Document Detail


Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk.
MedLine Citation:
PMID:  15376501     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Among the many clinical decisions that psychiatrists must make, assessment of a patient's risk of committing suicide is definitely among the most important, complex, and demanding. When reviewing his clinical experience, one of the authors observed that successful predictions of suicidality were often based on the patient's voice independent of content. The voices of suicidal patients judged to be high-risk near-term exhibited unique qualities, which distinguished them from nonsuicidal patients. We investigated the discriminating power of two excitation-based speech parameters, vocal jitter and glottal flow spectrum, for distinguishing among high-risk near-term suicidal, major depressed, and nonsuicidal patients. Our sample consisted of ten high-risk near-term suicidal patients, ten major depressed patients, and ten nondepressed control subjects. As a result of two sample statistical analyses, mean vocal jitter was found to be a significant discriminator only between suicidal and nondepressed control groups (p < 0.05). The slope of the glottal flow spectrum, on the other hand, was a significant discriminator between all three groups (p < 0.05). A maximum likelihood classifier, developed by combining the a posteriori probabilities of these two features, yielded correct classification scores of 85% between near-term suicidal patients and nondepressed controls, 90% between depressed patients and nondepressed controls, and 75% between near-term suicidal patients and depressed patients. These preliminary classification results support the hypothesized link between phonation and near-term suicidal risk. However, validation of the proposed measures on a larger sample size is necessary.
Authors:
Asli Ozdas; Richard G Shiavi; Stephen E Silverman; Marilyn K Silverman; D Mitchell Wilkes
Publication Detail:
Type:  Clinical Trial; Comparative Study; Controlled Clinical Trial; Journal Article; Validation Studies    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  51     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2004 Sep 
Date Detail:
Created Date:  2004-09-20     Completed Date:  2004-10-19     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1530-40     Citation Subset:  IM    
Affiliation:
Vanderbilt University, Department of Biomedical Informatics, Nashville, TN 87215 USA. asli.ozdas@vanderbilt.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Depressive Disorder, Major / classification,  complications,  diagnosis*
Diagnosis, Computer-Assisted / methods*
Glottis / physiopathology
Humans
Male
Reproducibility of Results
Risk Assessment / methods*
Risk Factors
Sensitivity and Specificity
Sound Spectrography / methods*
Suicide / classification*,  prevention & control*
Voice Disorders / complications,  diagnosis*
Voice Quality

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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