 |
| Department of Brain Science and Engineering |
|
| Specially-Promoted Research, Brain-Like Computers, Research Professor |
| Takeshi YAMAKAWA, Dr. Eng.
|
[E-MAIL] 
[URL] http://www.brain.kyutech.ac.jp/~yamakawa
[TEL] +81-93-695-6123 |
| |
I retired, at the age limit, from Kyushu Institute of Technology in March, 2009 and now working as a professor emeritus in the same office to promote the Specially Promoted Research (Project No.20001008) granted by MEXT of Japan since 2008 to 2012.
My research interests lie on two research subjects. The one is "Identification of Epileptogenic Focus by Employing Softcomputing and Establishment of Minimally Invasive and Definitive Surgery," (CADET project) and the other one is MEMS devices for separation, extraction, identification and handling of biological cells and other inorganic powder employing dielectrophoresis (DEP project).
(1)CADET project
Epilepsy is a chronic brain disorder characterized by recurrent seizures. The seizure of drug-resistive epilepsy can be shot down only by the surgical removal of the region which is so called "epileptogenic focus". However, the accuracy to detect the focus is not good (order of cm). Thus the extirpation of focus with significant margin causes the removal of healthy brain and leads to the severe aftereffects such as restricted vision, motor dysfunction, disorder of memory, and so on. To cope with this problem, we should develop the technology of detecting the epileptogenic focus, and necrotizing the epileptogenic focus excluding healthy brain by rapid colliquative necrosis with flash freezing in small volume or cauterizing small volume by focused laser beam.
(2)DEP project
While the electrophoresis is the movement of ions in the electric field, the dielectrophoresis is the movement of neutral or charged particles or biological cells in accordance with the gradient and intensity of electric field. MEMS technology facilitates small devices in which biological cells or micro particles of inorganic materials can be separated, extracted, identified and handled. This technology will be employed to a clinical laboratory automation system of high reliability and efficiency leading to the intelligent diagnosis.
|
|
