EEG Signal Processing For Neurological Disease - Alzheimer's

Author

Vignesh Sukavanam

Abstract

The EEG is a signal derived from the activity of complex neurons near the surface of the brain. Continuous reading of EEG can play a vital role in the detection of many central nervous system disorders, such as Alzheimer’s disease, Epilepsy and brain damage.

Alzheimer’s is a progressive, neuro-degenerative disorder that attacks brain and results impaired memory, thinking and behavior. It causes death in adults, after heart disease, cancer and stroke.

The aim of the project is to process the EEG signals from the human subjects for the early detection of Alzheimer’s disease. Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software will be chosen for the processing application. First the EEG frequency bands alpha, theta, delta and beta are separated. The processing is done by taking a particular age group under consideration. Since the EEG signals are sensitive to sensory organs, it may contain several artifacts. The artifacts may be due to winking of eyes, hearing of noise, continuous thinking, sweating, feeling the touch of others etc. Suitable algorithms will be developed to distinguish the disorders and artifacts. The process involves various image processing techniques. LabVIEW help us in framing these algorithms avoiding the usage of complex codes.