Brain oscillations control hand orthosis in a tetraplegic

Using a motor imagery questionnaire to estimate the performance of a Brain–Computer Interface based on object oriented motor imagery

“…MI has often been used in Brain Computer Interface (BCI) paradigms to provide voluntary change of SMR which serves as a basis for generating control signals [Wolpaw et al 2002, Pfurtscheller et al 2000, Pfurtscheller et al 2006b, Leeb et al 2007, Erzinger et al 2008. This type of BCI typically relies on MI of different limbs, to utilise a spatially distinctive activation of the sensory-motor cortex.…”

“…BCI used in rehabilitation of the upper extremities in people with an injury to the Central Nervous System (CNS) serves a dual function: to provide a feedback on the quality of imagination, promoting neurorehabilitation, and to provide control of devices such as an electrical muscle stimulator or a robot used in hand and arm therapy. BCI based on goal oriented imagination has already been demonstrated in chronic SCI patients for controlling neural prostheses [Pfurtscheller et al 2000, Encinger et al 2008. It was also shown that better classification accuracy can be achieved with realistic goal oriented feedback (spatial navigation) than with an abstract alternative (e.g.…”

Applied Advanced Classifiers for Brain Computer Interface

“…The exogenous devices provide some kind of stimuli to the user and they analyse the user's responds to them, examples of this class are devices based on visual evoked potential or P300 (E. Donchin and K. M. Spencer and R. Wijesinghe, 2000). On the contrary, the endogenous devices do not depend on the user's respond to external stimuli, they base their operation in detecting and recognising brain-wave patterns controlled autonomously by the user, examples of this class are devices based on the desynchronisation and synchronisation of µ and β rhythms (Wolpaw, J. R.;et al, 2002), (Pfurtscheller et al, 2000a), (Pineda, J.A. et al, 2003).…”

Signal Processing and Classification Approaches for Brain-Computer Interface

“…The direct BCIs can be seen as a new means of communication that may be used to allow tetraplegic or individuals with severe motor or neuromuscular diseases (e.g. Amyotrophic lateral sclerosis (ALS), brainstem stroke, brain or spinal cord injury, cerebral palsy, muscular (Keirn & Aunon, 1990;Lang et al, 1996;Pfurtscheller et al, 1997;Anderson et al, 1998;Altenmüller & Gerloff, 1999;McFarland et al, 2000;Wessberg et al, 2000;Pfurtscheller et al, 2000b;Nicolelis, 2001;Pfurtscheller et al, 2003). The BCIs can be used also in therapeutic applications by neurofeedback for rehabilitation or functional recovery (Birbaumer & Cohen, 2007;Dobkin, 2007;Birbaumer et al, 1999;Dornhege et al, 2007).…”