Feasibility Study for Estimation of Depression Severity using Voice Analysis

Mitsuteru Nakamura, Shuji Shinohara, Yasuhiro Omiya, Masakazu Higuchi, Shunji Mitsuyoshi, Takeshi Takano, Hiroyuki Toda, Taku Saito, Masaaki Tanichi, Aihide Yoshino, Shinichi Tokuno

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Voice analysis is suitable for screening large populations and daily monitoring of illnesses because of its advantages of cost and usability. We examined the feasibility of estimating the severity of major depressive disorder (MDD) using voice analysis. We developed an estimator for the Hamilton depression rating scale (HAM-D), which is the gold-standard of evaluation for MDD, by iteration of multiple regressions. As a result, the estimation index had a high correlation (0.832) with the HAM-D score. The results thus demonstrated the feasibility of voice-based screening and monitoring of MDD.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2792-2794
Number of pages3
ISBN (Electronic)9781538654880
DOIs
StatePublished - Jan 21 2019
Externally publishedYes
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: Dec 3 2018Dec 6 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
CountrySpain
CityMadrid
Period12/3/1812/6/18

Keywords

  • Bipolar disorder
  • Hamilton Depression Rating Scale
  • Major depression
  • Voice analysis of pathophysiology

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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