Journal of International Society of Life Information Science
Online ISSN : 2424-0761
Print ISSN : 1341-9226
ISSN-L : 1341-9226
Volume 24, Issue 1
Displaying 1-50 of 91 articles from this issue
Message on Errata
Cover
Editors / Copyright
Contents
Annnouncement
Preface
ISLIS
Report on the 8th Society's Prizes
Errata of Journal of ISLIS vol.23, No.2
Original Research Papers
  • Hsien-Cheng LIAO, Pei-Chen LO
    Article type: Article
    2006 Volume 24 Issue 1 Pages 19-28
    Published: March 01, 2006
    Released on J-STAGE: May 04, 2019
    JOURNAL FREE ACCESS
    This paper reports a computerized scheme Subband-AR EEG Viewer that provides a comprehensive view of the meditation EEG record. The scheme is mainly designed to trace the varying spectral characteristics in meditation EEG. To accomplish this task, a meditation EEG signal is first decomposed into subband components by tree-structured filter banks. The second-order autoregressive model is then applied to each subband component to estimate its root frequency. Based on the estimated root frequencies and sound logic, specific criterion can be deduced for a particular problem-domain application. To demonstrate the performance of the proposed scheme, two algorithms are introduced for slow α-rhythm detection and meditation EEG interpretation. These algorithms do not require exhausting work at determining appropriate parameters in implementation. Further, due to the second-order autoregressive model adopted, the computation load is greatly reduced. This approach is practically favorable to long-term EEG monitoring and real-time processing, Finally, the meditation scenario can be illustrated by a running gray-scale chart with each gray tone coding a particular EEG rhythmic pattern. Observed meditation scenarios differ significantly from those of the control subjects.
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  • Takashi AOKI, Yoshinori ADACHI, Toshikatsu KITADE
    Article type: Article
    2006 Volume 24 Issue 1 Pages 29-40
    Published: March 01, 2006
    Released on J-STAGE: May 04, 2019
    JOURNAL FREE ACCESS
    This study's purposes were to determine a relationship between the average I_a (of currents related to electrodermal activities of ryodoraku) and its imbalance degree, and to determine how this relationship is changed by another relationship between h_a and f_a, where h_a and f_a are average values of weight-added currents of the H-system and the F-system of ryodoraku, respectively. Biomedical characteristics were seen in which the imbalance degree tended to increase for increasing I_a, and the imbalance degree in the case of h_a>f_a was larger than that in the case of h_a≦f_a. A 2-dimensional pattern space method was proposed which is capable of identifying personal biomedical states related to autonomous nervous systems of 24 ryodoraku. It can discriminate such biomedical states as the imbalance degree of autonomous nerve excitement levels related to 24 ryodoraku systems, the relationship between h_a and f_a, and strained, suppressed and medium states of the sympathetic nervous systems.
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