Evaluation of soft neurological signs in children with developmental disorder and elderly people by measurement of pronation and supination.


Keiji Iramina
Graduate School of Systems Life Sciences, Kyushu University, Fukuoka, Japan

Pronation and supination is the one of the soft neurological signs which shows the abnormality in children with developmental disorders such as ADHD or autistic syndrome. We developed a portable system to evaluate pronosupination by wireless acceleration and angular velocity sensors. In order to evaluate the difference between typically developing children and children with ADHD, we measured pronation and supination of typically developing children and children with ADHD. Accuracy, cooperativeness and stability were investigated to analyze the pronation and supination. We obtained the reference curve of the neuromotor development of children. Our results suggested that the pronation and supination function in children with ADHD has a tendency to lag behind that of typically developing children by several years. We also investigated the feature of elderly people. From these results, our system has a possibility to objectively evaluate the neurodevelopmental delay of children with ADHD and neuromotor dysfunction of elderly people.

Keiji Iramina received the B.E. degree in Electronics Engineering in 1986 and the M.E. degree in Electronics Engineering 1988 from Kyushu University. He received the Dr. of Engineering for his studies on biomagnetism in 1991 from Kyushu University, Japan. He was a research associate at Kyushu University 1991. He became an associate professor at the faculty of Engineering, Kyushu University in 1994. He joined the Research Institute of Biomedical Engineering, University of Tokyo in 1996 as an associate professor. He was a professor of Graduate School of Information Science and Electrical Engineering, Kyushu University in 2004.
He is currently a professor of Graduate School of Systems Life Sciences and also Graduate School of Information Science and Electrical Engineering.
His main research interest lies on biomedical engineering and functional imaging of the brain by EEG(electroencephalogram), NIRS(Near-Infrared Spectroscopy) and TMS
 (Transcranial Magnetic Stimulation). He is also interested in the application of brain science to education and welfare.

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