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Michitaka Yoshimura

Showing results (1-10 of 16) with videos related to

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Sleep|October 5, 2017
Two Days' Sleep Debt Causes Mood Decline During Resting State Via Diminished Amygdala-Prefrontal ConnectivityYuki Motomura, Ruri Katsunuma, Michitaka Yoshimura, et al.
Nature and Science of Sleep|March 24, 2017
Smartphone viewing distance and sleep: an experimental study utilizing motion capture technologyMichitaka Yoshimura, Momoko Kitazawa, Yasuhiro Maeda, et al.
Eye & Contact Lens|June 27, 2018
Utilization of Facial Image Analysis Technology for Blink Detection: A Validation StudyMomoko Kitazawa, Michitaka Yoshimura, Kuo-Ching Liang, et al.
Journal of Affective Disorders|May 7, 2019
Actigraphy for evaluation of mood disorders: A systematic review and meta-analysisYuuki Tazawa, Masataka Wada, Yasue Mitsukura, et al.
Chronobiology International|January 6, 2016
Protective effect of blue-light shield eyewear for adults against light pollution from self-luminous devices used at nightMasahiko Ayaki, Atsuhiko Hattori, Yusuke Maruyama, et al.
Psychiatry and Clinical Neurosciences|April 14, 2018
Associations between problematic Internet use and psychiatric symptoms among university students in JapanMomoko Kitazawa, Michitaka Yoshimura, Mayu Murata, et al.
Translational Vision Science & Technology|January 9, 2019
The Relationship of Dry Eye Disease with Depression and Anxiety: A Naturalistic Observational StudyMomoko Kitazawa, Chiaki Sakamoto, Michitaka Yoshimura, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Speech Quality Feature Analysis for Classification of Depression and Dementia PatientsBrian Sumali, Yasue Mitsukura, Kuo-Ching Liang, et al.
Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Sleep|October 5, 2017
Two Days' Sleep Debt Causes Mood Decline During Resting State Via Diminished Amygdala-Prefrontal ConnectivityYuki Motomura, Ruri Katsunuma, Michitaka Yoshimura, et al.
Nature and Science of Sleep|March 24, 2017
Smartphone viewing distance and sleep: an experimental study utilizing motion capture technologyMichitaka Yoshimura, Momoko Kitazawa, Yasuhiro Maeda, et al.
Eye & Contact Lens|June 27, 2018
Utilization of Facial Image Analysis Technology for Blink Detection: A Validation StudyMomoko Kitazawa, Michitaka Yoshimura, Kuo-Ching Liang, et al.
Journal of Affective Disorders|May 7, 2019
Actigraphy for evaluation of mood disorders: A systematic review and meta-analysisYuuki Tazawa, Masataka Wada, Yasue Mitsukura, et al.
Chronobiology International|January 6, 2016
Protective effect of blue-light shield eyewear for adults against light pollution from self-luminous devices used at nightMasahiko Ayaki, Atsuhiko Hattori, Yusuke Maruyama, et al.
Psychiatry and Clinical Neurosciences|April 14, 2018
Associations between problematic Internet use and psychiatric symptoms among university students in JapanMomoko Kitazawa, Michitaka Yoshimura, Mayu Murata, et al.
Translational Vision Science & Technology|January 9, 2019
The Relationship of Dry Eye Disease with Depression and Anxiety: A Naturalistic Observational StudyMomoko Kitazawa, Chiaki Sakamoto, Michitaka Yoshimura, et al.
Sensors (Basel, Switzerland)|July 2, 2020
Speech Quality Feature Analysis for Classification of Depression and Dementia PatientsBrian Sumali, Yasue Mitsukura, Kuo-Ching Liang, et al.
Plos One|September 11, 2020
Using speech recognition technology to investigate the association between timing-related speech features and depression severityMao Yamamoto, Akihiro Takamiya, Kyosuke Sawada, et al.
Comprehensive Psychiatry|March 8, 2020
Evaluating the severity of depressive symptoms using upper body motion captured by RGB-depth sensors and machine learning in a clinical interview setting: A preliminary studyToshiro Horigome, Brian Sumali, Momoko Kitazawa, et al.
Pageof 2