Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5124419 | Journal of Voice | 2017 | 7 Pages |
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.
Related Topics
Health Sciences
Medicine and Dentistry
Otorhinolaryngology and Facial Plastic Surgery
Authors
Nanmu Huang, Yu Zhang, William Calawerts, Jack J. Jiang,