Yoshio Maniwa
Tottori University
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Publication
Featured researches published by Yoshio Maniwa.
workshop on self organizing maps | 2009
Heizo Tokutaka; Yoshio Maniwa; Eikou Gonda; Masashi Yamamoto; Toshiyuki Kakihara; Masahumi Kurata; Kikuo Fujimura; Li Shigang; Masaaki Ohkita
Among the popular lifestyle-related diseases are smoking, overweight and stress. A daily health check is important because there is no clear objective symptom for these diseases. We developed diagnotic software which shows the state of the blood vessels using a Basic SOM model, and performs synthetic plethysmogram analysis of 4 components using the map location (the state of the blood vessel, vascularity), looseness, pulse/minute, and pulse stability.
international conference on neural information processing | 2008
Peter K. Kihato; Heizo Tokutaka; Masaaki Ohkita; Kikuo Fujimura; Kazuhiko Kotani; Yoichi Kurozawa; Yoshio Maniwa
One of the threatening trends of health to the youth in recent years has been the metabolic syndrome. Many associate this syndrome to how big the fatty tissue around the belly is. Self-organizing maps (SOM) can be viewed as a visualization tool that projects high-dimensional dataset onto a two-dimensional plane making the complexity of the data be simplified and in the process disclose much of the hidden details for easy analyzes, clustering and visualization. This paper focuses on the analysis, visualization and prediction of the syndrome trends using both spherical and Torus SOM with a view to diagnose its trends, inter-relate other risk factors as well as evaluating the responses obtained from the two approaches of SOM.
international conference on neural information processing | 2002
T. Aaoyagi; Heizo Tokutaka; Kikuo Fujimura; Yoshio Maniwa
We consider fast independent component analysis (FastICA), which is one of the independent component analysis algorithms. FastICA was proposed by Aapo Hyvarinen et al., (2001). It adopts the method of extracting the independent components one after another by the batch method using kurtosis. This method has fast convergence. The purpose of this research is to apply FastICA to the feature extraction of pulse waves of a human being, and to verify its effectiveness. The pulse waves contain a lot of information concerning the circulation of the blood from the heart to the various parts of the body. When blood flows from the heart and is transmitted to the tips as a wave motion, it is modified by physiological conditions such as the heart beat movement, the circulation of the blood flow, and changes in the state of the minor artery system, which leads to the distortion of the shape of the waves. The individual distortions have been evaluated and several trials have been performed to evaluate the health of a person. SOM is used to cluster the pulse waves and the features extracted from each cluster are considered.
international conference on neural information processing | 2009
Heizo Tokutaka; Eikou Gonda; Yoshio Maniwa; Masashi Yamamoto; Toshiyuki Kakihara; Masahumi Kurata; Kikuo Fujimura; Li Shigang; Masaaki Ohkita
Among the popular lifestyle-related diseases are smoking, overweight and stress. A daily health check is important because there is no clear objective symptom for these diseases. We developed diagnostic software which shows the state of the blood vessels using a Basic SOM model, and compared 1map (Basic SOM) with Torus and a Spherical SOM (blossom).
international conference on neural information processing | 2002
Y. Ikeda; Heizo Tokutaka; Kikuo Fujimura; Yoshio Maniwa
The capacity of the telecommunication line has recently grown to accommodate a growing number of domestic users of the Internet in Japan. This has been necessitated by the shift of the information and communication networks hardware from the traditional coaxial cable to the optical fiber. However, software (service) is insufficient, and actual usefulness of the system has not been established so far. A system prototype for offering various chemical analysis systems is constructed by using the self-organizing map (SOM) that is based on the Web technology.
international symposium on intelligent signal processing and communication systems | 2006
Nobuaki Nousou; Shinya Urase; Yoshio Maniwa; Kikuo Fujimura; Yutaka Fukui
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics | 2004
Yoshio Maniwa; Heizo Tokutaka; Kikuo Fujimura; Masaaki Ohkita; Tadashi Iokibe; Kunihiro Tada
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics | 2007
Peter K. Kihato; Heizo Tokutaka; Masaaki Ohkita; Kikuo Fujimura; Kazuhiko Kotani; Youichi Kurozawa; Yoshio Maniwa
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics | 2003
Tadashi Iokibe; Minako Kurihara; Yoshio Maniwa; Shoichi Ohta; Ichiro Uchida; Mitsuyuki Amata; Motoki Yamamoto
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics | 2003
Yoshio Maniwa; Mitsuyuki Amata; Ichiro Uchida; Shoichi Ota; Toshie Nunokawa