Tohru Kiryu
Niigata University
91 Papers
310 Citations
Tohru Kiryu is an academic researcher from Niigata University. The author has contributed to research in topics: Muscle fatigue & Signal processing. The author has an hindex of 10, co-authored 91 publications.
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Papers
Sensation of presence and cybersickness in applications of virtual reality for advanced rehabilitation
Tohru Kiryu,Richard H. Y. So +1 more
TL;DR: This issue presents the results of five studies conducted to evaluate visually-induced effects and speculate influences of virtual rehabilitation, and the influence of visual and vestibular stimuli on cardiovascular responses are reported in terms of academic contribution.
Investigation on parametric analysis of dynamic EMG signals by a muscle-structured simulation model
TL;DR: The authors estimated k parameters up to the fifth order for the surface EMG signals of a masseter muscle during rapid open-close movement of the lower jaw, a ballistic contraction, and fatigue and suggested that the behavior of the third parameter is related to the number of active motor units at the shallow layer of a muscle.
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Multivariate analysis of muscular fatigue during bicycle ergometer exercise
TL;DR: The authors proposed a total evaluation pattern to discriminate muscular fatigue from progression of muscle force at a glance and showed the proportion of first principal component, the components of the first eigenvector, and the correlation coefficients as a function of the work load.
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A muscular fatigue index based on the relationships between superimposed M wave and preceding background activity
TL;DR: A fuzzy rule based muscular fatigue index is proposed that can be used for managing the inevitable variability among individual subjects collected as a group and is suitable for customized membership functions and fuzzy rules more appropriately in each practical field.
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Time–frequency structure of image motion vectors around cybersickness intervals determined with biosignals
TL;DR: For video images that strongly induced cybersickness, zone intervals with a high correlation coefficient between local and global motion vectors were located at the peaks of trigger points in the time-distribution obtained from 25 subjects.
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