Detection of Alzheimer’s disease using BCI

Abstract

Alzheimer’s disease is a neuro degenerative and progressive Disease which has no cure that is it worsens over time. This Disease is Observed in people above 65years of age and it is not a normal part of aging. Difficulty in remembering newly learned information is the most common early symptom shown by Alzheimer patient and this is because Alzheimer Disease initially affects learning part of the brain. As the Disease progress through the brain it heads to increasingly severe symptoms like disorientation, confusion about events, more serious memory loss, behavioral and mood change, trouble in speaking and walking. Our project is meant to be a part of the progress of humanity where we detect Alzheimer’s Disease making use of BCI, IOT and machine learning techniques. Here patient’s is asked some questions and we observe the answers the patients give. We make use of BCI which uses EEG signals from patient’s brain during this activity. This data is given to IOT devices and apply a machine learning technique which detects Alzheimer’s in a patient. The delay in EEG signals would help us to categorize patients whether they have Alzheimer’s or not.