Academic Journal
Video-based diagnosis support system for pianists with Musician’s dystonia
| العنوان: | Video-based diagnosis support system for pianists with Musician’s dystonia |
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| المؤلفون: | Takanori Oku, Shinichi Furuya, André Lee, Eckart Altenmüller |
| المصدر: | Frontiers in Neurology, Vol 15 (2024) |
| بيانات النشر: | Frontiers Media S.A. |
| سنة النشر: | 2024 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Musician’s dystonia, pianists, machine learning, video-based diagnostic method, hand biomechanics, Neurology. Diseases of the nervous system, RC346-429 |
| الوصف: | BackgroundMusician’s dystonia is a task-specific movement disorder that deteriorates fine motor control of skilled movements in musical performance. Although this disorder threatens professional careers, its diagnosis is challenging for clinicians who have no specialized knowledge of musical performance.ObjectivesTo support diagnostic evaluation, the present study proposes a novel approach using a machine learning-based algorithm to identify the symptomatic movements of Musician’s dystonia.MethodsWe propose an algorithm that identifies the dystonic movements using the anomaly detection method with an autoencoder trained with the hand kinematics of healthy pianists. A unique feature of the algorithm is that it requires only the video image of the hand, which can be derived by a commercially available camera. We also measured the hand biomechanical functions to assess the contribution of peripheral factors and improve the identification of dystonic symptoms.ResultsThe proposed algorithm successfully identified Musician’s dystonia with an accuracy and specificity of 90% based only on video footages of the hands. In addition, we identified the degradation of biomechanical functions involved in controlling multiple fingers, which is not specific to musical performance. By contrast, there were no dystonia-specific malfunctions of hand biomechanics, including the strength and agility of individual digits.ConclusionThese findings demonstrate the effectiveness of the present technique in aiding in the accurate diagnosis of Musician’s dystonia. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1664-2295 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fneur.2024.1409962/full; https://doaj.org/toc/1664-2295; https://doaj.org/article/02405c940cef4093b6e4f8a3327a1d69 |
| DOI: | 10.3389/fneur.2024.1409962 |
| الاتاحة: | https://doi.org/10.3389/fneur.2024.1409962 https://doaj.org/article/02405c940cef4093b6e4f8a3327a1d69 |
| رقم الانضمام: | edsbas.C8D1C781 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 16642295 |
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| DOI: | 10.3389/fneur.2024.1409962 |