Development of a haptic bilateral interface for arm self-rehabilitation

Morito, Chikara; Shimono, Tomoyuki; Motoi, Naoki; Fujimoto, Yasutaka; Tsuji, Toshiaki; Hasegawa, Yasuhiro; Abe, Keiichiro; Sakurai, Y.; Ishii, Shinichiro

doi:10.1109/aim.2013.6584192

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…Fig. 4 shows an experiment system [12]. The limb of the subject is strapped to the mover of the system after limit the motion of a wrist by a splint.…”

Section: Methodsmentioning

confidence: 99%

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An estimation of strength ratios of antagonistic muscle groups based on variable moment arm

Tojo

Shimono

2015

2015 IEEE International Conference on Mechatronics (ICM)

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This paper proposes an estimation method of muscular strength based on only output force information at an end-effector of a limb. The muscular strength estimated by the proposal is neither the strength of arms and legs nor torque of a joint. It is output force of functionally-classified muscle groups. Convergence performance of estimation results is improved by utilizing a model taking joint angular dependency of moment arms into account.

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“…Fig. 4 shows an experiment system [12]. The limb of the subject is strapped to the mover of the system after limit the motion of a wrist by a splint.…”

Section: Methodsmentioning

confidence: 99%

“…When it's thought about (22), the equation of the straight line in the i j plane is represented by the left and the middle term of it. Then, the slope is derived from (10), (12) and (22) …”

Section: (22)mentioning

confidence: 99%

An estimation of strength ratios of antagonistic muscle groups based on variable moment arm

Tojo

Shimono

2015

2015 IEEE International Conference on Mechatronics (ICM)

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“…In such cases, symptoms relating to difficulty in recognizing that movements are occurring, in recognizing the direction of movements, as well as recognizing or adjusting the magnitude of forces occur. Moritou et al verified through an experiment that when patients with hemiplegia from stroke were asked to hold onto a fixed grip and the output direction of the force they apply was provided as a visual feedback, the accuracy of their responses to output instructions that indicated the directions in which the force was to be applied improved [7]. Implementation of advanced exercise therapy based on the guidance of movements is essential for therapy using robots.…”

Section: Introductionmentioning

confidence: 97%

Development of an upper limb rehabilitation robot with guidance control by pneumatic artificial muscles

Tsuji

Itoh

Sakaino

et al. 2015

2015 IEEE International Conference on Mechatronics (ICM)

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In recent years, the population of elderly people is increasing rapidly. Rehabilitation training systems using robotics and virtual reality technologies, therefore, attracts attention. This paper introduces the development of an upper limb rehabilitation robot with guidance control. This study investigates how the motor learning effect improves with low stiffness guidance control based on pneumatic artificial muscles.

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“…In proposed method, 2 types of paralysis are evaluated by separate indicators. Specifically, spastic paralysis is evaluated by using acceleration-based bilateral control [10]l [11], and flaccid paralysis is evaluated by using acceleration-based force control. In proposed method, patients are not needed to make the movement, so it can be applied to any recovery process.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of stroke paralysis considering individual differences in symptoms

Ikeda

Ogawa

Ohnishi

2015

2015 IEEE International Conference on Mechatronics (ICM)

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This paper presents evaluation methods to evaluate 2 types of stroke paralysis quantitatively. Recently, aging of the population and declining birthrate is progressing in the developed countries. Along with it, the number of stroke patients is expected to increase because of its high disease rate of the elderly, and rehabilitation system by using robot technology is being focused. In order to perform an effective rehabilitation, the system is desired to evaluate recovery state of the paralysis quantitatively. Because there are 2 types of paralysis symptoms, evaluation methods corresponding to each type are required. In this paper, the rehabilitation system which can evaluate each 2 types of symptoms is proposed. This system is intended to evaluate wide range of recovery state including acute stage and chronic stage. In addition, this system can be realized without force sensor. The experiments are performed by using systems with 2 degrees-of-freedom. The validity of proposed method is verified by experimental results. J 1 − aco J aco J 1 − aco J ref s

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Development of a haptic bilateral interface for arm self-rehabilitation

Cited by 14 publications

References 14 publications

An estimation of strength ratios of antagonistic muscle groups based on variable moment arm

An estimation of strength ratios of antagonistic muscle groups based on variable moment arm

Development of an upper limb rehabilitation robot with guidance control by pneumatic artificial muscles

Quantitative evaluation of stroke paralysis considering individual differences in symptoms

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