Yoshiki Muramatsu
Tokyo University of Science
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Publication
Featured researches published by Yoshiki Muramatsu.
international conference of the ieee engineering in medicine and biology society | 2013
Yoshiki Muramatsu; H. Umehara; Hiroshi Kobayashi
We have been developing the wearable muscle suit for direct and physical motion supports. The use of the McKibben artificial muscle has opened the way to the introduction of “muscle suits” compact, lightweight, reliable, wearable “assist-bots” enabling manual worker to lift and carry weights. Since back pain is the most serious problem for manual worker, improvement of the back support muscle suit under the feasibility study and quantitative estimation are shown in this paper. The structure of the upper body frame, the method to attach to the body, and the axes addition were explained as for the improvement. In the experiments, we investigated quantitative performance results and efficiency of the back support muscle suit in terms of vertical lifting of heavy weights by employing integral electromyography (IEMG). The results indicated that the values of IEMG were reduced by about 40% by using the muscle suit.
robotics and biomimetics | 2011
Yoshiki Muramatsu; Hiroyuki Kobayashi; Yutaka Sato; He Jiaou; Takuya Hashimoto; Hiroshi Kobayashi
Exoskeleton systems have been largely developed though, quantitative performance estimation has not been reported so far. We have been developing the wearable muscle suit for direct and physical motion supports. The use of the McKibben artificial muscle has opened the way to the introduction of “muscle suits” — compact, lightweight, reliable, wearable “assist-bots” enabling manual worker to lift and carry weights. By applying integral electromyography (IEMG), we show quantitative performance results and efficiency of the muscle suit in terms of keeping posture and lifting. However index for quantitative estimation is only IEMG. In this paper, we then introduce Oxyhemoglobin and deoxyhemoglobin which express the form whether hemoglobin has oxygen or not. Since muscle uses the oxygen a lot, by observing the change in the amount of Oxyhemoglobin and deoxyhemoglobin, we assume it is possible to recognize the condition of muscle use. As a result, we find that the differences of value between Oxy and Doxy after using muscle may be likened to declare fatigue of muscle.
international conference on intelligent robotics and applications | 2016
Tomosuke Komiyama; Yoshiki Muramatsu; Takuya Hashimoto; Hiroshi Kobayashi
Strength training is important for elderly to maintain their physical ability for independent walking. Meanwhile, the risks of high-intensity strength training for elderly should be considered: blood pressure elevation and arteriosclerosis. To tackle these problems, a multi-functional training machine which offers four kinds of training motions for lower limbs and controls training load dynamically have been developed. In this study, to estimate the effects of variable training load, measurements of muscle strength, blood pressure, and muscle fatigue are conducted in strength training experiments under various load conditions. The results indicate that the dynamic load conditions have potential to inhibit blood pressure elevation and muscle fatigue with increasing muscle strength comparing to constant load condition.
International journal of automation technology | 2011
Yoshiki Muramatsu; Hiroyuki Kobayashi; Yutaka Sato; He Jiaou; Takuya Hashimoto; Hiroshi Kobayashi
Transactions of the Japan Society of Mechanical Engineers. C | 2012
Yutaka Sato; He Jiaou; Hiroyuki Kobayashi; Yoshiki Muramatsu; Takuya Hashimoto; Hiroshi Kobayashi
ROBOMECH Journal | 2014
Yoshiki Muramatsu; Hiroshi Kobayashi
Transactions of the JSME (in Japanese) | 2017
Yoshiki Muramatsu; Koushi Tokoro; Hiroshi Kobayashi
international conference on sensing technology | 2013
Yoshiki Muramatsu; Hiroshi Kobayashi
Transactions of the Japan Society of Mechanical Engineers. A | 2014
Yoshiki Muramatsu; Hiroshi Kobayashi
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2015
Tomosuke Komiyama; Yoshiki Muramatsu; Takuya Hashimoto; Hiroshi Kobayashi