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Proceedings ArticleDOI

EEG-based communication system for patients with locked-in syndrome using fuzzy logic

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TLDR
An Electroencephalogram (EEG)-based communication system is developed to facilitate communication of Locked-in Syndrome patients with their caretakers and a prototype system has been developed and successfully tested.
Abstract
Patients who are conscious and aware of their environment but are physically disabled are known to have Locked-in Syndrome. The causes for this medical condition include traffic accidents, drug addiction and brain clots. There are some available solutions nowadays to help them communicate but the down side is the requirement for physical training which can be both time and money consuming. The main objective of this project is to help these patients communicate and engage more effectively in their daily life. In this paper, an Electroencephalogram (EEG)-based communication system is developed to facilitate communication of these patients with their caretakers. The implementation is composed of both hardware and software. The hardware consists of a 14-channels EEG module and a tablet. The software parts are: processing algorithm, online database and an android application. The EEG module on the patients' scalps keeps reading brainwaves continuously. Meanwhile, the tablet in front of them displays six basic needs, namely, food, water, washroom, help, sleep and entrainment. When the patients focus on a specific need, it will be detected when it matches with a predefined reference in the processing algorithm. The processing is done using fuzzy logic pattern recognition based on eye movement and color detection. The database acts as a two-way communication link between the patients and their caretaker. As the message will be sent through it to the android application-which is installed in the caretakers' phones-in the form of a pop-up notification. Interchangeably, a response message can be sent by the caretakers to state they are on their way for instance. Besides, the tablet will generate a voice message to inform the people around the patients about their need. A prototype system has been developed and successfully tested.

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References
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Journal ArticleDOI

Noninvasive brain-computer interface enables communication after brainstem stroke

TL;DR: This case study demonstrates that an individual locked-in owing to brainstem stroke was able to use a noninvasive BCI to communicate volitional messages and suggests that, regardless of the precipitating event, BCI use may be of benefit to those with locked- in syndrome.
Journal ArticleDOI

Pupil responses allow communication in locked-in syndrome patients

TL;DR: It is reported here that pupil size measured by a bedside camera can be used to communicate with patients with locked-in syndrome and command-following is demonstrated for a patient in a minimally conscious state, suggesting its potential as a diagnostic tool for patients whose state of consciousness is in question.
Journal Article

The electroencephalogram (EEG).

TL;DR: The treatment of every epilepsy patient is highly individualized and strictly under medical supervision as the cost of drugs like Carbamazepine and Sodium Valproate is high and economic constraints become an important factor for the choice of drug.
Proceedings ArticleDOI

Low-cost single-channel EEG based communication system for people with lock-in syndrome

TL;DR: A very low-cost EEG-based BCI that is designed to help severely disabled people communicate with others by means of text and SMS and its average accuracy is 87%.
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