Affiliation: Keio University
- Reduction of noise from magnetoencephalography dataS Okawa
Department of Applied Physics and Physico Informatics, Faculty of Science and Technology, Keio University, 3 14 1 Hiyoshi Kohoku ku, Yokohama, Kanagawa, Japan
Med Biol Eng Comput 43:630-7. 2005..High SNR-independent components are obtained by the proposed method. Real MEG data analysis was also demonstrated. The proposed method extracted auditory evoked responses from unaveraged single-trial data...
- Estimation of the conduction velocity distribution of human sensory nerve fibersG Morita
Faculty of Science and Technology, Keio University, 3 14 1, Hiyoshi, Kohoku Ku, Yokohama, Kanagawa 223 8522, Japan
J Electromyogr Kinesiol 12:37-43. 2002..The reliability of this method was checked in normal subjects by recording a pair of CAPs elicited by stimulation of the median nerve at the wrist and the elbow...
- Integration-plot test for peri-stimulus time histograms in human motor unitsJ Ushiba
School of Fundamental Science and Technology, Graduate School of Keio University, Kanagawa, Japan
Med Biol Eng Comput 42:264-71. 2004..It was therefore confirmed experimentally that the present statistical test had higher sensitivity than that of the CUSUM proposed previously...
- Estimation of conduction velocity distribution by regularized-least-squares methodY X Tu
Department of Instrumentation Engineering, Faculty of Science and Technology, Keio University, Yokohama, Japan
IEEE Trans Biomed Eng 44:1102-6. 1997..The simulation results demonstrated that the improved technique maybe applied in clinical diagnosis because it yielded reliable and almost undistorted results even when the simulated data are severely contaminated by noise...
- Estimation of an unexpected-overlooking error by means of the single eye fixation related potential analysis with wavelet transform filterN Matsuo
R and D Center, Suzuki Motor Corporation, 2 1 Sakura namiki, Tsuzuki ku, 224 0046, Yokohama, Japan
Int J Psychophysiol 40:195-200. 2001..The unexpected-overlooking errors had a low amplitude compared to the mean of amplitude throughout the task. It was concluded that the amplitude of the lambda wave might reflect the attention level of a subject...