Research and Development of Compact Wrist Rehabilitation Robot System

Yamamoto, Ikuo; Inagawa, Naohiro; Matsui, Miki; Hachisuka, Kenji; Wada, Futoshi; Hachisuka, Akiko

doi:10.3233/bme-130792

Cited by 23 publications

(12 citation statements)

References 7 publications

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“…3) has been found to be beneficial for monitoring rehabilitation training effectiveness in muscles. (15)(16)(17)(18) A major feature of this mechanism is the ability to mirror movement for training from the nonparetic hand, as expressed through interaction with the grip, to the paretic hand; this is referred to as mirror effect training. (19) This mirror effect has been found to be particularly effective for patients with advanced paralysis.…”

Section: Rehabilitation Robot and Its Interfacementioning

confidence: 99%

Wrist Rehabilitation Robot System and Its Effectiveness for Patients

Yamamoto¹,

Matsui²,

Higashi³

et al. 2018

Sensors and Materials

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The authors have developed a practical wrist rehabilitation robot for hemiplegic patients. It consists of a desk equipped with mechanical rotating handle grips, sensors, a computer, and a display. Myoelectric sensors, which are bioelectric signal detectors, are used to monitor the extensor carpi radialis longus/brevis muscle and flexor carpi radialis muscle activity during training. Training effectiveness is ensured by monitoring the extension and flexion of the appropriate muscles. A feature of the system is that it operates as a dual-wrist system, developed to mirror the training between wrists, making autonomous training of either wrist possible. A user-friendly touch screen interface is provided; the screen displays progress data and images to encourage the patients towards completion of the necessary rehabilitation tasks critical to facilitate recovery. The developed robotic system is relatively compact and portable. The effectiveness of this system has been confirmed through clinical trials, and motivational effectiveness has been confirmed through electroencephalography (EEG)-based evaluation and direct survey.

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Section: Rehabilitation Robot and Its Interfacementioning

confidence: 99%

Wrist Rehabilitation Robot System and Its Effectiveness for Patients

Yamamoto¹,

Matsui²,

Higashi³

et al. 2018

Sensors and Materials

Self Cite

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show abstract

“…It has been used in numerous studies aside from rehabilitation, such as tracking [10], movements of a dancer [11], and sports [12]. In [13], authors present a rehabilitation system based in a robot which can detect patient's intention revealing that robots are able to assist patients in treatment.…”

Section: State Of the Artmentioning

confidence: 99%

Shoe-integrated sensors in physical rehabilitation

Villarejo

Zapirain

Zorrilla

2014

Bio-Medical Materials and Engineering

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This paper presents a shoe-integrated sensor device which collects objective information concerning the gait quality in patients' physical rehabilitation. It involves four pressure sensors, two bending sensors, an ultrasonic sensor and a 9dof IMU, an Inertial Measurement Unit with three accelerometers, three gyroscopes and three magnetometers. The device includes a SDRAMPS with the aim of storing the information for long periods of time. The collected data can be sent to the server for later visualization by the specialist and the patient on a web platform. An interface shows the data in real time, allowing it to verify the connections and to check different movements.

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“…In addition to that, the authors have developed the training robot that has a function to detect the myoelectric potential by myoelectric sensors on patient's muscle, and analyze the patient's intention to flex their wrist shown in Fig.2, Fig3 and Fig4. The training robot can provoke training through the function, so that patients can undergo effective training shown in Fig.5 [15][16][17]. The rehabilitative training robot consists of grip, actuator, biological signal detector, biological signal processor, training controller and both-wrist system.…”

Section: System Configurationmentioning

confidence: 99%