Medical engineering is an interdisciplinary field that conducts research and education concerned with a wide range of problems that are directly related to human beings and medicine using engineering methods. In this department, we study methods for solving these problems using technologies and knowledge from the electrical and mechanical engineering disciplines. Towards that end, in addition to engineering, we also study fundamental medical knowledge from areas such as physiology, internal medicine, and surgery, starting from the basics. With this knowledge and technology, we acquire basic skills that will be of use both for healthy people and for those who have some disease or medical condition.
This field consists of technologies that adopt mechanical methods, such as those used in intraperitoneal surgery and home care medicine to solve a wide range of problems in clinical and home care medicine. Research subjects in this area include surgical robots, remote operating surgical systems, artificial organs, and medical apparatus for the elderly and disabled.
This field supports medical care by unobtrusively monitoring the state of patients during their daily lives and providing concrete numeric values for stress and fatigue that were difficult to express in numbers. Research subjects in this area encompass health monitoring, ubiquitous health care, electrophysiological functions, and biometric authentication.
This field utilizes sensing technologies down to the molecular level from sensation receptors such as those used for smell and touch to establish interface structures between living organisms and equipment. Research subjects in this area include biosensors (taste, smell, DNA sequences), real 3D audio systems, virtual reality spaces, and artificial sensory organs.
This field transplants the higher order functional processing of the human brain, such as that used for diagnosis by medical imaging, to artificial algorithms and analyses complex systems such as living organism homeostasis. Research subjects in this area include medical image processing, neural networks, automatic diagnosis, and chaos analysis of living organisms.
Professor
KYOSO MasakiProfessor |
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KIRYU ShogoProfessor |
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WATADA MasayaProfessor |
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MORI AkiraProfessor |
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Associate Professor
SAKAGUCHI KatsuhisaAssociate Professor |
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MOMOZAWA AiAssociate Professor |
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Lecturer
KOBAYASHI ChihiroLecturer |
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