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Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement
Joint Authors
Franceschetti, Silvana
Caimmi, Marco
Molinari Tosatti, Lorenzo
Molteni, Franco
Digiacomo, Fabio
Scano, Alessandro
Chiavenna, Andrea
Gramigna, Cristina
Panzica, Ferruccio
Visani, Elisa
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Although rehabilitation robotics seems to be a promising therapy in the rehabilitation of the upper limb in stroke patients, consensus is still lacking on its additive effects.
Therefore, there is a need for determining the possible success of robotic interventions on selected patients, which in turn determine the necessity for new investigating instruments supporting the treatment decision-making process and customization.
The objective of the work presented in this preliminary study was to verify that fully robot assistance would not affect the physiological oscillatory cortical activity related to a functional movement in healthy subjects.
Further, the clinical results following the robotic treatment of a chronic stroke patient, who positively reacted to the robotic intervention, were analyzed and discussed.
First results show that there is no difference in EEG activation pattern between assisted and no-assisted movement in healthy subjects.
Even more importantly, the patient’s pretreatment EEG activation pattern in no-assisted movement was completely altered, while it recovered to a quasi-physiological one in robot-assisted movement.
The functional improvement following treatment was large.
Using pretreatment EEG recording during robot-assisted movement might be a valid approach to assess the potential ability of the patient for recovering.
American Psychological Association (APA)
Caimmi, Marco& Visani, Elisa& Digiacomo, Fabio& Scano, Alessandro& Chiavenna, Andrea& Gramigna, Cristina…[et al.]. 2016. Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement. BioMed Research International،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1098653
Modern Language Association (MLA)
Caimmi, Marco…[et al.]. Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement. BioMed Research International No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1098653
American Medical Association (AMA)
Caimmi, Marco& Visani, Elisa& Digiacomo, Fabio& Scano, Alessandro& Chiavenna, Andrea& Gramigna, Cristina…[et al.]. Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1098653
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1098653