Effectiveness of a voice analysis technique in the assessment of depression status of individuals from Ho Chi Minh City, Viet Nam: A cross-sectional study

Volume 9, Issue 4, Page No 73-78, 2024

Author’s Name: Le Truong Vinh Phuc^1,2, Mituteru Nakamura³, Masakazu Higuchi³, Shinichi Tokuno^1,3

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¹Graduate School of Health Innovation, Kanagawa University of Human Services, Kanagawa, 241-0815, Japan.
²University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 749000, Vietnam.
³Voice Analysis and Measurement of Pathophysiology, Department of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, 113-0033, Japan.

^a)whom correspondence should be addressed. E-mail: vinhphuc0104@gmail.com

Adv. Sci. Technol. Eng. Syst. J. 9(4), 73-78 (2024); DOI: 10.25046/aj090408

Keywords: Mind Monitoring System, Mental health assessment, Depression, Voice analysis, Cross-sectional study

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Abstract

The Mind Monitoring System (MIMOSYS) is a novel voice analysis technique for mental health assessment that has been validated in some languages; however, no research has been conducted on the Vietnamese yet. This study aimed to examine the ability of the Vitality score extracted from the MIMOSYS system to assess depression status based on the standards of the Patient Health Questionnaire-9 items (PHQ-9) and Beck’s Depression Inventory (BDI) questionnaire using the Vietnamese language. In this cross-sectional study conducted between August 1, 2022 and September 4, 2022, students and staff from a university, and patients from a hospital were recruited. Participants were asked to complete the self-administered depression questionnaires (PHQ-9 and BDI), and their voice data was collected by reading designated sentences. MIMOSYS extracted the Vitality score from the participant’s voice data. One hundred and twenty-two participants with a mean age of 31 years were included in the study; 72.4% of them were female. After adjusting for age and sex, negative correlations between the Vitality score and psychological test scores were found. For discriminating individuals with a high risk of depression, using the BDI score as a standard, the area under the curve of the Vitality score was 0.72. Sensitivity, specificity, and accuracy evaluations also reported a moderate discrimination ability of the Vitality score on the risk of depression by the BDI. In conclusion, voice analysis can be a viable technique for depression assessment in Vietnamese; however, further investigations are necessary to confirm our findings.

Received: 04 June 2024, Revised: 29 July 2024, Accepted: 01 August 2024, Published Online: 03 August 2024

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Effectiveness of a voice analysis technique in the assessment of depression status of individuals from Ho Chi Minh City, Viet Nam: A cross-sectional study