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Shinichi Tokuno

Biographic Data

ID7913818
NAMEShinichi Tokuno
GIVEN NAMESShinichi
FAMILY NAMETokuno
SIGNATURETOKUNO S
AFFILIATIONSKanagawa University of Human Services
ORCID0000-0002-2691-6979
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Distinguish the Severity of Illness Associated with Novel Coronavirus (Covid-19) Infection via Sustained Vowel Speech Features

    Open Access•Yasuhiro Omiya, Daisuke Mizuguchi et al.•ARTICLE•International Journal of…•2023

    The authors are currently conducting research on methods to estimate psychiatric and neurological disorders from a voice by focusing on the features of speech. It is empirically known that numerous psychosomatic symptoms appear in voice biomarkers; in this study, we examined the effectiveness of distinguishing changes in the symptoms associated with novel coronavirus infection using speech features. Multiple speech features were extracted from th…

  • Estimating Depressive Symptom Class from Voice

    Open Access•Takeshi Takano, Daisuke Mizuguchi et al.•ARTICLE•International Journal of…•2023

    Voice-based depression detection methods have been studied worldwide as an objective and easy method to detect depression. Conventional studies estimate the presence or severity of depression. However, an estimation of symptoms is a necessary technique not only to treat depression, but also to relieve patients' distress. Hence, we studied a method for clustering symptoms from HAM-D scores of depressed patients and by estimating patients in differ…

  • Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach

    Open Access•Masakazu Higuchi, Mitsuteru Nakamura et al.•ARTICLE•International Journal of…•2022

    In general, it is common knowledge that people's feelings are reflected in their voice and facial expressions. This research work focuses on developing techniques for diagnosing depression based on acoustic properties of the voice. In this study, we developed a composite index of vocal acoustic properties that can be used for depression detection. Voice recordings were collected from patients undergoing outpatient treatment for major depressive d…

  • Relationship between Psychological Stress Determined by Voice Analysis and Periodontal Status: A Cohort Study

    Open Access•Takayuki Maruyama, Daisuke Ekuni et al.•ARTICLE•International Journal of…•2022

    In modern society, evaluation and management of psychological stress may be important for the prevention of periodontal disease. The purpose of this study was to examine the relationship between psychological stress (vitality and mental activity) evaluated by Mind Monitoring System (MIMOSYS) and periodontal status. Forty students of Okayama University underwent the oral examination and self-reported questionnaire on the first day (baseline) and t…

  • Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls

    Open Access•Shuji Shinohara, Mitsuteru Nakamura et al.•ARTICLE•International Journal of…•2021

    A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33, p p = 0.0085, area under the curve of the receiver operating characteristic curve = 0.76)

No prominent works on this page.

  • Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls

    Open Access•Shuji Shinohara, Mitsuteru Nakamura et al.•ARTICLE•International Journal of…•2021

    A significant negative correlation existed between the vitality extracted from the voices and HAM-D scores (r = -0.33, p p = 0.0085, area under the curve of the receiver operating characteristic curve = 0.76)

  • Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach

    Open Access•Masakazu Higuchi, Mitsuteru Nakamura et al.•ARTICLE•International Journal of…•2022

    In general, it is common knowledge that people's feelings are reflected in their voice and facial expressions. This research work focuses on developing techniques for diagnosing depression based on acoustic properties of the voice. In this study, we developed a composite index of vocal acoustic properties that can be used for depression detection. Voice recordings were collected from patients undergoing outpatient treatment for major depressive d…

  • Relationship between Psychological Stress Determined by Voice Analysis and Periodontal Status: A Cohort Study

    Open Access•Takayuki Maruyama, Daisuke Ekuni et al.•ARTICLE•International Journal of…•2022

    In modern society, evaluation and management of psychological stress may be important for the prevention of periodontal disease. The purpose of this study was to examine the relationship between psychological stress (vitality and mental activity) evaluated by Mind Monitoring System (MIMOSYS) and periodontal status. Forty students of Okayama University underwent the oral examination and self-reported questionnaire on the first day (baseline) and t…

  • Distinguish the Severity of Illness Associated with Novel Coronavirus (Covid-19) Infection via Sustained Vowel Speech Features

    Open Access•Yasuhiro Omiya, Daisuke Mizuguchi et al.•ARTICLE•International Journal of…•2023

    The authors are currently conducting research on methods to estimate psychiatric and neurological disorders from a voice by focusing on the features of speech. It is empirically known that numerous psychosomatic symptoms appear in voice biomarkers; in this study, we examined the effectiveness of distinguishing changes in the symptoms associated with novel coronavirus infection using speech features. Multiple speech features were extracted from th…

  • Estimating Depressive Symptom Class from Voice

    Open Access•Takeshi Takano, Daisuke Mizuguchi et al.•ARTICLE•International Journal of…•2023

    Voice-based depression detection methods have been studied worldwide as an objective and easy method to detect depression. Conventional studies estimate the presence or severity of depression. However, an estimation of symptoms is a necessary technique not only to treat depression, but also to relieve patients' distress. Hence, we studied a method for clustering symptoms from HAM-D scores of depressed patients and by estimating patients in differ…

Psychiatry (5 works) · Psychology (5 works) · Emotion and Mood Recognition (4 works) · Medicine (4 works) · Anxiety (3 works) · Audiology (3 works) · Clinical Psychology (3 works) · Clinical Psychology (3 works) · Depression (economics (3 works) · Mental Health Research Topics (3 works)

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