Title :
Quantitative EEG parameters for monitoring and biofeedback during rehabilitation after stroke
Author :
Kanna, Suresh ; Heng, John
Author_Institution :
Robot. Res. Centre, Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Stroke is one of the most disabling diseases that mankind has experienced. The disability caused after stroke can be effectively reduced when the patient is encouraged to undergo regular rehabilitation therapy.
Keywords :
electroencephalography; patient monitoring; patient rehabilitation; biofeedback; quantitative EEG parameters; stroke rehabilitation; Biological control systems; Brain; Condition monitoring; Drugs; Electroencephalography; Humans; Medical treatment; Neurofeedback; Neuroplasticity; Patient monitoring; Brain plasticity; Quantitative EEG; Stroke Rehabilitation; functional asymmetry;
Conference_Titel :
Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2852-6
DOI :
10.1109/AIM.2009.5229832
