Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Mental Health Assessment Method Based on Emotion Level Derived from Voice

Shuji Shinohara
* ORCID logo ,
Mitsuteru Nakamura
,
Yasuhiro Omiya
,
Masakazu Higuchi
,
Naoki Hagiwara
,
Shunji Mitsuyoshi
,
Hiroyuki Toda
,
Taku Saito
,
Masaaki Tanichi
,
Aihide Yoshino
,
Shinichi Tokuno
Version 1 : Received: 10 August 2020 / Approved: 11 August 2020 / Online: 11 August 2020 (05:33:57 CEST)

How to cite: Shinohara, S.; Nakamura, M.; Omiya, Y.; Higuchi, M.; Hagiwara, N.; Mitsuyoshi, S.; Toda, H.; Saito, T.; Tanichi, M.; Yoshino, A.; Tokuno, S. Mental Health Assessment Method Based on Emotion Level Derived from Voice. Preprints 2020, 2020080251. https://doi.org/10.20944/preprints202008.0251.v1 Shinohara, S.; Nakamura, M.; Omiya, Y.; Higuchi, M.; Hagiwara, N.; Mitsuyoshi, S.; Toda, H.; Saito, T.; Tanichi, M.; Yoshino, A.; Tokuno, S. Mental Health Assessment Method Based on Emotion Level Derived from Voice. Preprints 2020, 2020080251. https://doi.org/10.20944/preprints202008.0251.v1

Abstract

In many developed countries, mental health disorders have become problematic, and the economic loss due to treatment costs and interference with work is immeasurable. Therefore, we developed a method to assess individuals’ mental health using emotional components contained in their voice. We propose two indices of mental health: vitality, a short-term index, and mental activity, a long-term index capturing the trends in vitality. To evaluate our method, we used the voices of healthy individuals (n = 14) and patients with major depression (n = 30). The patients were also assessed by specialists using the Hamilton Rating Scale for Depression (HAM-D). A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33, p < .05). We could discriminate the voice data of healthy individuals and patients having depression with a high accuracy using the vitality (p = .0085, area under the curve = 0.76). Further, we developed a method to estimate stress through emotion instead of analyzing stress directly from voice data. By daily monitoring of vitality using smartphones, we can encourage hospital visits for people before they become depressed or during the early stages of depression, to prevent adverse consequences of depression.

Keywords

mental health assessment; vitality; mental activity; voice index; emotion analysis; noninvasiveness

Subject

Medicine and Pharmacology, Psychiatry and Mental Health

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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