Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement.
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 tur...
| Publicado en: | BioMed Research International Vol. 2016; pp. 1 - 12 |
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| Autores principales: | , , , , , , , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Wiley-Blackwell
1/17/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113630321&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113630321 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 1/17/2016 vid: 2016 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 113630321 113630321 113630321 10.1155/2016/7051340 113630321 ppf: 1 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement. aug: au: Caimmi, Marco Visani, Elisa Digiacomo, Fabio Scano, Alessandro Chiavenna, Andrea Gramigna, Cristina Molinari Tosatti, Lorenzo Franceschetti, Silvana Molteni, Franco Panzica, Ferruccio affil: Institute of Industrial Technology and Automation (ITIA), National Research Council (CNR), Via Bassini 15, 20133 Milan, Italy sug: subj: Stroke Rehabilitation Robotics Assistive Technology Human Cardiac Resynchronization Therapy Pretest-Posttest Design Descriptive Statistics Data Analysis Software ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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