ChARMin: The First Actuated Exoskeleton Robot for Pediatric Arm Rehabilitation

Keller, Urs; Hedel, Hubertus J. A. van; Klamroth-Marganska, Verena; Riener, Robert

doi:10.1109/tmech.2016.2559799

Cited by 72 publications

(59 citation statements)

References 36 publications

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“…In this regard, in general, it has been shown [62] that an end-effector robot is more flexible than an exoskeleton in fitting different sizes of body parts, reducing setup time and increasing ease of use for new patients. Moreover, there is some minimal information on the usability of some of the selected devices: the IOTA is drawn to be lightweight and fit children aged 7 to 12 years old [55] while the ChARMin has two different modules to best fit and cover the range of patients aged 5 to 18 years old [63]. Another aspect is related to the operator point of view: the robot should be properly designed to be easily applied on patients, reducing the cognitive load of the operator itself.…”

Section: Safety and Usability Of Robotic Devicesmentioning

confidence: 99%

“…Finally, we want to emphasize what is missing in most of the selected studies: the safety and usability perceived by the operator and the patient. Indeed, we found only three studies [45,63,64] in which researchers asked, through a questionnaire, the acceptance and tolerance of the device (InMotion2, ChARMin) to therapists and end-users (e.g., children or their parents).…”

Section: Safety and Usability Of Robotic Devicesmentioning

confidence: 99%

“…It consists of a virtual haptic tunnel, representing the ideal trajectory to be followed from the starting to the target position, with the identification of the minimum/maximum speed threshold to proceed along the path. In the literature, we found only a clinical study that has tested the feasibility of rehabilitation with the ChARMin device on children with neurological disorders, adapting the difficulty of the exercises and the assistance of the robot to the capabilities of the patient [63].…”

Section: Robotic Protocols For Upper Limb Rehabilitationmentioning

confidence: 99%

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Devices and Protocols for Upper Limb Robot-Assisted Rehabilitation of Children with Neuromotor Disorders

et al. 2019

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Neuromotor disorders negatively affect the sensorimotor system, limiting the ability to perform daily activities autonomously. Rehabilitation of upper limb impairments is therefore essential to improve independence and quality of life. In the last two decades, there has been a growing interest in robot-assisted rehabilitation as a beneficial way to promote children recovery process. However, a common understanding of the best drivers of an effective intervention has not been reached yet. With this aim, the current study reviewed the existing literature on robot-assisted rehabilitation protocols for upper extremities in children, with the goal of examining the effects of robotic therapy on their sensorimotor recovery process. A literature search was conducted in several electronic database to identify the studies related to the application of robotic therapy on upper limbs in the pediatric population. We analyzed three reviews and 35 studies that used 14 different robotic devices, and an overview of their characteristics, applications in the clinical setting and results is provided. Besides, the potential benefits of robot-assisted assessment and therapy are discussed to identify the key factors yielding positive outcomes in children. Finally, this review aim to lay the foundations for more effective neuroplasticity-enhancement protocols and elicit insights into robot-based approaches.

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Section: Safety and Usability Of Robotic Devicesmentioning

confidence: 99%

Section: Safety and Usability Of Robotic Devicesmentioning

confidence: 99%

Section: Robotic Protocols For Upper Limb Rehabilitationmentioning

confidence: 99%

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Devices and Protocols for Upper Limb Robot-Assisted Rehabilitation of Children with Neuromotor Disorders

et al. 2019

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“…En el trabajo de Keller, et al [25], se desarrolló Charmin, un exoesqueleto que ayuda a los niños con parálisis cerebral a realizar movimientos de brazos. La eficacia de Charmin se demostró a través de experimentos con supervivientes de accidentes cerebrovasculares y sujetos sanos.…”

Section: Sistemas Exoesqueléticosunclassified

Arquitectura de un sistema de medición de bioparámetros integrando señales inerciales-magnéticas y electromiográficas

2018

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Este trabajo presenta una arquitectura para la medición e integración de bioparámetros basado en unidades de procesamiento de movimiento inercial-magnético (MPUs) y electromiografía (EMG). Derivado de la arquitectura propuesta, se logró desarrollar un dispositivo llamado Imocap, el cual reúne y utiliza las mejores características de la tecnología MPU + EMG para realizar una medición completa en el segmento de brazo y antebrazo en el cuerpo humano. Se presenta en primer lugar la revisión bibliográfica de los métodos y herramientas para la captura del movimiento biomecánico, seguido de las técnicas y aplicaciones de la recolección de bioparámetros. Finalmente, se muestra la arquitectura y la descripción del sistema Imocap, algunas aplicaciones y discusión. Como trabajo futuro, Imocap tiene como objetivo proporcionar la información necesaria en un sistema de control electrónico para una plataforma de rehabilitación basada en exoesqueletos robóticos.

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“…Based on the applications, exoskeletons are categorized in three types i.e. rehabilitation, assistance and power augmentation exoskeletons Fan and Yin (2013); Hsieh et al (2017); Cui et al (2016); Keller et al (2016); Huang et al (2015); Castro et al (2019); Christensen and Bai (2018); Gunasekara et al (2012); Zhou et al (2015). Rehabilitation and power augmentation exoskeletons are mainly focused on serving humans to regain their mobility and helping the users with extra power to enhance their capability, respectively Bai et al (2018).…”

Section: Introductionmentioning

confidence: 99%

Payload estimation using forcemyography sensors for control of upper-body exoskeleton in load carrying assistance

Islam¹,

Bai²

2019

MIC

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In robotic assistive devices, the determination of required assistance is vital for proper functioning of assistive control. This paper presents a novel solution to measure conveniently and accurately carried payload in order to estimate the required assistance level. The payload is estimated using upper arm forcemyography (FMG) through a sensor band made of force sensitive resistors. The sensor band is worn on the upper arm and is able to measure the change of normal force applied due to muscle contraction. The readings of the sensor band are processed using support vector machine (SVM) regression technique to estimate the payload. The developed method was tested on human subjects, carrying a payload. Experiments were further conducted on an upper-body exoskeleton to provide the required assistance. The results show that the developed method is able to estimate the load carrying status, which can be used in exoskeleton control to provide effectively physical assistance needed.

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ChARMin: The First Actuated Exoskeleton Robot for Pediatric Arm Rehabilitation

Cited by 72 publications

References 36 publications

Devices and Protocols for Upper Limb Robot-Assisted Rehabilitation of Children with Neuromotor Disorders

Devices and Protocols for Upper Limb Robot-Assisted Rehabilitation of Children with Neuromotor Disorders

Arquitectura de un sistema de medición de bioparámetros integrando señales inerciales-magnéticas y electromiográficas

Payload estimation using forcemyography sensors for control of upper-body exoskeleton in load carrying assistance

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