Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond
Neurological diseases causing motor/cognitive impairments are among the most common causes of adult-onset disability. More than one billion of people are affected worldwide, and this number is expected to increase in upcoming years, because of the rapidly aging population. The frequent lack of compl...
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doaj-14ad890af3d84f6c8bc01ac162d93fe82020-11-24T23:22:58ZengFrontiers Media S.A.Frontiers in Neurology1664-22952018-04-01910.3389/fneur.2018.00212344248Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and BeyondMarianna Semprini0Matteo Laffranchi1Vittorio Sanguineti2Laura Avanzino3Roberto De Icco4Roberto De Icco5Lorenzo De Michieli6Michela Chiappalone7Rehab Technologies, Istituto Italiano di Tecnologia, Genova, ItalyRehab Technologies, Istituto Italiano di Tecnologia, Genova, ItalyDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova, Genova, ItalySection of Human Physiology, Department of Experimental Medicine (DIMES), University of Genova, Genova, ItalyDepartment of Neurology and Neurorehabilitation, Istituto Neurologico Nazionale C. Mondino, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyRehab Technologies, Istituto Italiano di Tecnologia, Genova, ItalyRehab Technologies, Istituto Italiano di Tecnologia, Genova, ItalyNeurological diseases causing motor/cognitive impairments are among the most common causes of adult-onset disability. More than one billion of people are affected worldwide, and this number is expected to increase in upcoming years, because of the rapidly aging population. The frequent lack of complete recovery makes it desirable to develop novel neurorehabilitative treatments, suited to the patients, and better targeting the specific disability. To date, rehabilitation therapy can be aided by the technological support of robotic-based therapy, non-invasive brain stimulation, and neural interfaces. In this perspective, we will review the above methods by referring to the most recent advances in each field. Then, we propose and discuss current and future approaches based on the combination of the above. As pointed out in the recent literature, by combining traditional rehabilitation techniques with neuromodulation, biofeedback recordings and/or novel robotic and wearable assistive devices, several studies have proven it is possible to sensibly improve the amount of recovery with respect to traditional treatments. We will then discuss the possible applied research directions to maximize the outcome of a neurorehabilitation therapy, which should include the personalization of the therapy based on patient and clinician needs and preferences.http://journal.frontiersin.org/article/10.3389/fneur.2018.00212/fullbrain–computer interfacemotor impairmentneurologic disorderneuromodulationpersonalization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marianna Semprini Matteo Laffranchi Vittorio Sanguineti Laura Avanzino Roberto De Icco Roberto De Icco Lorenzo De Michieli Michela Chiappalone |
spellingShingle |
Marianna Semprini Matteo Laffranchi Vittorio Sanguineti Laura Avanzino Roberto De Icco Roberto De Icco Lorenzo De Michieli Michela Chiappalone Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond Frontiers in Neurology brain–computer interface motor impairment neurologic disorder neuromodulation personalization |
author_facet |
Marianna Semprini Matteo Laffranchi Vittorio Sanguineti Laura Avanzino Roberto De Icco Roberto De Icco Lorenzo De Michieli Michela Chiappalone |
author_sort |
Marianna Semprini |
title |
Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond |
title_short |
Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond |
title_full |
Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond |
title_fullStr |
Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond |
title_full_unstemmed |
Technological Approaches for Neurorehabilitation: From Robotic Devices to Brain Stimulation and Beyond |
title_sort |
technological approaches for neurorehabilitation: from robotic devices to brain stimulation and beyond |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Neurology |
issn |
1664-2295 |
publishDate |
2018-04-01 |
description |
Neurological diseases causing motor/cognitive impairments are among the most common causes of adult-onset disability. More than one billion of people are affected worldwide, and this number is expected to increase in upcoming years, because of the rapidly aging population. The frequent lack of complete recovery makes it desirable to develop novel neurorehabilitative treatments, suited to the patients, and better targeting the specific disability. To date, rehabilitation therapy can be aided by the technological support of robotic-based therapy, non-invasive brain stimulation, and neural interfaces. In this perspective, we will review the above methods by referring to the most recent advances in each field. Then, we propose and discuss current and future approaches based on the combination of the above. As pointed out in the recent literature, by combining traditional rehabilitation techniques with neuromodulation, biofeedback recordings and/or novel robotic and wearable assistive devices, several studies have proven it is possible to sensibly improve the amount of recovery with respect to traditional treatments. We will then discuss the possible applied research directions to maximize the outcome of a neurorehabilitation therapy, which should include the personalization of the therapy based on patient and clinician needs and preferences. |
topic |
brain–computer interface motor impairment neurologic disorder neuromodulation personalization |
url |
http://journal.frontiersin.org/article/10.3389/fneur.2018.00212/full |
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