Study on indicators for depression in the elderly using voice and attribute information

Masakazu Higuchi; Shuji Shinohara; Mitsuteru Nakamura; Yasuhiro Omiya; Naoki Hagiwara; Takeshi Takano; Shunji Mitsuyoshi; Shinichi Tokuno

doi:10.1007/978-3-319-93644-4_7

Study on indicators for depression in the elderly using voice and attribute information

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

As the age of the human population increases worldwide, depression in elderly patients has become a problem in medical care. In this study, we analyzed voice-emotion component data, attribute data, and Beck Depression Inventory (BDI) scores by multivariate analysis, particularly in the elderly, and proposed evaluation indicators for estimating the state of depression of elderly patients. We divided the data into two groups according to BDI scores: a state of depression and the absence of this state. The labels distinguishing the two groups were dependent variables, while the voice-emotion component and attribute information were set as independent variables, and we performed logistic regression analysis on the data. We obtained a prediction model with significantly sufficient fitness. In the receiver operating characteristic curve for the proposed depression evaluation indicator, a sorting performance with an area under the curve of approximately 0.93 was obtained.

Original language	English (US)
Title of host publication	Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers
Editors	Leszek Maciaszek, John O Donoghue, William Molloy, Carsten Rocker, Martina Ziefle
Publisher	Springer Verlag
Pages	127-146
Number of pages	20
ISBN (Print)	9783319936437
DOIs	https://doi.org/10.1007/978-3-319-93644-4_7
State	Published - 2018
Externally published	Yes
Event	3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017 - Porto, Portugal Duration: Apr 28 2017 → Apr 29 2017

Publication series

Name	Communications in Computer and Information Science
Volume	869
ISSN (Print)	1865-0929

Conference

Conference	3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017
Country	Portugal
City	Porto
Period	4/28/17 → 4/29/17

Keywords

Attribute information
Beck depression inventory
Depression
Emotion recognition
Voice

ASJC Scopus subject areas

Computer Science(all)
Mathematics(all)

Access to Document

10.1007/978-3-319-93644-4_7

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Cite this

Higuchi, M., Shinohara, S., Nakamura, M., Omiya, Y., Hagiwara, N., Takano, T., Mitsuyoshi, S., & Tokuno, S. (2018). Study on indicators for depression in the elderly using voice and attribute information. In L. Maciaszek, J. O Donoghue, W. Molloy, C. Rocker, & M. Ziefle (Eds.), Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers (pp. 127-146). (Communications in Computer and Information Science; Vol. 869). Springer Verlag. https://doi.org/10.1007/978-3-319-93644-4_7

Study on indicators for depression in the elderly using voice and attribute information. / Higuchi, Masakazu; Shinohara, Shuji; Nakamura, Mitsuteru; Omiya, Yasuhiro; Hagiwara, Naoki; Takano, Takeshi; Mitsuyoshi, Shunji; Tokuno, Shinichi.

Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers. ed. / Leszek Maciaszek; John O Donoghue; William Molloy; Carsten Rocker; Martina Ziefle. Springer Verlag, 2018. p. 127-146 (Communications in Computer and Information Science; Vol. 869).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Higuchi, M, Shinohara, S, Nakamura, M, Omiya, Y, Hagiwara, N, Takano, T, Mitsuyoshi, S & Tokuno, S 2018, Study on indicators for depression in the elderly using voice and attribute information. in L Maciaszek, J O Donoghue, W Molloy, C Rocker & M Ziefle (eds), Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers. Communications in Computer and Information Science, vol. 869, Springer Verlag, pp. 127-146, 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017, Porto, Portugal, 4/28/17. https://doi.org/10.1007/978-3-319-93644-4_7

Higuchi M, Shinohara S, Nakamura M, Omiya Y, Hagiwara N, Takano T et al. Study on indicators for depression in the elderly using voice and attribute information. In Maciaszek L, O Donoghue J, Molloy W, Rocker C, Ziefle M, editors, Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers. Springer Verlag. 2018. p. 127-146. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-319-93644-4_7

Higuchi, Masakazu ; Shinohara, Shuji ; Nakamura, Mitsuteru ; Omiya, Yasuhiro ; Hagiwara, Naoki ; Takano, Takeshi ; Mitsuyoshi, Shunji ; Tokuno, Shinichi. / Study on indicators for depression in the elderly using voice and attribute information. Information and Communication Technologies for Ageing Well and e-Health - 3rd International Conference, ICT4AWE 2017, Revised Selected Papers. editor / Leszek Maciaszek ; John O Donoghue ; William Molloy ; Carsten Rocker ; Martina Ziefle. Springer Verlag, 2018. pp. 127-146 (Communications in Computer and Information Science).

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