Discrimination of bipolar disorders using voice

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

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

Abstract

Several methods have been developed for screening mentally impaired patients using biomarkers, but these methods are invasive and costly. Self-administered tests are also used as screening methods. They are non-invasive and relatively simple, but they cannot eliminate the influence of reporting bias. On the other hand, the authors have conducted studies on technologies for inferring the mental state of persons from their voices. Analysis using voice has the advantage of being noninvasive and easy to perform. This study proposes a vocal index that will distinguish between a healthy person and a bipolar I or II patient using a polytomous logistic regression analysis with patients with bipolar disorder as subjects. When the subjects were classified using the prediction model obtained from the analysis, the subjects were categorized into three groups with an accuracy of approximately 67%. This result suggested that the vocal index could be a new evaluation index for discriminating between subjects with and those without bipolar disorder.

Original languageEnglish (US)
Title of host publicationPervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings
EditorsPietro Cipresso, Silvia Serino, Daniela Villani
PublisherSpringer Verlag
Pages199-207
Number of pages9
ISBN (Print)9783030258719
DOIs
StatePublished - 2019
Event9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019 - Buenos Aires, Argentina
Duration: Apr 23 2019Apr 24 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume288
ISSN (Print)1867-8211

Conference

Conference9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019
CountryArgentina
CityBuenos Aires
Period4/23/194/24/19

Keywords

  • Bipolar disorders
  • Polytomous logistic regression analysis
  • Voice

ASJC Scopus subject areas

  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'Discrimination of bipolar disorders using voice'. Together they form a unique fingerprint.

Cite this