Robust parsimonious selection of dysphonia measures for telemonitoring of parkinson's disease symptom severity

Models and Analysis of Vocal Emissions for Biomedical Applications - 7th International Workshop, MAVEBA 2011

Volumn , Issue , 2011, Pages 169-172

  Tsanas, Athanasios ^a   Little, Max A ^a,b   McSharry, Patrick E ^a   Ramig, Lorraine O ^c,d  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d University of Arizona   (United States)

Author keywords

Feature selection; Parkinson's disease; Telemedicine; Unified parkinson's disease rating scale

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; LEARNING SYSTEMS; MEDICAL APPLICATIONS; SIGNAL PROCESSING; SPEECH COMMUNICATION; TELEMEDICINE;

PARKINSON'S DISEASE; PATHOPHYSIOLOGICAL; ROBUST FEATURE SELECTION; SPEECH SIGNAL PROCESSING; STATISTICAL MACHINE LEARNING; SUBJECTIVE EVALUATIONS; UNIFIED PARKINSON'S DISEASE RATING SCALE; VERY LARGE DATABASE;

NEURODEGENERATIVE DISEASES;

EID: 84860368865     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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