Perspectives and Challenges in Robotic Neurorehabilitation
Source abstract
Abstract
The development of robotic devices for rehabilitation is a fast-growing field. Nowadays, thanks to novel technologies that have improved robots’ capabilities and offered more cost-effective solutions, robotic devices are increasingly being employed during clinical practice, with the goal of boosting patients’ recovery. Robotic rehabilitation is also widely used in the context of neurological disorders, where it is often provided in a variety of different fashions, depending on the specific function to be restored. Indeed, the effect of robot-aided neurorehabilitation can be maximized when used in combination with a proper training regimen (based on motor control paradigms) or with non-invasive brain machine interfaces. Therapy-induced changes in neural activity and behavioral performance, which may suggest underlying changes in neural plasticity, can be quantified by multimodal assessments of both sensorimotor performance and brain/muscular activity pre/post or during intervention. Here, we provide an overview of the most common robotic devices for upper and lower limb rehabilitation and we describe the aforementioned neurorehabilitation scenarios. We also review assessment techniques for the evaluation of robotic therapy. Additional exploitation of these research areas will highlight the crucial contribution of rehabilitation robotics for promoting recovery and answering questions about reorganization of brain functions in response to disease.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Stroke Rehabilitation and Recovery · EEG and Brain-Computer Interfaces · Muscle activation and electromyography studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Rehab Technologies, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy
Robotics, Brain and Cognitive Sciences, Istituto Italiano di Tecnologia, Via Melen 83, 16152 Genova, Italy
Department of Informatics, Bioengineering, Robotics and System Engineering, University of Genova, Viale Causa 13, 16145 Genova, Italy
Funding
by Istituto Nazionale per l’Assicurazione contro gli Infortuni sul Lavoro (INAIL)
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