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Biomedical

BOOTH
01
Biomedical
Medical / Welfare
Simple detection of sleep apnea syndrome
by contactless measurement!
Professor MITSUKURA, Yasue
Department of System Design Engineering
Professor YASUI, Masato
Department of Pharmacology, Keio University School of Medicine
Professor FUKUNAGA, Koichi
Department of Pulmonary Medicine, Keio University School of Medicine
In this study, we propose a non-contact method to easily detect sleep apnea syndrome.
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02
Biomedical
Medical / Welfare
Heart Rate Detection by Contactless
Professor MITSUKURA, Yasue
Department of System Design Engineering
In this study, we introduce how to measure the heart rate by contactless.
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03
Biomedical
Medical / Welfare
Development of techniques for
quantifying various symptoms of mental disease
Professor SAKAKIBARA, Yasubumi
Department of Biosciences and Informatics
Professor MITSUKURA, Yasue
Department of System Design Engineering
Assistant Professor KISHIMOTO, Taishiro
Department of Neuropsychiatry, Keio University School of Medicine
In this study, biosignals were used to evaluate mental disease. It aims to make a simple biomarker by quantitatively evaluation (for example, signals of voice, brain waves, facial expressions, etc.).
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05
Biomedical
Medical / Welfare
Total Health Care
ProfessorOTSUKI, Tomoaki
Department of Information and Computer Science
We are working on the development of various technologies to realize total health care including monitoring and understanding of mental illness. We will introduce technologies for detecting biosignals such as respiration and heart beats using non-contact devices, for detecting abnormalities such as fall and fainting, and for estimating emotions from texts.
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06
Biomedical
Medical / Welfare
Innovative micro/nano system for
healthcare, medical, and
information communication technologies
ProfessorMIKI, Norihisa
Department of Mechanical Engineering
Candle-like Micro EEG electrodes for brain technology, human interface system for tactile and taste sensations, and artificial kidneys to drastically improve patients’ QOL will be introduced.
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