author_facet | U. V. Vishniakou X. Yiwei |
| author_sort | U. V. Vishniakou |
| collection | DOAJ |
| description | The objectives of the article to propose the method for complex recognition of Parkinson's disease using machine learning, based on markers of voice analysis and changes in patient movements on known data sets. The time-frequency function, (the wavelet function) and the Meyer kepstral coefficient function are used. The KNN algorithm and the algorithm of a two-layer neural network were used for training and testing on publicly available datasets on speech changes and motion retardation in Parkinson's disease. A Bayesian optimizer was also used to improve the hyperparameters of the KNN algorithm. The constructed models achieved an accuracy of 94.7 % and 96.2 % on a data set on speech changes in patients with Parkinson's disease and a data set on slowing down the movement of patients, respectively. The recognition results are close to the world level. The proposed technique is intended for use in the subsystem of IT diagnostics of nervous diseases. |
| format | Article |
| id | doaj-art-7483e2c2fb9646bfaeac36a68479654a |
| institution | Kabale University |
| issn | 2309-4923 2414-0481 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Системный анализ и прикладная информатика |
| spelling | doaj-art-7483e2c2fb9646bfaeac36a68479654a2025-02-03T11:37:40ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812024-01-0104515710.21122/2309-4923-2023-4-51-57476IT diagnostics of Parkinson's disease based on voice markers and decreased motor activityU. V. Vishniakou0X. Yiwei1Belarusian state University of Informatics and RadioelectronicsBelarusian state University of Informatics and RadioelectronicsThe objectives of the article to propose the method for complex recognition of Parkinson's disease using machine learning, based on markers of voice analysis and changes in patient movements on known data sets. The time-frequency function, (the wavelet function) and the Meyer kepstral coefficient function are used. The KNN algorithm and the algorithm of a two-layer neural network were used for training and testing on publicly available datasets on speech changes and motion retardation in Parkinson's disease. A Bayesian optimizer was also used to improve the hyperparameters of the KNN algorithm. The constructed models achieved an accuracy of 94.7 % and 96.2 % on a data set on speech changes in patients with Parkinson's disease and a data set on slowing down the movement of patients, respectively. The recognition results are close to the world level. The proposed technique is intended for use in the subsystem of IT diagnostics of nervous diseases.https://sapi.bntu.by/jour/article/view/645parkinsons disease recognitionmachine learningknn algorithmbayesian neural network |
| spellingShingle | U. V. Vishniakou X. Yiwei IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity Системный анализ и прикладная информатика parkinsons disease recognition machine learning knn algorithm bayesian neural network |
| title | IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity |
| title_full | IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity |
| title_fullStr | IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity |
| title_full_unstemmed | IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity |
| title_short | IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity |
| title_sort | it diagnostics of parkinson s disease based on voice markers and decreased motor activity |
| topic | parkinsons disease recognition machine learning knn algorithm bayesian neural network |
| url | https://sapi.bntu.by/jour/article/view/645 |
| work_keys_str_mv | AT uvvishniakou itdiagnosticsofparkinsonsdiseasebasedonvoicemarkersanddecreasedmotoractivity AT xyiwei itdiagnosticsofparkinsonsdiseasebasedonvoicemarkersanddecreasedmotoractivity |