Exploring Two Alternative BCIs for Improving Alzheimer’s Disease Rehabilitation
| dc.contributor.author | Beaini, Fayez | |
| dc.date.accessioned | 2021-10-07T20:23:21Z | |
| dc.date.available | 2021-10-07T20:23:21Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Neurodegenerative diseases affect the nervous system of the body, ultimately disturbing movement and or mental function where Alzheimer's disease (AD) is the most common form [1]. Brain-computer interface (BCI) is a technology that allows for an alternative method to previous rehabilitation treatments that help improve human cognitive or sensory-motor functions [2]. Due to the crippling and progressive effects of AD, it gives way for the unique utilization of BCI technology to be used for rehabilitation. A standard BCI utilizes electroencephalography (EEG) stimuli to monitor brain activity to obtain relevant information [2]. These traditional BCIs, rely heavily on instrumental learning, and the users themselves, to assist and control their brain activation [3]. The purpose of this paper is to explore alternative BCIs, such as motor-imagery and emotion-based, to explain if these two alternative BCIs can help in improving AD rehabilitation. | |
| dc.identifier.orcid | 0000-0002-9284-1565 | |
| dc.identifier.uri | https://hdl.handle.net/1920/12105 | |
| dc.language.iso | en_US | |
| dc.rights | Attribution-ShareAlike 3.0 United States | |
| dc.rights.uri | https://creativecommons.org/licenses/by-sa/3.0/us/ | |
| dc.subject | Alzheimer's disease | |
| dc.subject | Dementia | |
| dc.title | Exploring Two Alternative BCIs for Improving Alzheimer’s Disease Rehabilitation | |
| dc.type | Technical Report |