Development of a Low-Cost and User-Friendly Neurofeedback Tool to treat Depression, Insomnia, Anxiety, Pain and ADHD using an Arduino and Android Application

摘要

The main objective of the paper is to achieve the implementation of an economical and user-friendly neurofeedback tool that can be used to treat pain, addiction, aggression, anxiety, autism, depression, Schizophrenia, epilepsy, headaches, insomnia, Tourette syndrome, Attention Deficit Hyperactivity Disorder (ADHD), also used for the treatment of brain damage caused by stroke, trauma, and other causes in developing countries using EEG signal analysis. The analysis and the detection of the EEG can be achieved with the help of a home-made neurofeedback-built system. The technical and clinical EEG spectrum can be subdivided into - Alpha, Beta, Theta and Gamma ranges. The report will focus on the frequencies of the Beta band in accordance to the analysis of the power values and the output of the EEG analysis will be required to control the video and-or audio feedback. [22].