The Experts below are selected from a list of 21249 Experts worldwide ranked by ideXlab platform
Masami Iwase - One of the best experts on this subject based on the ideXlab platform.
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Development of man-machine interface utilizing Myoelectricity
2009 35th Annual Conference of IEEE Industrial Electronics, 2009Co-Authors: Masami Iwase, Hiroshi KogureAbstract:This paper aims to develop a man-machine interface utilizing Myoelectricity as input signals. The accurate relationship between an operator's intention and Myoelectricity arising as the result of the intension is required to realize such an interface. In our study, paying attention to the wrist motion, an NARX model from Myoelectricity as input to the wrist angle as output is derived, and is utilized to estimate the wrist angle from Myoelectricity measured by EMG sensors. The Lebesgue-type identification method for NARX models is used to obtain the model. Control of unstable systems is a difficult task in general, hence, the concept of safe manual control is combined with our interface. The effectiveness of the proposed man-machine interface is verified by experiments in which the interface is used for control of a Furuta pendulum.
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modeling and identification of man machine interface using Myoelectricity
International Conference on Control Applications, 2008Co-Authors: Masami Iwase, T. Tajiri, M. Andoh, K. UraAbstract:This study focuses on the stabilizing operation of a pendulum by using Myoelectricity as the control signal. Recently Myoelectricity is highlighted in the control application fields such as artificial hands and powered suits. However, even expert operators fail in stabilization of the pendulum because controlling of the target system by using Myoelectricity is a difficult task. To deal with such a situation, introducing of an operation assistance by an automatic control is one of useful solutions, however, in general, the design of such automatic control system requires the model of Myoelectricity. Thus it is still challenging task to achieve modeling and identification of Myoelectricity. This paper tries to make a model of the dynamical system of the Myoelectricity by utilizing the nonlinear ARX models proposed by Furuta and verifies the effectiveness of the model through some experiments.
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CCA - Modeling and identification of man-machine interface using Myoelectricity
2008 IEEE International Conference on Control Applications, 2008Co-Authors: Masami Iwase, T. Tajiri, M. Andoh, K. UraAbstract:This study focuses on the stabilizing operation of a pendulum by using Myoelectricity as the control signal. Recently Myoelectricity is highlighted in the control application fields such as artificial hands and powered suits. However, even expert operators fail in stabilization of the pendulum because controlling of the target system by using Myoelectricity is a difficult task. To deal with such a situation, introducing of an operation assistance by an automatic control is one of useful solutions, however, in general, the design of such automatic control system requires the model of Myoelectricity. Thus it is still challenging task to achieve modeling and identification of Myoelectricity. This paper tries to make a model of the dynamical system of the Myoelectricity by utilizing the nonlinear ARX models proposed by Furuta and verifies the effectiveness of the model through some experiments.
Yoshiyuki Sankai - One of the best experts on this subject based on the ideXlab platform.
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tongue motion detection based on svm from surface Myoelectricity for alternative interface system
Transaction on Control and Mechanical Systems, 2014Co-Authors: Junji Takahashi, Yasuhisa Hasegawa, Satoru Suezawa, Yoshiyuki SankaiAbstract:This paper proposes a novel alternative interface system that enables a user to control an electrical device without his/her hands. The system reads the operational intentions of the user from his/her tongue motions. Although the tongue is the most maneuverable organ besides the hands, it is difficult to detect its motions noninvasively. W e develop a multiple electrode array, which is attached to the anterior neck so as to register myoelectric signals related to tongue motions, and we also develop a motion classification algorithm based on SVM . The proposed system detects 7 tongue motions: right, left, upward, downward, forward, backward and neutral with 90% accuracy. Moreover, this system is integrated with the cursor pointer of a PC. Operability tests based on Fitts' law are conducted with three able-bodied persons, and the results valid ate the proposed system.
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the discriminant criteria detecting operational intention from Myoelectricity for alternative interface system
Transaction on Control and Mechanical Systems, 2013Co-Authors: Junji Takahashi, Noel Segura Meraz, Yasuhisa Hasegawa, Yoshiyuki SankaiAbstract:This paper proposes an alternative interface system with novel architecture flexible enough to adapt to various types of physically challenged person and able-bodied person, and also capable of connecting to various devices, using a tablet computer as a central system with which a user are interacting. For this interface system surface Myoelectricity of various muscles which a user still has control, are used as input signals for controlling a tablet. The aim of this system is to extract operational intention of user while user doing deskwork. The special patterns of myoelectric signals, which are rarely observed in daily life, are utilized for discriminating operational intention from motional intention. We developed discriminant criteria and validated it experimentally. Additionally the operability of our proposed interface system is evaluated by Fitts’ law based test GUI. The experimental results show that our proposed system is better than other types of alternative interface system.
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IntentionBased Walking Support for Paraplegia Patient
2005Co-Authors: Yasuhisa Hasegawa, Yoshiyuki Sankai, Kenta Suzuki, Gouji Mito, Hiroaki KawamotoAbstract:This paper proposes an algorithm to estimate human intentions related with walking in or-der to comfortably and safely support a paraplegia patient’s walk. A robot suit “HAL ” has been developed for an enhancement of healthy person’s activities and for support of physi-cally challenged person’s daily life. Assisting method based on bioelectrical signals such as Myoelectricity successfully supports healthy person’s walking. These bioelectrical signals, however, cannot be measured properly from a paraplegia patient. Therefore another inter-face that can estimate patients ’ intentions without any manual controller are desired for robot control since a manual controller deprives a patient of his/her hands ’ freedom. Estimation of patients ’ intentions contributes to support not only comfortably but also safely, because an inconformity between the robot suit motion and the patient motion results in his/her stum-bling or falling. The proposed algorithm, therefore, estimates patient’s intentions from a floor reaction force reflecting patient’s weight shift during walking and standing. The effectiveness of this algorithm is investigated through experiments on a paraplegia patient who has a sen-sory paralysis on both legs, especially his left leg. We show that HAL supports patient’s walk properly, estimating his intentions based on floor reaction force
K. Ura - One of the best experts on this subject based on the ideXlab platform.
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modeling and identification of man machine interface using Myoelectricity
International Conference on Control Applications, 2008Co-Authors: Masami Iwase, T. Tajiri, M. Andoh, K. UraAbstract:This study focuses on the stabilizing operation of a pendulum by using Myoelectricity as the control signal. Recently Myoelectricity is highlighted in the control application fields such as artificial hands and powered suits. However, even expert operators fail in stabilization of the pendulum because controlling of the target system by using Myoelectricity is a difficult task. To deal with such a situation, introducing of an operation assistance by an automatic control is one of useful solutions, however, in general, the design of such automatic control system requires the model of Myoelectricity. Thus it is still challenging task to achieve modeling and identification of Myoelectricity. This paper tries to make a model of the dynamical system of the Myoelectricity by utilizing the nonlinear ARX models proposed by Furuta and verifies the effectiveness of the model through some experiments.
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CCA - Modeling and identification of man-machine interface using Myoelectricity
2008 IEEE International Conference on Control Applications, 2008Co-Authors: Masami Iwase, T. Tajiri, M. Andoh, K. UraAbstract:This study focuses on the stabilizing operation of a pendulum by using Myoelectricity as the control signal. Recently Myoelectricity is highlighted in the control application fields such as artificial hands and powered suits. However, even expert operators fail in stabilization of the pendulum because controlling of the target system by using Myoelectricity is a difficult task. To deal with such a situation, introducing of an operation assistance by an automatic control is one of useful solutions, however, in general, the design of such automatic control system requires the model of Myoelectricity. Thus it is still challenging task to achieve modeling and identification of Myoelectricity. This paper tries to make a model of the dynamical system of the Myoelectricity by utilizing the nonlinear ARX models proposed by Furuta and verifies the effectiveness of the model through some experiments.
Chen Wang - One of the best experts on this subject based on the ideXlab platform.
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biofeedback therapy combined with traditional chinese medicine prescription improves the symptoms surface Myoelectricity and anal canal pressure of the patients with spleen deficiency constipation
Evidence-based Complementary and Alternative Medicine, 2013Co-Authors: Yibo Yao, Yongqing Cao, Xiutian Guo, Hongtao Liang, Chen WangAbstract:In order to observe the clinical therapeutic effects of Yiqi Kaimi Prescription and biofeedback therapy on treating constipation with deficiency of spleen qi, the 30 cases in the control group were given oral administration of Yiqi Kaimi Prescription, in combination with anus-lifting exercise; the 30 cases in the treatment group were given biofeedback therapy on the basis of the afore mentioned methods for the control group. The TCM symptom scores and anorectal pressures before and after treatment were observed and evaluated. There were significant differences in TCM symptom scores, anorectal pressure, and clinical recovery rate before and after treatment. In the treatment group, the total recovery rate was 86.66%, while in the control group it was 50%; there were significant differences between the two groups (P < 0.01). Yiqi Kaimi Prescription coupled with biofeedback therapy is clinically effective for treating constipation with deficiency of spleen qi, and thus this method is applicable for functional constipation with deficiency of spleen qi.
Wei Wang - One of the best experts on this subject based on the ideXlab platform.
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Research Article De Qi, a Threshold of the Stimulus Intensity, Elicits the Specific Response of Acupoints and Intrinsic Change of
2016Co-Authors: Human Brain To Acupuncture, Guang-ying Huang, Wei WangAbstract:Copyright © 2014 Dai-Shi Tian et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Objectives. De qi is the subjective constellation of sensations perceived by the acupuncturists and patients as described in several literatures, but the absence of quantitative evaluation methods in de qi restricts the use of acupuncture treatment widely in the world. In the present study, we tried to investigate the intrinsic property of de qi is and how evaluate it quantitatively. Methods. 30 healthy adult volunteers were determined to investigate intrinsic changes in the human body after acupuncture with de qi. Results. Acupuncture treatment with de qi apparently increased acupoint blood flow, tissue displacement, and the amplitude of Myoelectricity after de qi on acupoints. Furthermore, acupuncture treatment induced fMRI signal increase/decrease in different brain regions although no significant change in electroencephalography. Interpretation. The intrinsic change of the subjects representing the specific response of acupoints and human brain to acupuncture indicated that de qi might be evaluated quantitatively by those above aspects, which facilitated the confirmation in validity and propagation of this treatment modality widely in the world. 1
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De Qi, a Threshold of the Stimulus Intensity, Elicits the Specific Response of Acupoints and Intrinsic Change of Human Brain to Acupuncture
Hindawi Limited, 2014Co-Authors: Dai-shi Tian, Jin Xiong, Qing Pan, Fang Liu, Lu Wang, Guang-ying Huang, Wei WangAbstract:Objectives. De qi is the subjective constellation of sensations perceived by the acupuncturists and patients as described in several literatures, but the absence of quantitative evaluation methods in de qi restricts the use of acupuncture treatment widely in the world. In the present study, we tried to investigate the intrinsic property of de qi is and how evaluate it quantitatively. Methods. 30 healthy adult volunteers were determined to investigate intrinsic changes in the human body after acupuncture with de qi. Results. Acupuncture treatment with de qi apparently increased acupoint blood flow, tissue displacement, and the amplitude of Myoelectricity after de qi on acupoints. Furthermore, acupuncture treatment induced fMRI signal increase/decrease in different brain regions although no significant change in electroencephalography. Interpretation. The intrinsic change of the subjects representing the specific response of acupoints and human brain to acupuncture indicated that de qi might be evaluated quantitatively by those above aspects, which facilitated the confirmation in validity and propagation of this treatment modality widely in the world
