Predicting Functional Recovery in Chronic Stroke Rehabilitation Using Event-Related Desynchronization-Synchronization during Robot-Assisted Movement
المؤلفون المشاركون
Franceschetti, Silvana
Caimmi, Marco
Molinari Tosatti, Lorenzo
Molteni, Franco
Digiacomo, Fabio
Scano, Alessandro
Chiavenna, Andrea
Gramigna, Cristina
Panzica, Ferruccio
Visani, Elisa
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-01-17
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1098653
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر