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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

, , , , , и . IEEE J. Biomed. Health Informatics, 23 (4): 1618-1630 (2019)

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Juan Solache Orozco

Rafael Macián-Juan

Gerardo Orozco

Hsiao-Mei Juan

Alexander Juan

 

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Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , и . Speech Commun., (2022)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , и . Comput. Speech Lang., (апреля 2024)End-to-End Parkinson's Disease Detection Using a Deep Convolutional Recurrent Network., , , и . TSD, том 13502 из Lecture Notes in Computer Science, стр. 326-338. Springer, (2022)Electrophysiological and Mechanical Approaches to the Swallowing Analysis., , , , и . WEA, том 1274 из Communications in Computer and Information Science, стр. 281-290. Springer, (2020)Towards an automatic monitoring of the neurological state of Parkinson's patients from speech., , , , , , , и . ICASSP, стр. 6490-6494. IEEE, (2016)Voice pathology detection in continuous speech using nonlinear dynamics., , , , , и . ISSPA, стр. 1030-1033. IEEE, (2012)Automatic Detection of Parkinson's Disease from Compressed Speech Recordings., , , и . TSD, том 9302 из Lecture Notes in Computer Science, стр. 88-95. Springer, (2015)Degree of Parkinson's disease severity estimation based on speech signal processing., , , , , , , и . TSP, стр. 503-506. IEEE, (2016)Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease., , , и . IWINAC (2), том 10338 из Lecture Notes in Computer Science, стр. 424-434. Springer, (2017)Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals., , , , , и . ICCST, стр. 1-6. IEEE, (2014)