Visualization of ERD/ERS on leg Motor Imagery
نویسندگان
چکیده
منابع مشابه
The Effect of Motor imagery practice after the session training on motor memory consolidation in elderly
Introduction The purpose of the present study was to assess the effect of motor imagery training after exercise on motor memory consolidation in the elderly. Materials and Methods The statistical population of the study consisted of healthy men and women in Mashhad nursing homes 22 persons were randomly assigned to 2 groups: motor imagery and control (each group included 11 participants). Int...
متن کامل3D visualization of movements can amplify motor cortex activation during subsequent motor imagery
A repetitive movement practice by motor imagery (MI) can influence motor cortical excitability in the electroencephalogram (EEG). This study investigated if a realistic visualization in 3D of upper and lower limb movements can amplify motor related potentials during subsequent MI. We hypothesized that a richer sensory visualization might be more effective during instrumental conditioning, resul...
متن کاملCognitive constraints on motor imagery
Executed bimanual movements are prepared slower when moving to symbolically different than when moving to symbolically same targets and when targets are mapped to target locations in a left/right fashion than when they are mapped in an inner/outer fashion [Weigelt et al. (Psychol Res 71:238-447, 2007)]. We investigated whether these cognitive bimanual coordination constraints are observable in ...
متن کاملMotor imagery.
We describe general concepts about motor imagery and differences to motor execution. The problem of controlling what the subject actually does during imagery is emphasized. A major part of the chapter is dealing with mental training by imagery and the usage of motor imagination in athletes, musicians and during rehabilitation. Data of altered representations of the body after loss of afferent i...
متن کاملA Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System
Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Symposium on Affective Science and Engineering
سال: 2018
ISSN: 2433-5428
DOI: 10.5057/isase.2018-c000022