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Electroencephalography (EEG) is a method used for measuring electrical impulses, generated in the cerebral cortex, by using electrodes located in different positions on the scalp. In this work, EEG signals related to imagined speech of letters a and b are acquired by the Emotiv EPOC+ headset-a relatively low cost electroencephalogram with 14electrodes (channels)-from three subjects. A multi-step process is utilized to preprocess the raw EEG data. The data are first preprocessed using the digital signal processing (DSP) techniques of filtering to limit the effects of noise and artifacts, on the one hand and to determine the relevant channels to be used. The preprocessed signals are further analyzed with Fast Fourier Transform (FFT), principal component analysis (PCA) for feature extraction, and k-nearest neighbor (KNN) for classification. Additionally, a calibration test is developed to make the recognition process subject specific. The results for each step are presented and performance is evaluated.

A cascade digital scattering linear model of the cochlea, suitable for Kemp echo cochlea characterization, is developed. This model stems from a unidimensional transmission line model in which nonuniform and loss properties are included. Its lattice structure is obtained by rephrasing the model equations in terms of incident and reflected scattering waves. A characterization of the cochlea, through the estimation of the width, the stiffness, and the damping of the basilar membrane, is made with the model and the results compared to data available in the literature.

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We present a MEMS. switched current mode circuit that realizes a multi-ear type system. A novel sensor. acts as a pressure transduction mechanism for input to cochlear-type processing. Ztransform computation of fluid motion in the tubules of the cochlea is realized with a switched current lattice cascade. We also describe how an array of MEMS-SI circuits can be placed for use as a multisensor. intended for sound-beam forming. accomplished with n-aural hearing.

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