Towards Robot-Assisted Rehabilitation of Upper Limb Dysfunction

Cameron, Stephen; Zabarauskas, Manfred; Kozłowski, Piotr

doi:10.1007/978-3-319-21290-6_35

Cited by 1 publication

(1 citation statement)

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“…Studies documented that the use of a robot is beneficial for gait training, 49 , 50) improving global locomotion, 51) supporting the hip joint, 52) and addressing upper limb dysfunction. 53) A recent study by Scaletta et al 52) developed a human assistive robot to generate hip joint torque with the use of adjustable tendons based on stiffness in order to reduce the muscular activity requirements of PD patients. Simulation of the behavior of tendons and improvement of lower limb motor performance are helpful.…”

Section: Application Of the Robot Assistant System In Pdmentioning

confidence: 99%

Can the Latest Computerized Technologies Revolutionize Conventional Assessment Tools and Therapies for a Neurological Disease? The Example of Parkinson’s Disease

Asakawa

Sugiyama

Nozaki

et al. 2019

Neurol. Med. Chir.(Tokyo)

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Dramatic breakthroughs in the treatment and assessment of neurological diseases are lacking. We believe that conventional methods have several limitations. Computerized technologies, including virtual reality, augmented reality, and robot assistant systems, are advancing at a rapid pace. In this study, we used Parkinson’s disease (PD) as an example to elucidate how the latest computerized technologies can improve the diagnosis and treatment of neurological diseases. Dopaminergic medication and deep brain stimulation remain the most effective interventions for treating PD. Subjective scales, such as the Unified Parkinson’s Disease Rating Scale and the Hoehn and Yahr stage, are still the most widely used assessments. Wearable sensors, virtual reality, augmented reality, and robot assistant systems are increasingly being used for evaluation of patients with PD. The use of such computerized technologies can result in safe, objective, real-time behavioral assessments. Our experiences and understanding of PD have led us to believe that such technologies can provide real-time assessment, which will revolutionize the traditional assessment and treatment of PD. New technologies are desired that can revolutionize PD treatment and facilitate real-time adjustment of treatment based on motor fluctuations, such as telediagnosis systems and “smart treatment systems.” The use of these technologies will substantially improve both the assessment and the treatment of neurological diseases before next-generation treatments, such as stem cell and genetic therapy, and next-generation assessments, can be clinically practiced, although the current level of artificial intelligence cannot replace the role of clinicians.

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