Study on depression evaluation indicator in the elderly using sensibility technology

Masakazu Higuchi, Shuji Shinohara, Mitsuteru Nakamura, Yasuhiro Omiya, Naoki Hagiwara, Shunji Mitsuyoshi, Shinichi Tokuno

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

2 Scopus citations

Abstract

Depression is important issue with aging of global population. Previously we have proposed a method to evaluate the mental health status of a person by his or her voice and developed a smartphone-based system to monitor mental health from voice during a call. Although the system has excellent continuous monitoring capability, it has not enough specificity for screening. Therefore, in this study we propose an evaluation indicator to assess depression status in the elderly, based on multivariate analysis using the emotional components of the voice data collected in the aforementioned system and the BDI score. The voice emotion data on subjects was divided into two groups according to BDI score, one where doctor's diagnosis was deemed necessary and the other not so. A significant difference between the two groups was observed in t-Test when the mean of the evaluation indicator estimated using data of each group and applying logistic regression prediction equation was compared. Moreover, a performance corresponding to AUC of approximately 0.75 was achieved in the ROC curve of the derived evaluation indicator. The results suggest that a new method to evaluate depression using voice has likely been developed.

Original languageEnglish (US)
Title of host publicationICT4AWE 2017 - Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health
EditorsCarsten Rocker, John O'Donoghue, Martina Ziefle, Leszek Maciaszek, Leszek Maciaszek, William Molloy
PublisherSciTePress
Pages70-77
Number of pages8
ISBN (Electronic)9789897582516
DOIs
StatePublished - 2017
Externally publishedYes
Event3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017 - Porto, Portugal
Duration: Apr 28 2017Apr 29 2017

Publication series

NameICT4AWE 2017 - Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health

Conference

Conference3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017
Country/TerritoryPortugal
CityPorto
Period4/28/174/29/17

Keywords

  • BDI
  • Depression
  • Emotion recognition
  • Voice

ASJC Scopus subject areas

  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications

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