Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease

• Published in: Medical & biological engineering & computing Vol. 62; no. 2; pp. 371 - 388
• Main Authors: Wang, Yiwen, Li, Fan, Zhang, Xiaoheng, Wang, Pin, Li, Yongming, Zhang, Yanling
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2024; Springer Nature B.V
• Subjects: Algorithms; Artificial neural networks; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Clustering; Compressing; Compression; Computer Applications; data collection; Datasets; Diagnosis; Feature selection; Flow charts; Human Physiology; Imaging; Learning algorithms; Machine learning; Medical diagnosis; Modules; Movement disorders; Multilayers; Neurodegenerative diseases; Original Article; Parkinson disease; Parkinson's disease; Pathology; Radiology; Speech; Corpus sample compression; Parkinson's disease; Fuzzy c-means clustering; Ensemble learning; Speech diagnosis; Envelope learning

Machine learning-based Parkinson’s disease (PD) speech diagnosis is a current research hotspot. However, existing methods use each corpus sample as the base unit for modeling. Since different corpus samples within the same subject have different sensitive speech features, it is difficult to obtain u...