Towards a voice-based severity scale for Parkinson’s disease monitoring
The unified Parkinson’s disease rating scale, used to monitor the disease progression, is based on visual assessments of motor symptoms. Vocal manifestations of Parkinson’s disease differ from the motor ones, specifically in their rate of change with disease severity. As such, a different scale is n...
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| Language: | English |
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De Gruyter
2024-12-01
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| Series: | Current Directions in Biomedical Engineering |
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| Online Access: | https://doi.org/10.1515/cdbme-2024-2168 |
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| author | Wright Helen Postema Michiel Aharonson Vered |
| author_facet | Wright Helen Postema Michiel Aharonson Vered |
| author_sort | Wright Helen |
| collection | DOAJ |
| description | The unified Parkinson’s disease rating scale, used to monitor the disease progression, is based on visual assessments of motor symptoms. Vocal manifestations of Parkinson’s disease differ from the motor ones, specifically in their rate of change with disease severity. As such, a different scale is needed to provide the voice measures of the disease severity. This study employed a dataset of voice-quality features from repeated recordings of Parkinson’s disease patients. The changes of all voice features across the categories were evaluated using one-way analysis-of-variance and support vector regression. Significant changes and marked non-linearly increasing or decreasing trends were shown for all features, for the three-categories scale. Significant changes and trends were obtained in the 12-categories scale, but only for the mild category and the severe category range of scores. The findings imply a potential for voice-based monitoring for the early and late severity stages of Parkinson’s disease that could be continuously used by patients and provide timely warnings of deterioration. |
| format | Article |
| id | doaj-art-2f3a85da22d144a1984483c844c4e878 |
| institution | DOAJ |
| issn | 2364-5504 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj-art-2f3a85da22d144a1984483c844c4e8782025-08-20T02:51:59ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042024-12-0110468668910.1515/cdbme-2024-2168Towards a voice-based severity scale for Parkinson’s disease monitoringWright Helen0Postema Michiel1Aharonson Vered2School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, 1 Jan Smuts Laan, 2001Braamfontein, South AfricaDepartment of Biomedical Technology, Faculty of Medicine and Health Technology, Tampere University,Tampere, FinlandSchool of Electrical and Information Engineering, University of the Witwatersrand,Johannesburg, South AfricaThe unified Parkinson’s disease rating scale, used to monitor the disease progression, is based on visual assessments of motor symptoms. Vocal manifestations of Parkinson’s disease differ from the motor ones, specifically in their rate of change with disease severity. As such, a different scale is needed to provide the voice measures of the disease severity. This study employed a dataset of voice-quality features from repeated recordings of Parkinson’s disease patients. The changes of all voice features across the categories were evaluated using one-way analysis-of-variance and support vector regression. Significant changes and marked non-linearly increasing or decreasing trends were shown for all features, for the three-categories scale. Significant changes and trends were obtained in the 12-categories scale, but only for the mild category and the severe category range of scores. The findings imply a potential for voice-based monitoring for the early and late severity stages of Parkinson’s disease that could be continuously used by patients and provide timely warnings of deterioration.https://doi.org/10.1515/cdbme-2024-2168vocal featuresdisease monitoringregressionupdrs |
| spellingShingle | Wright Helen Postema Michiel Aharonson Vered Towards a voice-based severity scale for Parkinson’s disease monitoring Current Directions in Biomedical Engineering vocal features disease monitoring regression updrs |
| title | Towards a voice-based severity scale for Parkinson’s disease monitoring |
| title_full | Towards a voice-based severity scale for Parkinson’s disease monitoring |
| title_fullStr | Towards a voice-based severity scale for Parkinson’s disease monitoring |
| title_full_unstemmed | Towards a voice-based severity scale for Parkinson’s disease monitoring |
| title_short | Towards a voice-based severity scale for Parkinson’s disease monitoring |
| title_sort | towards a voice based severity scale for parkinson s disease monitoring |
| topic | vocal features disease monitoring regression updrs |
| url | https://doi.org/10.1515/cdbme-2024-2168 |
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