1,721,030 research outputs found
Use of eeg signal information to optimize training and promote plasticity
Full text linkWe propose a system for the EEG-EOG-EMG recording in stroke subjects during robotic rehabilitation task. This system was designed for obtaining safe recording conditions, high-quality data, triggering signals to track the task and to align EEG segments to motor performance, friendly visualization and management of the data during the signal acquisition and subsequent analysis. We recorded EEG data from a stroke subject during resting state and robotic rehabilitation task before and after a program of 30 sessions. Results showed high-quality EEG data recorded in the 4 patients with about 80% of artifact-free EEG epochs during robotic performance. Globally, the relatively high percentage of artifact-free EEG epochs represents a good first index of the quality of the EEG recordings. Furthermore, the analysis of EEG power density spectrum revealed typical features of human cortical EEG oscillatory activity during resting state and engaging events
Inflammatory Biomarker and Stroke Rehabilitation a New Point of View about the Role in Prognostic Factor
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Use of the robot assisted gait therapy in rehabilitation of patients with stroke and spinal cord injury
Full text linkDevelopment and test of fex, a fingers extending exoskeleton for rehabilitation and regaining mobility
No full textA proposal for an Italian minimum data set assessment protocol for robot-assisted rehabilitation: A Delphi study
Full text linkCorrigendum to “Hemiparetic gait and changes in functional performance due to OnabotulinumtoxinA injection to lower limb muscles” [Toxicon 107PA (2015) 109–13]
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Training for mobility with exoskeleton robot in person with Spinal Cord Injury: a pilot study
Full text linkWearable robots are people-oriented robots designed to be worn all day, thus helping in the daily activities. They can assist in walking, running, jumping higher or even lifting objects too heavy in normal conditions
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