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Brain-computer interface (BCI) systems allow people to send messages or commands without moving, and hence can provide an alternative communication and control channel for people with limited motor function. In this study, we demonstrate a BCI system for orthosis control. Our BCI was asynchronous, meaning that subjects could move the orthosis whenever they wanted, instead of pacing themselves to external...
In this paper, we present a conceptual model of the steps to be taken in nerve regeneration. Starting with early vision we identify the key developmental steps leading to formation functional circuits. We then examine the two main approaches to nerve regeneration - the first centered on activating intrinsic growth restorative functions to injured axons and the second on stem cell based therapies....
Brain-computer interfaces (BCIs) open a new valuable communication channel for people with severe neurological or motor degenerative diseases, such as ALS patients. On the other hand, the ability to teleoperate robots in a remote scenario provides a physical entity embodied in a real environment ready to perceive, explore, and interact. The combination of both functionalities provides a system with...
Convergence insufficiency is a vision dysfunction in which people have difficulties performing visual tasks close to them such as reading. Symptoms include headaches, eye strain, blurred and double vision, and visual fatigue. Four subjects participated in 18 hours of vision rehabilitation consisting of home and laboratory sessions. During a longitudinal study, subjects performed a simple vergence...
In recent years several lines of research have provided scientific evidence for the therapeutic value of non-invasive methods based on visual feedback and motor imagery. Clinical studies have demonstrated their potential to benefit some patient populations such as cerebrovascular accident (CVA) and complex regional pain syndrome (CRPS). This type of intervention appears appropriate for implementation...
A brain-computer interface (BCI) provides the possibility to translate brain neural activity patterns into control commands without user's movement. The brain activity is most commonly measured non-invasively via standard electroencephalography (EEG), i.e., with electrodes placed on the surface of the scalp. In this article, we evaluate a BCI system based on steady-state visual evoked potentials (SSVEPs)...
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