Analysis of Depression Level of Brain Signal Using Signal Processing Technique

K. Lalitha, Avisha Pant, Tripti Shukla and Somya Subhalakshmi Trivedi

Analysis of mind waves assumes a significant job in conclusion of various brain signals. Among the main issues depression and mental disorder is the main cause of suicides. Diagnosis of depressive disorder is very important in early treatable stage as it is a major cause of sleep anarchy and alcohol intoxication. In this project we take live data sets of patients using EEG sensor. The electrodes are placed on the lobes and the nassion region and using mplab software connected to pics3kit, the waveforms are displayed and the data is stored in cloud. Using the different signals from the frequency spectrum (alpha, beta and delta), stress levels of brain signal can be detected. Basic role of brain computer interference also referred to as mind machine interference is that it acts as a bridge between the human brain and the computer system.

Volume 12 | 05-Special Issue

Pages: 1054-1060

DOI: 10.5373/JARDCS/V12SP5/20201856