Your doctor can explain which of the various BCI interfaces works with efficacy percentages and which ones are in their hospital.
An OpenBCI-based, low-cost, virtual reality brain-computer interface for severe stroke upper limb motor recovery
1. Introduction
“Stroke is one of the leading causes of adult disability worldwide, and despite intensive physiotherapy, up to 2/3 of stroke survivors never fully recover [1]. In particular, individuals with severe motor impairments following stroke, who are unable to move their arm or hand, show the poorest outcomes, as they are unable to actively participate in traditional rehabilitation [1]. However, emerging research has examined ways to facilitate activation of the damaged motor cortex in the absence of volitional movement. Two primary ways include: 1) the action observation network (AON), and 2) neurofeedback from brain computer interfaces (BCIs). First, the AON consists of motor-related regions in the brain that are active during both the performance of an action and simply during the observation of an action, making it a feasible way to stimulate cortical motor regions in the absence of volitional movement [2], [3]. The AON is active when stroke patients observe a limb that corresponds to their own affected limb [3] and can lead to improvements in individuals with severe motor impairments [4]. Second, BCI-based neurofeedback is typically defined as sensory feedback of biological activity in the brain (e.g., as measured with electroencephalography; EEG) that is used to control a computerized device (e.g., movement of an object on a computer screen). BCIs for severe stroke attempt to ‘close the loop’ between motor commands and sensory feedback, but often employ less biologically-relevant feedback, such as a moving a ball or a thermometer, which reflects brain activity.”
Xinyu Tan, Yi Li, Yuan Gao, “Combining brain-computer interface with virtual reality: Review and prospect”, Computer and Communications (ICCC) 2017 3rd IEEE International Conference on, pp. 514-518, 2017.
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