Nonlinear speech analysis algorithms mapped to a standard metric achieve clinically useful quantification of average Parkinson's disease symptom severity
Journal Article
Overview
publication date
- June 6, 2011
has subject area
- Basal Ganglia Diseases - Parkinson Disease
- Computing Methodologies - Algorithms
- Disease Progression
- Environment and Public Health - Regression Analysis
- Environment and Public Health - Severity of Illness Index
- Female
- Health Care Evaluation Mechanisms - Regression Analysis
- Health Care Evaluation Mechanisms - Severity of Illness Index
- Humans
- Investigative Techniques - Regression Analysis
- Investigative Techniques - Severity of Illness Index
- Male
- Mathematical Concepts - Algorithms
- Medicine - Telemedicine
- Monitoring, Physiologic
- Movement Disorders - Parkinson Disease
- Nervous System Diseases - Speech Disorders
- Neurodegenerative Diseases - Parkinson Disease
- Patient Care Management - Telemedicine
- Signs and Symptoms - Speech Disorders
- Speech-Language Pathology
- Telecommunications - Telemedicine
has restriction
- bronze
Date in CU Experts
- September 6, 2013 9:44 AM
Full Author List
- Tsanas A; Little MA; McSharry PE; Ramig LO
author count
- 4
citation count
- 127
published in
Other Profiles
International Standard Serial Number (ISSN)
- 1742-5689
Electronic International Standard Serial Number (EISSN)
- 1742-5662
Digital Object Identifier (DOI)
Additional Document Info
start page
- 842
end page
- 855
volume
- 8
issue
- 59