ArticleJMIR formative research2020
Effectiveness of a Voice-Based Mental Health Evaluation System for Mobile Devices: Prospective Study.
Article in JMIR formative research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Smartphone-Based Digital Phenotyping Across Health Conditions: Scoping Review.Journal of medical Internet research · 2026Article
- Cross-Cultural Identification of Acoustic Voice Features for Depression: A Cross-Sectional Study of Vietnamese and Japanese Datasets.Bioengineering (Basel, Switzerland) · 2025Article
- Use of the ME-BYO Index, a Mobile Health App, During an Online Strength Training Program in Adults: Fidelity, Feasibility, and Acceptability Study.JMIR human factors · 2025Article
- Artificial intelligence in primary ovarian insufficiency management: opportunities and challenges.Journal of assisted reproduction and genetics · 2025Review
- Speech Emotion Recognition in People at High Risk of Dementia.Dementia and neurocognitive disorders · 2024Article
- Distinguish the Severity of Illness Associated with Novel Coronavirus (COVID-19) Infection via Sustained Vowel Speech Features.International journal of environmental research and public health · 2023Article
- Severity Classification Using Dynamic Time Warping-Based Voice Biomarkers for Patients With COVID-19: Feasibility Cross-Sectional Study.JMIR biomedical engineering · 2023Article
- The ME-BYO index: A development and validation project of a novel comprehensive health index.Frontiers in public health · 2023Review
- Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach.International journal of environmental research and public health · 2022Article
- Checking the validity and reliability of the Japanese version of the Mini-Cog using a smartphone application.BMC research notes · 2022Article
- Using Convolutional Neural Networks for the Assessment Research of Mental Health.Computational intelligence and neuroscience · 2022Article
- Evaluation of the validity and reliability of the 10-meter walk test using a smartphone application among Japanese older adults.Frontiers in sports and active living · 2022Article
- Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances.Sensors (Basel, Switzerland) · 2021Article
- Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls.International journal of environmental research and public health · 2021Article
- Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review.IEEE transactions on affective computingArticle
- Use of voice features from smartphones for monitoring depressive disorders: Scoping review.Digital healthArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe developed a system for monitoring mental health using voice data from daily phone calls, termed Mind Monitoring System (MIMOSYS), by implementing a method for estimating mental health status from voice data.
objectiveThe objective of this study was to evaluate the potential of this system for detecting depressive states and monitoring stress-induced mental changes.
methodsWe opened our system to the public in the form of a prospective study in which data were collected over 2 years from a large, unspecified sample of users. We used these data to analyze the relationships between the rate of continued use, the men-to-women ratio, and existing psychological tests for this system over the study duration. Moreover, we analyzed changes in mental data over time under stress from particular life events.
resultsThe system had a high rate of continued use. Voice indicators showed that women have more depressive tendencies than men, matching the rate of depression in Japan. The system's voice indicators and the scores on classical psychological tests were correlated. We confirmed deteriorating mental health for users in areas affected by major earthquakes in Japan around the time of the earthquakes.
conclusionsThe results suggest that although this system is insufficient for detecting depression, it may be effective for monitoring changes in mental health due to stress. The greatest feature of our system is mental health monitoring, which is most effectively accomplished by performing long-term time-series analysis of the acquired data considering the user's life events. Such a system can improve the implementation of patient interventions by evaluating objective data along with life events.
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