Brain Computer Interface is a technology which helps us to interface human brain with the computer. The signal processing concepts play an important role in dealing with the raw brain signals. Recent trends in signal processing such as proximal splitting and Hilbert spacing method can be used to address some of the problems in the field of BCI. The field of Brain Computer Interface research and development has since focused primarily on neuroprosthetics applications that aim at restoring damaged sight, hearing and movement. The brain normally produces tiny electrical signals that come from the brain cells and nerves which communicate with each other. With the help of electroencephalograph (EEG) machine, these electrical signals can be detected and recorded. Electroencephalograph (EEG) is the recording of brain activity. It measures the voltage fluctuations due to ionic current flows within the neurons of the brain. In clinical terms, EEG refers to the recording of the brain's electrical activity over a short period of time, usually 30–40 minutes as recorded from multiple electrodes placed on scalp. Diagnostic applications mostly focus on the spectral content of EEG, the type of neural oscillations that can be observed in EEG signals.

1. IEEE paper titled ' A New Scheme in EEG Signals Processing in Brain-Computer Interface Systems' by Andrzej majkowski, marcin kolodreij, Warsaw University of technology, Warsaw, Poland.
2. 2010, 10th IEEE International Conference on Advanced Learning Technologies. By Katie Crowley, Aidan Sliney, Ian Pitt, Dave Murphy Department of Computer Science University College Cork Cork, Ireland
3. Brain waves feature extraction using wavelet transform by DR. Abhishek Vaish ,Associate Professor Information Security Lab Indian Institute of Information Technology-Allahabad
4. Application and Contrast in Brain-Computer Interface between Hilbert-Huang Transform and Wavelet Transform by Manling Huang, Pingdong Wu, Ying Liu, Luzheng Bi, and Hongwei.
5. BRAIN COMPUTER INTERFACE AND ITS TYPES - A STUDYAnupama. H. S1 , N. K. Cauvery2 , Lingaraju. G. M3 1,2Department of Computer Sc. and Engineering, R. V. College of Engg. , Bangalore, India 3 Department of Information Sc. , M. S. Ramaiah Institute of Tech. , Bangalore, India
6. Brain Computer Interface System for Mind Controlled Robot using Bluetooth by Siliveru Ramesh, M. Gopi Krishna and Madhu Nakirekanti
7. Processing and spectral analysis of the raw EEG signal from the Mind Wave by Wojciech SA?ABUN West Pomeranian University of Technology, Szczecin
8. Kale Swapnil T, Mahajan Sadanand P, Rakshe Balu G, Prof. N. K. Bhandari "Robot Navigation control through EEG Based Signals" International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3 Issue 3 March-2014 Page No. 5105-5108.
9. Luzheng Bi, Xin-An Fan, Yili Liu "EEG-Based Braincontrolled Mobile Robots: A survey", Human-Machine Systems, IEEE Transactions on (Volume: 43, Issue: 2).
10. Evolving Signal Processing for Brain–Computer Interfaces By Scott Makeig, Christian Kothe, Tim Mullen, Nima Bigdely-Shamlo, Zhilin Zhang, and Kenneth Kreutz-Delgado, Senior Member IEEE.

Electro-encephalograph (eeg) Brain Computer Interface (bci) Mnd (motor Neuron Disease).