Robot-based rehabilitation has been shown to have positive effects by reducing impairment (Loureiro et al., 2014). Typically, rehabilitation methods are either highly human intensive or involve attachment of rigid robotic system controlling the upper limb. It has been found that it is important for a patient to undergo continuous exercise for successful rehabilitation (Heo et al., 2012) which robots are able to provide. The aim of the robotic assistance is to provide a set of intensive and repetitive therapies to enhance the motor recovery of patients, decreasing the amount of work of a therapist.
Therefore, there is a growing interest in using robotic devices to deliver effective assistance. These patients often use assistive devices and therapy to encourage them to use their damaged limb so that the re-growth of a neural circuitry can take place that would eventually aid recovery through neuro-plasticity (Jack et al., 2001). In stroke patients, damage to the motor-, and somato-sensory cortices, makes it difficult to control and move the arm, forearm, and fingers. Neurological illness often manifests in clinical condition resulting in weakness of the muscles controlling the elbow and rehabilitation devices are used in order to help in recovery of muscular power (Maciejasz et al., 2014).
#Train to busan eng sub soft full#
The proposed integrated systems will be an ideal solution for neurorehabilitation where affordable, wearable, and portable systems are required to be customized for individuals with specific motor impairments.Īlthough an increased effort has been placed on the recovery process of patients following a stroke, with recent advances in technology for monitoring the brain functions, lack of human resources in therapeutic training of patients implies that patients generally may not reach their full recovery potential when discharged from hospital following initial rehabilitation (Loureiro and Harwin, 2007). The proposed EAsoftM presented one possible solution for this challenge by transmitting the torque effectively along the anatomically aligned with a human body exoskeleton. Aiming at rehabilitation exercise for individuals, typically soft actuators have been developed for relatively small motions, such as grasping motion, and one of the challenges has been to extend their use for a wider range reaching motion. In addition, the vision-based control law has been proposed for the precise control over the target reaching motion within the millimeter scale. The EAsoftM can support the reaching motion with compliance realized by the soft materials and pneumatic actuation. Integrating the 3D printed exoskeleton with passive joints to compensate gravity and with active joints to rotate the shoulder and elbow joints resulted in ultra-light system that could assist planar reaching motion by using the vision-based control law. We demonstrated the design, production, and functional properties of the Exoskeleton Actuated by the Soft Modules (EAsoftM).
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