Introduce therapeutic applications of EEG & QEEG in health and disease Know about Neurofeedback an emerging modality of treatment of disease where Drugs and surgery has limited effects. Overview Neurofeedback World Market size and Bangladesh Context Identify role of Engineers in the application of Neurofeedback and other Advanced Medical Brain imaging and Therapeutics. EEG stands for “electroencephalography” which is an electrophysiological process to record the electrical activity of the brain. An electroencephalogram (EEG) is a recording of brain activity. EEG measures changes in the electrical activity produced by the brain. Voltage changes come from ionic current within and between brain cells called neurons. The electrodes of an EEG device capture electrical activity expressed in various EEG frequencies using an algorithm called a Fast Fourier Transform (FFT), these raw EEG signals can be identified as distinct waves with different frequencies. Frequency, which refers to the speed of the electrical oscillations, is measured in cycles per second — one Hertz (Hz) is equal to one cycle per second. Brainwaves are categorized by frequency into four main types: Beta, Alpha, Theta and Delta. Quantitative igital processing of EEG signals consists of different components: signal acquisition unit, feature extraction unit, and a decision algorithm. The input to the system is an EEG signal acquired from the scalp, brain surface, or brain interior. The signal acquisition unit is represented by electrodes whether they are invasive or non-invasive. The feature extraction unit is a signal processing unit aiming to extract discriminative features from channel(s). The decision unit, in brain computer interface (BCI) for example, is a hybrid unit with the purpose of classification, decision-making, and passing the decisions to external devices outputting the intention of the subject. Electroencephalography (qEEG) is a procedure that processes the recorded EEG activity from a multi-electrode recording using a computer. This multi-channel EEG data is processed with various algorithms, such as the “Fourier” classically, or in more modern applications “Wavelet” analysis. The digital data is statistically analyzed, sometimes comparing values with “normative” database reference values. The processed EEG is commonly converted into color maps of brain functioning called “Brain maps”. Quantitative EEG (qEEG) is the analysis of the digitized EEG, and in lay terms this sometimes is also called “Brain Mapping”. In Neurofeedback (NF) the current parameters of EEG recorded from a subject’s head is presented to the subject through visual, auditory, or tactile modality, where the subject alters these parameters to reach a more efficient mode of brain functioning. Over the last 40 years, neurofeedback has been used to treat various neurological and psychiatric conditions, and to improve cognitive function in various contexts.