K. J. Somaiya

Dementia is a disorder caused by the gradual abnormality and death of brain cells thus progressively rendering the person to be dependent on others for their activities of daily living. With symptoms like muffled speech, memory loss, visual hallucinations, change in concentration and judgement, the paper proposes to forecast dementia in its early stage which has no established cure till date. The aim is to slow down its progress through early and accurate prediction using EEG (Electroencephalography) signals. EEG signals are used to extract meaningful markers to characterise the effects of Dementia on the brain. The paper proposes to extract features from the frequency bands which will be given as an input to Machine Learning algorithm. An application for doctors, EEG technicians and patients will be the user interface to carry out this entire process. This application will serve as a clinical tool which aims at serving as an aid for the doctor’s fraternity and not a substitute. It will be in accordance with the clinical code of conduct.