Publication:
A solution to overcome speech disorder of patients using Brain Neuron EEG Signals

dc.contributor.authorJayawickrama, J. A. D. T
dc.contributor.authorThelijjagoda, S
dc.date.accessioned2022-03-01T07:48:56Z
dc.date.available2022-03-01T07:48:56Z
dc.date.issued2020-09-24
dc.description.abstractSpeech disorders are neurodevelopmental disorders such as Stuttering, Dysarthria, Dysphonia and Aphasia associated with left inferior frontal structural anomalies that involve repeating or prolonging a word, syllable or phrase, or stopping during speech and making no sound for certain syllables. Most of the people who are suffering from speech disorders encounter difficulties in professional communication. Since people are busy with their day to day life, it is not practical to spend more time in consulting a doctor or do speech therapies for their medical issues. The speech therapist generally charges a significantly much higher rate for a single speech therapy practice, which the patient needs to practice at least twice or more for a week to get a better result. In an economy like Sri Lanka, people with average income cannot afford such an amount of money. Therefore, an innovative desktop application for speech disorder patients to overcome this problem has arisen. The main aim of this application is to reduce the speech imperative percentage of speech disorder patients via capturing the electroencephalogram feed of speech motor (Broca's area) using brain neuron O1, O2, C3, C4, F3, F4, F7, F8 electrodes and analyzing it to identify speech imperative issues. This system identifies the current impact on the left hemisphere of the brain (Broca's area) using EEG neurofeedback. Using speech voice analysis, the system provides the user to measure the articulation interference of the speech process. Self-Learning video tutorials are available for the clinical practices and treatments are available as prolong, relaxing, and humming exercises. Patients can track down the improvements daily or monthly by the rating system which makes the system unique among all other systems and the result can be directly sent to the desired consultant/neurophysiologist by the system itself. Patients can save time and the total cost of a therapy fee by using this system.en_US
dc.identifier.citationJ. A. D. T Jayawickrama and S. Thelijjagoda, "A solution to overcome speech disorder of patients using Brain Neuron EEG Signals," 2020 International Research Conference on Smart Computing and Systems Engineering (SCSE), 2020, pp. 182-187, doi: 10.1109/SCSE49731.2020.9312997.en_US
dc.identifier.doi10.1109/SCSE49731.2020.9312997en_US
dc.identifier.issn2613-8662
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/1438
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2020 International Research Conference on Smart Computing and Systems Engineering (SCSE);Pages 182-187
dc.subjectsolutionen_US
dc.subjectovercome speechen_US
dc.subjectspeech disorderen_US
dc.subjectpatients usingen_US
dc.subjectBrain Neuronen_US
dc.subjectEEG Signalsen_US
dc.titleA solution to overcome speech disorder of patients using Brain Neuron EEG Signalsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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