Robotic and Sensor Technology for Upper Limb Rehabilitation
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 23801
Special Issue Editors
Interests: rehabilitation; robotics; biomechanics; gait analysis; movement analysis; musculoskeletal disorders; postural balance; motor learning; neurorehabilitation
Interests: rehabilitation; robotics; biomechanics; gait analysis; movement analysis; musculoskeletal disorders; postural balance; motor learning; neurorehabilitation
Interests: experimental mechanics; robotic rehabilitation; biomedical and biomechanical measurements
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Special Issue Information
Dear Colleagues,
In the last two decades, a considerable effort has been devoted to developing rehabilitation robots, aimed at supporting recovery from sensorimotor deficits, experienced by individuals after central nervous system damage, with a particular focus on stroke. Today, thanks to technological advancements and cost reduction, these devices are being increasingly employed in clinical practice.
Rehabilitation robots can provide tailored therapies that fulfill the main principles of neurorehabilitation, i.e., repetition, high intensity, and task specificity, in a complex and enriched environment, reducing, at the same time, the physical burden on therapists. According to the abovementioned principles, robotic rehabilitation aims to promote neuroplasticity and, therefore, neurophysiological recovery, inducing functional or structural plasticity in brain networks, controlling both motor and cognitive functions.
Along with their use as rehabilitation tools, these devices can also act as evaluation instruments, to quantify the motor performance of patients. In fact, thanks their built-in sensing technology, they allow evaluating kinematic and kinetic data. Such information is then processed to obtain quantitative parameters for tracking patient progress during robot-assisted rehabilitation, and to design patient-tailored rehabilitation protocols.
This Special Issue aims to cover all these aspects, with a special focus on improvements in mechanical design and control of robotic devices, robotic assessment of sensorimotor function, neurophysiological mechanisms implied in robotic rehabilitation, and translational research of efficacy and/or cost-effectiveness of robotic rehabilitation.
Dr. Marco Germanotta
Dr. Michela Goffredo
Dr. Eduardo Palermo
Guest Editors
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Keywords
- Rehabilitation robotics
- Robotic assessment
- Robot-assisted therapy
- Robot design
- Robot control
- Robot-aided cognitive rehabilitation
- Robotics for neurorehabilitation
- Brain–machine interface in neurorehabilitation
- Neurological rehabilitation
- Neural processes of rehabilitation
- Rehabilitation neurophysiology
- Stroke rehabilitation
- Computational neurorehabilitation
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