EEG signal processing for modern wireless patient monitoring

The electroencephalogram (EEG) signal is the biological signal that represents the electrical activity of the brain. Since the Brain and the eyes are in the same conductive environment of the skull, eye-blinks cause ocular artifacts to occur in the recorded EEG signal. A novel Haar wavelet decomposition technique has been used to de-noise these artifacts effectively and selectively. In this paper, the mathematical analysis of the decomposition process, a discussion of the advantages and disadvantages of the technique, some applications in the health industry including Alzheimer´s disease diagnosis and epileptic seizure prediction and advancements in wireless communications to achieve modern patient monitoring are discussed.