This paper presents a power spectral pattern analysis method for quasi-brain-death EEG based on Empirical Mode Decomposition (EMD) under the condition of unknowing the clinical symptoms of patients. EMD method is a time-frequency analysis method for analyzing the nonlinear and non-stationary data. In this paper,we decompose a single-channel recorded EEG data into a number of components with different frequencies, we calculate the power spectral or energy of the decomposed components in a suitable frequency band. Based on the EEG power spectral analysis, the patients are classified into two categories: existence of the brain activities or absence of the brain activities. The experimental results illustrate the effectiveness of our proposed method.
[Show abstract][Hide abstract] ABSTRACT: . Simultaneous diagonalization of several matrices can be implemented by a Jacobi-like technique. This note gives the required Jacobi angles in close form. Key words. Simultaneous diagonalization, Jacobi iterations, eigenvalues, eigenvectors, structured eigenvalue problem. AMS subject classifications. 65F15, 65-04. Introduction. Simultaneous diagonalization of several commuting matrices has been recently considered in , mainly motivated by stability and convergence concerns. Exact or approximate simultaneous diagonalization was also independently introduced as a solution to a statistical identification problem  (see  for a later paper in English). The simultaneous diagonalization algorithm described in these papers is an extension of the Jacobi technique: a joint diagonality criterion is iteratively optimized under plane rotations. The purpose of this note is to complement  by giving a close form expression for the optimal Jacobi angles. 1. Jacobi angles in close form. ...
SIAM Journal on Matrix Analysis and Applications 10/1995; 17(1). DOI:10.1137/S0895479893259546 · 1.59 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The brain-death is defined as the cessation and irreversibility of all brain and brain-stem function. A brain-death diagnosis
is made according to precise criteria and in a well-defined process. Since the process of brain-death determination usually
takes a longer time and with a risk (e.g. shortly remove the breath machine in a spontanuous respiration test), therefore,
a practical, safety and rapid method is expected to be developed in the pre-test of the quasi-brain-death patient. This paper
presents a practical EEG examination method associated with a robust data analysis method for the pre-testing of a quasi-brain-death
patient. The developed EEG examination method is applied in the bedside of patient using a small number of electrods. The
developed single-trial data analysis method is used to reduce the power of additive noise and to decompose the overlapped
brain and interference signals.
Knowledge-Based Intelligent Information and Engineering Systems, 10th International Conference, KES 2006, Bournemouth, UK, October 9-11, 2006, Proceedings, Part III; 01/2006
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