Novel Screening Tool Using Non-linguistic Voice Features Derived from Simple Phrases to Detect Mild Cognitive Impairment and Dementia., Mizuguchi D, Yamamoto T, Omiya Y, Endo K, Tano K, Oya M, Takano S. JAR Life. 2023 Aug 23;12:72-76. doi: 10.14283/jarlife.2023.12. PMID: 37637273; PMCID: PMC10450207.
Discrimination of mild cognitive impairment based on involuntary changes caused in voice elements, Higuchi M Nakamura M, Omiya Y, Tokuno S, Front Neurol. 2023 Jun 21;14:1197840. doi: 10.3389/fneur.2023.1197840..
Estimating Depressive Symptom Class from Voice. Takano T, Mizuguchi D, Omiya Y, Higuchi M, Nakamura M, Shinohara S, Mitsuyoshi S, Saito T, Yoshino A, Toda H, Tokuno S. International Journal of Environmental Research and Public Health. 2023; 20(5):3965. https://doi.org/10.3390/ijerph20053965
Distinguish the Severity of Illness Associated with Novel Coronavirus (COVID-19) Infection via Sustained Vowel Speech Features. Omiya Y, Mizuguchi D, Tokuno S. International Journal of Environmental Research and Public Health. 2023; 20(4):3415. https://doi.org/10.3390/ijerph20043415
Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach. Higuchi M, Nakamura M, Shinohara S, Omiya Y, Takano T, Mizuguchi D, Sonota N, Toda H, Saito T, So M, Takayama E, Terashi H, Mitsuyoshi S, Tokuno S. Int. J. Environ. Res. Public Health 2022, 19(18), 11397; https://doi.org/10.3390/ijerph191811397
Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances. Higuchi M, Sonota N, Nakamura M, Miyazaki K, Shinohara S, Omiya Y, Takano T, Mitsuyoshi S, Tokuno S. Sensors, 22(1), 67. https://doi.org/10.3390/s22010067
Evaluation of emotional arousal level and depression severity using voice-derived sound pressure change acceleration. Shinohara S, Toda H, Nakamura M, Omiya Y, Higuchi M, Takano T, Saito T, Tanichi M, Boku S, Mitsuyoshi S, So M, Yoshino A, Tokuno S.. Sci Rep 11, 13615 (2021). https://doi.org/10.1038/s41598-021-92982-7
Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls. Shinohara S, Nakamura M, Omiya Y, Higuchi M, Hagiwara N, Mitsuyoshi S, Toda H, Saito T, Tanichi M, Yoshino A, Tokuno S. Int. J. Environ. Res. Public Health2021, 18(10), 5435
Social Impact Analysis by Smart Phone Voice. Tokuno S, Omiya Y, Takano T, Higuchi M, Nakamura M, Shinohara S, Mitsuyoshi S, ChungUT/Tei U. ESMSJ (Econophysics, Sociophysics & otherMultidisciplinary Sciences Journal) 9 (1) 2020, pp. 23-28
How much of an impact did COVID-19 self-isolation measures have on mental health?, Omiya Y, & Tokuno S, Asian Journal of Psychiatry, 54, 102445. (2020)
Effects of long- and short-term experiences on stress during identification works of dead bodies: Rapid stress level measurement using voice, Higuchi M, Yamamoto I, Omiya Y, Nakamura M, Shinohara S, Takano T, Nakagawa K, Ohira H, Yamada Y, Tokuno S. Am J Disaster Med, 2020 Fall, 15(4): pp. 251-259. doi: 10.5055/ajdm.2020.0374. (2020.10)
Evaluation of the severity of major depression using a voice index for emotional arousal, Shinohara S, Toda H, Nakamura M, Omiya Y, Higuchi M, Takano T, Saito T, Tanichi M, Boku S, Mitsuyoshi S, So M, Yoshino A, Tokuno S, Sensors (Switzerland), 2020, 20(18), pp. 1-14, 5041 (2020.9)
Effectiveness of a Voice-Based Mental Health Evaluation System for Mobile Devices: Prospective Study. Higuchi M, Nakamura M, Shinohara S, Omiya Y, Takano T, Mitsuyoshi S, Tokuno S, JMIR Form Res, 4(7), e16455 (2020.7)
Difference in Speech Analysis Results by Coding, Omiya Y, Hagiwara N, Takano T, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Toda H, Tokuno S, Advances in Science, Technology and Engineering Systems Journal Vol. 3, No. 5, pp. 488-491 (2018.10)
Study on Indicators for Depression in the Elderly Using Voice and Attribute Information. Higuchi M, Shinohara S, Nakamura M, Omiya Y, Hagiwara N, Takano T, Mitsuyoshi S, Tokuno S, Communications in Computer and Information Science, 869, pp. 127-146, (2018.6)
Accuracy Evaluation for Mental Health Indicator Based on Vocal Analysis in Noisy Environments. Higuchi M, Shinohara S, Nakamura M, Omiya Y, Hagiwara N, Takano T, Mitsuyoshi S, Tokuno S, Journal of Information and Communication Engineering (JICE), 4(1): pp. 217-222,(2018.04)
Classification of Bipolar Disorder, Major Depressive Disorder and Healthy State Using Voice, Higuchi M, Tokuno S, Nakamura M, Shinohara S, Mitsuyoshi S, Omiya Y, Hagiwara N, Takano T, Toda H, Saito T, Terashi H, Mitoma H, Asian J Pharm Clin Res, Vol 11, Special issue 3, pp. 89-93, 2018
Case Studies of Utilization of the Mind Monitoring System (MIMOSYS)Using Voice and Its Future Prospects. Shinohara S, Omiya Y, Hagiwara N, Nakamura M, Higuchi M, Kirita T, Takano T, Mitsuyoshi S, Tokuno S. ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal) 7 (1) 2017, pp. 7-12
Measurement of Stress Level to Prevent Post-Traumatic Stress Disorder Developed by Identifying Dead Bodies. Higuchi M, Yamamoto I, Omiya Y, Shinohara S, Nakamura M, Hagiwara H, Takano T, Mitsuyoshi S, Tokuno S. ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal) 7 (1) 2017, pp. 13-18
Multilingual evaluation of voice disability index using pitch rate. Shinohara S, Omiya Y, Nakamura M, Hagiwara N, Higuchi M, Mitsuyoshi S, Tokuno S. Advances in Science Technology and Engineering Systems Journal Vol. 2, No. 3, 765 – 772, (2017)
Validity of Mind Monitoring System as a Mental Health Indicator using Voice. Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Yasunaga H, Tokuno S. Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 338-344 (2017).
Mental status assessment of disaster relief personnel by vocal affect display based on voice emotion recognition. Mitsuyoshi S, Nakamura M, Omiya Y, Shinohara S, Hagiwara N, Tokuno S. (2017). Disaster and Military Medicine, 3(1), 4.
Validity of a voice-based evaluation method for effectiveness of behavioural therapy, Shinohara S, Mitsuyoshi S, Nakamura M, Omiya Y, Tsumatori G, Tokuno S, Pervasive Computing Paradigms for Mental Health. Springer International Publishing, 2015, pp. 43-51.
Proceedings
Discrimination of Bipolar Disorders Using Voice, Higuchi M, Nakamura M, Shinohara S, Omiya Y, Takano T, Toda H, Saito T, Yoshino A, Mitsuyoshi S, Tokuno S, Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol.288. Springer, pp.199-207. (2019.7)
An attempt to estimate depressive status from voice, Omiya Y, Takano T, Uraguchi T, Nakamura M, Higuchi M, Shinohara S, Mitsuyoshi S, So M, Tokuno S, Pervasive Computing Paradigms for Mental Health. MindCare 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol.288.Springer, pp.168-175. (2019.7)
The influence of the voice acquisition method to the mental health state estimation based on vocal analysis, Omiya Y, Hagiwara N, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Takayama E, Tokuno S. IFMBE Proceedings IUPESM World Congress on Medical Physicsand Biomedical Engineering 2018, vol.68/2, 897-900, (2018.6)
Feasibility study of evaluation of therapeutic effect for sleepapnea syndrome using mental healthiness evaluated from voice, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Higuchi M, Hagiwara N, Takano T, Danno H, Tanaka S, Tokuno S, IFMBE Proceedings IUPESM World Congress on Medical Physics and Biomedical Engineering 2018,vol 68/2, 327-330, (2018.6)
Classification of Bipolar Disorder, Major Depressive Disorder and Healthy State Using Voice, Higuchi M, Tokuno S, Nakamura M, Shinohara S, Mitsuyoshi S, Omiya Y, Hagiwara N, Takano T, Toda H, Saito T, Terashi H, Mitoma H, Proc. 8th International Conference on Biomedical Engineering and Technology (ICBET 2018), T0017 2018.4.
Difference in Voice Analysis Result by Pre and Post Processing of Telephone Line. Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Higuchi M., Mitsuyoshi S, Tokuno S; Conf. Proc IEEE Eng. Med Biol. Soc.2017 Jul;2017:242-245.
Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology. Higuchi, M., Shinohara, S., Nakamura, M., Omiya, Y., Hagiwara, N., Mitsuyoshi, S. and Tokuno, S. 3rdInternational Conference on Information and Communication Technologies for Ageing Well and e-Health: 70-77, 2017
Voice disability index using pitch rate. Shinohara S, Nakamura M, Mitsuyoshi S, Tokuno S, Omiya Y, Hagiwara N. (2016). Biomedical Engineering and Sciences (IECBES), 2016 IEEE EMBS Conference on. IEEE, 2016. p. 557-560.
Validity of the Mind Monitoring System as a Mental Health Indicator, Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Yasunaga H, Mitsuyoshi S, Tokuno S. 16th International Conference on Bio Informatics and Bio Engineering (IEEE BIBE2016), 2016. 262-265.
Correlation between self-administered psychological test and emotion measured by voice analysis, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Takagi H, Ushiwatari A, Tokuno S, International Conference on Information Science and Management Engineering1(ICISME2015), 2015. 290-294
Presentations
Influence of sample rates on major depression measure using a voice-derived index (Centripetal Force), Mizuguchi D, Omiya Y, Takano T, Nakamura M, Higuchi M, Shinohara S, So M, Tokuno S, The 44th International Engineering in Medicine and Biology Conference, (EMBC 2022) (Glasgow), 2022.7.11-15
Influence of sample rates on major depression voice index (MDVI), Takano T, Mizuguchi D, Omiya Y, Nakamura M, Higuchi M, Shinohara S, So M, Tokuno S, The 44th International Engineering in Medicine and Biology Conference, (EMBC 2022) (Glasgow), 2022.7.11-15
Pilot study to estimate depressive status based on vocal analysis, Omiya Y, Takano T, Mizuguchi D, Nakamura M, Higuchi M, Shinohara S, So M, Tokuno S, The 44th International Engineering in Medicine and Biology Conference, (EMBC 2022) (Glasgow), 2022.7.11-15
Degree of temporal change in vocal spectral profile during Stroop test is affected by mild cognitive impairment (ストループ課題中の音声スペクトル分布の時間変化は軽度認知障害の影響を反映する). Nakamura M, Higuchi M, Omiya Y, Shinohara S, Takano T, Mizuguchi D, Mitsuyoshi S, Tokuno S. 第45回日本神経科学大会NEURO2022, 2022.06.30-07.03
Study of auto-detecting mild cognitive impairment using pauses in speeches during letter fluency tasks, Takano T, Omiya Y, Endo K, Oya M, Tano K, Fukuda Y, Matsumoto M, Takano S, Tokuno S, IUPESM World Congress on Medical Physics and Biomedical Engineering 2022 (IUPESM 2022), (Singapore), 2022.6.12-17
Pilot study to assess cognitive decline based on vocal analysis, Omiya Y, Takano T, Endo K, Namiki Y, Numata M, Tokuno S, IUPESM World Congress on Medical Physics and Biomedical Engineering 2022 (IUPESM 2022), (Singapore), 2022.6.12-17
Pilot Study to Detect Mild Cognitive Impairment During Long Vowel Utterance, Omiya Y, Takano T, Endo K, Oya M, Tano K, Fukuda Y, Matsumoto M, Takano S, Tokuno S, The 16th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD 2022) (Virtual), 2022.3.15-20
Simple Voice Biomarker During Spontaneous Speech for Detecting Mild Cognitive Impairment. Takano T, Omiya Y, Endo K, Oya M, Tano K, Fukuda Y, Matsumoto M, Takano S, Tokuno S, The 16th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD 2022) (Virtual), 2022.3.15-20
Study on Detection of Dementia by Dual Tasking. Higuchi M, Nakamura M, Omiya Y, Tokuno S, The 16th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD 2022) (Virtual), 2022.3.15-20
Detection of Mild Cognitive Impairment Using Difference of Voice Features Between Conditions. Nakamura M, Higuchi M, Omiya Y, Takano T, Shinohara T, Mitsuyoshi S, Tokuno S, The 16th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD 2022) (Virtual), 2022.3.15-20
A Pilot Study to Distinguish Between Healthy Participant and Patient with Alzheimer’s Disease and Parkinson’s Disease Based on Vocal Analysis, Omiya Y, Takano T, Uraguchi T, Nakamura M, Higuchi M, Shinohara S, Mitsuyoshi S, Ishida M, Kumamoto Y, Tokuno S, Advances in Alzheimer’s and Parkinson’s Therapies (AAT-AD/PD2020) (Virtual), 2020.4.2-5
Correlation Between Driving Skills, Cognitive Function, and Speech Speed ㏌ Elderly Drivers, Takano T, Omiya Y, Nakamura M, Higuchi M, Shinohara S, Mitsuyoshi S, Takemura J, Okazaki T, Tokuno S, Advances in Alzheimer’s and Parkinson’s Therapies (AAT-AD/PD2020) (Virtual), 2020.4.2-5
A Study and Evaluation Using Voice to Gauge the Driving Ability of the Elderly, Higuchi M, Nakamura M, Takano T, Okazaki T, Takemura J, Omiya Y, Shinohara S, Mitsuyoshi S, Tokuno S, Advances in Alzheimer’s and Parkinson’s Therapies (AAT-AD/PD2020) (Virtual),2020.4.2-5
Pilot study of distinguish between dementia with Lewy bodies and healthy subjects using voice, Omiya Y, Uraguchi T, Takano T, Nakamura M, Shinohara S, Higuchi M, Suzuki K, Manome N, Ishida M, Kumamoto Y, Mitsuyoshi S, Tokuno S, Neuroscience 2019 (Chicago)2019.10.19-23
Identification of Parkinson’s Disease from Scarce Data Using Learning Vector Quantization, Manome N, Shinohara S, Suzuki K, Omiya Y, Higuchi M, Mitsuyoshi S, The 41st International Engineering in Medicine and Biology Conference, (EMBC 2019) (Berlin), 2019.7.23-27
Parkinson’s Disease Detection Based on LightGBM, Suzuki K, Shinohara S, Higuchi M, Manome N, Omiya Y, Mitsuyoshi S, The 41stInternational Engineering in Medicine and Biology Conference,(EMBC 2019) (Berlin), 2019.7.23-27
Effectiveness of Voice Biomarker in Detecting Bipolar Disorder, Higuchi M, Nakamura M, Shinohara S, Omiya Y, Takano T, Suzuki K, Manome N, Toda H, Saito T, Yoshino A, Mitsuyoshi S, Tokuno S, The41st International Engineering in Medicine and Biology Conference,(EMBC 2019) (Berlin), 2019.7.23-27
Relation between Stress Estimated by Voice Analysis and BloodInterleukin-1 Receptor Antagonist in High-Intensity Training, Nakamura M, Suzuki G, Shinohara S, Omiya Y, Higuchi M, Takano T, Mitsuyoshi S, Kobayashi N, Tokuno S, The 41st International Engineering in Medicine and Biology Conference, (EMBC 2019)(Berlin), 2019.7.23-27
An experiment to distinguish Major Depression and Dementia with LewyBodies from healthy participants using voice, Uraguchi T, Omiya Y, Shinohara S, Suzuki K, Manome M, Kumamoto Y, Tokuno S, The 41stInternational Engineering in Medicine and Biology Conference,(EMBC 2019) (Berlin), 2019.7.23-27
Detecting persons with major depression by a voice index based on the relationship between Hurst exponent and zero crossing rate, Shinohara S, Toda H, Nakamura M, Omiya Y, Higuchi M, Takano T, Manome N, Suzuki K, Uraguchi T, Saito T, Tanichi M, Mitsuyoshi S, Yoshino A, Tokuno S, The 41st International Engineering in Medicine and Biology Conference, (EMBC 2019) (Berlin), 2019.7.23-27
An experiment to detect Laryngomalacia using baby’s crying voice, Omiya Y, Nakamura S, Shinohara S, Higuchi M, Suzuki K, Manome N, Mitsuyoshi S, Yamamoto I, Mukai S, Tokuno S, The 41st International Engineering in Medicine and Biology Conference, (EMBC 2019)(Berlin), 2019.7.23-27
Evaluation of smart devices in IoT segment by using medical healthcare technology “MIMOSYS”, Uraguchi T, Omiya Y, Takano T, Amemiya Y, Nakamura M, Takayama E, Tokuno S, Deguchi H, The12thAsian Control Conference (ASCC2019) (Kitakyushu), 2019.6.9-12.
Voice-Based Evaluation of Stress by Body Identification, Higuchi M,Yamamoto I, Omiya Y, Nakamura M, Shinohara S, Takano T, Nakagawa K, Ohira H, Yamada Y, Hasegawa I, Mitsuyoshi S, Tokuno S, 26thInternational “Stress and Behavior” Neuroscience and BiopsychiatryConference (ISBS 2019) (St. Petersburg), 2019.5.16-19
Evaluation of Effect of Light Labor on Retired people Using VoiceAnalysis, Nakamura M, Ikeuchi M, Oroguchi T, Yamanaka K, Amagi H,Shinohara S, Omiya Y, Higuchi M, Takano T, Mitsuyoshi S, Tokuno S,26th International “Stress and Behavior” Neuroscience andBiopsychiatry Conference (ISBS 2019) (St. Petersburg), 2019.5.16-19
Pilot study to detect Parkinson’s disease based on vocal analysis, Omiya Y, Nakamura M, Shinohara S, Higuchi M, Takano T, Mitsuyoshi S, Terashi H, Tokuno S, 26th International “Stress and Behavior “Neuroscience and Biopsychiatry Conference (ISBS 2019) (St.Petersburg), 2019.5.16-19
Discrimination of Bipolar Disorders Using Voice, Higuchi M, Nakamura M, Shinohara S, Omiya Y, Takano T, Toda H, Saito T, Yoshino A, Mitsuyoshi S, Tokuno S, 9th EAI International Conference on Pervasive Computing Paradigms for Mental Health (MindCare 2019)(Buenos Aires), 2019.4.23-24
An attempt to estimate depressive status from voice, Omiya Y, Takano T, Uraguchi T, Nakamura M, Higuchi M, Shinohara S, Mitsuyoshi S, So M, Tokuno S, 9th EAI International Conference on Pervasive Computing Paradigms for Mental Health (MindCare 2019) (Buenos Aires),2019.4.23-24
Voice Analysis Opens the Door to the Future Health Society, Nakamura M, Higuchi M, Shinohara S, Omiya Y, Takano T, Mitsuyoshi S, Tokuno S, Nature創刊150周年記念シンポジウム 日本の科学の未来持続可能な開発目標の達成に向けたビジョン（東京）, 2019.4.23
Proposal of a voice disorder index for screening patients with Parkinson’s disease(PWPD), Shinohara S, Terashi H, Omiya Y, Nakamura M, Higuchi M, Takano T, Uraguchi T, Mitsuyoshi S, Tokuno S, The 14th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD2019) (Lisbon), 2019.3.26-31
Feasibility Study for Estimation of Score of The Movement Disorder Society Unified Parkinson’s Disease Rating Scale Part III Using Voice, Nakamura M, Shinohara S, Higuchi M, Omiya Y, Takano T, Mitsuyoshi S, Terashi H, Mitoma H, Tokuno S, The 14th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD2019)(Lisbon), 2019.3.26-31
Pilot study to detect Alzheimer’s disease based on vocal analysis, Omiya Y, Nakamura M, Shinohara S, Higuchi M, Takano T, Uraguchi T, Mitsuyoshi S, Ishida M, Sanjo S, Tokuno S, The 14th International Conference on Alzheimer’s and Parkinson’s Diseases (AD/PD2019)(Lisbon), 2019.3.26-31
Estimating depressive status from voice, Omiya Y, Takano T, Uraguchi T, Higuchi M, Shinohara S, Nakamura M, Mitsuyoshi S, So M, Tokuno S, The 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2018) (Madrid), 2018.12.3-6
Feasibility Study for Estimation of Depression Severity using Voice Analysis, Nakamura M, Shinohara S, Omiya Y, Higuchi M, Mitsuyoshi S, Takano T, Toda H, Saito T, Tanichi M, Yoshino A, Tokuno S, The 2018IEEE International Conference on Bioinformatics and Biomedicine(BIBM2018) (Madrid), 2018.12.3-6
Change in sound features of ultrasonic vocalizations by neonatalrats separated from their mother depending on condition of the neonatal rats, Nakamura M, Tanichi M, Toda H, Saito T, Mitsuyoshi S, Shinohara S, Omiya Y, Higuchi M, Shimizu K, Yoshino A, Tokuno S, Neuroscience 2018 (SanDiego) 2018.11.3-7
Pilot study to detect Dementia based on vocal analysis, Omiya Y, Takano T, Uraguchi T, Nakamura M, Shinohara S, Higuchi M, Mitsuyoshi S, Tokuno S, Neuroscience 2018 (SanDiego) 2018.11.3-7
Difference in sound features of Ultrasonic Vocalizations by neonatalrats separated from their mother in response to surroundingenvironment, Nakamura M, Tanichi M, Toda H, Saito T, Mitsuyoshi S, Shinohara S, Omiya Y, Higuchi M, Shimizu K, Yoshino A, TokunoS,第41回日本神経科学大会（神戸）, 2018.7/26-29.
Voice-Based Emotion Model for Identifying Major Depression, Higuchi M, Shinohara S, Nakamura M, Omiya Y, Hagiwara N, Takano T, Toda H,Saito T, Terashi H, Mitoma H, Mitsuyoshi S, Tokuno S, EMBC2018,(Hawaii), 2018.7.17-21.
Evaluation of Mind Monitoring System (MIMOSYS) by Subjects with Romanian and Russian As Their Native Language, Uraguchi T, Shinohara S, Negrea D, Țaicu M, Săvoiu G, Omiya Y, Nakamura M, Higuchi M, Takano T, Hagiwara N, Mitsuyoshi S, Tokuno S, EMBC2018, (Hawaii),2018.7.17-21.
An experiment to distinguish between Parkinson’s disease and major depression using voice, Omiya y, Hagiwara N, Takano T, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Takayama E, Terashi H, Mitoma H, Toda H, Saito T, Tokuno S, EMBC2018, (Hawaii), 2018.7.17-21.
Feasibility Study on Screening for Dementia Using Voice Analysis, Nakamura M, Shinohara S, Omiya Y, Higuchi M, Hagiwara N, Takano T, Mitsuyoshi S, Nozaki Y, Yoshitake M, Sanjo N, Tokuno S, EMBC2018,(Hawaii), 2018.7.17-21.
Evaluation of Suicidal Ideation Based on the Pitch Detection Rate, Shinohara S, Negrea D, Țaicu M, Săvoiu G, Omiya Y, Nakamura M, Higuchi M, Takano T, Hagiwara N, Mitsuyoshi S, Tokuno S, EMBC2018,(Hawaii), 2018.7.17-21.
The influence of the voice acquisition method to the mental health state estimation based on vocal analysis, Omiya Y, Hagiwara N, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Takayama E, Tokuno S. IUPESM World Congress on Medical Physics and Biomedical Engineering 2018 (IUPESM 2018), (Praha), 2018.6.3-8.
Feasibility study of evaluation of therapeutic effect for sleep apnea syndrome using mental healthiness evaluated from voice, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Higuchi M, Hagiwara N, Takano T, Danno H, Tanaka S, Tokuno S, IUPESM World Congress on Medical Physics and Biomedical Engineering 2018 (IUPESM 2018),(Praha), 2018.6.3-8.
Classification of Bipolar Disorder, Major Depressive Disorder And Healthy State Using Voice, Higuchi M, Tokuno S, Nakamura M, Shinohara S, Mitsuyoshi S, Omiya Y, Hagiwara N, Takano T, Toda H, Saito T, Terashi H, Mitoma H, 8th International Conference on Biomedical Engineering and Technology (ICBET 2018), (Bali)2018.4.23-25.
An Effect of Noise on Mental Health Indicator using Voice, Higuchi M, Shinohara S, Nakamura M, Mitsuyoshi M, Omiya Y, Hagiwara N, Takano T, Tokuno S. International Conference on IntelligentInformatics and BioMedical Sciences (ICIIBMS) 2017,(Okinawa).2017.11.24-26
Difference in Speech Analysis Results by Compression. Omiya Y, Hagiwara N, Takano T, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Tokuno S. International Conference on Intelligent Informatics and BioMedical Sciences (ICIIBMS) 2017, (Okinawa).2017.11.24-26
Major depression index derived from the relationship between hurst exponent and zero crossing rate in voice. Shinohara S, Omiya Y, Nakamura M, Higuchi M, Hagiwara N, Takano T, Toda H , Saito T , Tanichi M , Yoshino A, Mitsuyoshi S, Tokuno S, Neuroscience 2017(Washington) 2017.11.11-15
Stress evaluation using voice in dental identification work of dead body. Omiya Y, Shinohara S, Higuchi M, Nakamura M, Mitsuyoshi S, Yamamoto I, Tokuno S, Neuroscience 2017 (Washington) 2017.11.11-15
Case Studies of Utilization of the Mind Monitoring System (MIMOSYS)Using Voice and Its Future Prospects. Shinohara S, Omiya Y, HagiwaraN, Nakamura M, Higuchi M, Kirita T, Takano T, Mitsuyoshi S,Tokuno S. International Workshop EDEN (Exploratory Domains ofEconophysics News) – IX (Pitesity), 2017.10.14
Measurement of Stress Level to Prevent Post-Traumatic StressDisorder Developed by Identifying Dead Bodies. Higuchi M, YamamotoI, Omiya Y, Shinohara S, Nakamura M, Hagiwara H, Takano T,Mitsuyoshi S, Tokuno S. International Workshop EDEN (ExploratoryDomains of Econophysics News) – IX (Pitesity), 2017.10.14
Feasibility study of classifying major depressive disorder and bipolar disorders using voice features, M Nakamura, Y Omiya, S Shinohara, S Mitsuyoshi, M Higuchi, N Hagiwara, T Takano, H Toda, T Saito, M Tanichi, A Yoshino, S Tokuno, XVII World Congress of Psychiatry (Berlin) 2017.10.8-12.
Difference in Voice Analysis Result by Pre- and Post- Processing of Telephone Line. Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Tokuno S; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC’17) (Jeju), 2017.7.11-15
Algorithm to distinguish between articulatory disorder, depressionand Parkinson’s disease by voice. Omiya Y, Hagiwara N; 39th AnnualInternational Conference of the IEEE Engineering in Medicine andBiology Society (EMBC’17) (Jeju), 2017.7.11-15
Relation between Severity of Sleep Apnea Syndrome and MentalHealthiness Evaluated from Voice. Nakamura M, Shinohara S, Omiya Y, Hagiwara N, Higuchi M, Mitsuyoshi S, Danno H, Tanaka S, Tokuno S;39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) (Jeju), 2017.7.11-15
Study on Depression Evaluation Indicator in the Elderly Using Sensibility Technology, Higuchi M, Shinohara S, Nakamura M, Omiya 2,Hagiwara N, Mitsuyoshi S, Tokuno S, 3rd The International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AWE 2017) (Porto), 2017,04,29
Voice Disability Index Using Pitch Rate, Shinohara S, Omiya Y, Nakamura M, Hagiwara N, Mitsuyoshi S, Tokuno S, IEEE EMBS Conference of Biomedical, Engineering and Sciences (IECBES 2016) (Kuala Lumpur)2016.12.4-8
Psychological impact of Kumamoto earthquake by voice analysis using a smart phone application, Tokuno S, Omiya Y, Shinohara S, Nakamura M, Hagiwara N, Mitsuyoshi S; Neuroscience 2016 (San Diego)2016.11.12-16
Alternation of fundamental frequency of ultrasonic vocalizations by neonatal rats in response to distance from their mother, Nakamura M, Tanichi M, Toda H, Mitsuyoshi S. Shinohara S, Omiya Y, Shimizu K, Yoshino A, Tokuno S. Neuroscience 2016 (San Diego) 2016.11.12-16
Development of Mind Monitoring System using Call Voice, Omiya Y, Hagiwara N, Shinohara S, Nakamura M, Mitsuyoshi S, Tokuno S. Neuroscience 2016 (San Diego) 2016.11.12-16
Validity of the Mind Monitoring System as a Mental HealthIndicator, Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Yasunaga H,Mitsuyoshi S, Tokuno S. Bioinformatics and Bioengineering (BIBE),2016 IEEE 16th International Conference (Taitung), 2016.10.31-11.2
Development of the Mind Monitoring System (MIMOSYS) which can beable to monitor mental health status using call voice with asmartphone: Joint Symposium with IT Companies, Omiya Y, 7th AsiaPacific Regional Conference of the International Association forSuicide Prevention (Tokyo), 2016.5-18-21
Correlation between self-administered psychological test and emotion measured by voice analysis, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Takagi H, Ushiwatari A, Tokuno S, International Conference on Information Science and Management Engineering1(ICISME2015) (Phuket), 2015.12.20
Snoring-based screening for sleep apnea syndrome, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Oshima Y, Danno H, Yamakawa T, Tanaka S, Tokuno S, 生体医工学シンポジウム2015 (岡山)，2015.9.24-25
Validity of a voice-based evaluation method for effectiveness of behavioural therapy, Shinohara S, Mitsuyoshi S, Nakamura M, Omiya Y, Tsumatori G, Tokuno S. 5th International Symposium on Pervasive Computing Paradigms for Mental Health; MINDCARE 2015 (Milan),2015.9.23-25
