Article ID Journal Published Year Pages File Type
5124419 Journal of Voice 2017 7 Pages PDF
Abstract
The results suggest that the correlation dimension and second-order entropy at the minimum embedding dimension are valid analysis tools for the diagnosis of voice disorders. Additionally, the efficiency and accuracy of these parameters yield potential for clinical usage because of lower computation time than current methods.
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Related Topics
Health Sciences Medicine and Dentistry Otorhinolaryngology and Facial Plastic Surgery
Preview
Optimized Nonlinear Dynamic Analysis of Pathologic Voices With Laryngeal Paralysis Based on the Minimum Embedding Dimension
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