Abstract:
A method of generating a diagnostic index for quantifying the presence or absence of a phenomena which is represented by spectral values generated from acquired electrical signals of the phenomena, comprises the steps of: sorting said spectral values into predetermined bins of ranges of spectral values; summing all of the spectral values in each bin; multiplying the sum of spectral values in each bin by a predetermined coefficient to obtain a bin product; summing said bin products to obtain a diagnostic index which represents a degree of presence or absence of said phenomena.
Abstract:
Disclosed is a system and method to obtain 19 unipolar EEG signals from regions of interest on both the left and right hemispheres of a subject's brain. The system uses high-gain, low-noise amplifiers to maximize the dynamic range for low energy wave components of the signals. Band-pass filtering is used to reduce noise and to avoid aliasing. The system applies commonly used digital signal processing (DSP) techniques to digitize, to low-pass filter (50 Hz), and to decimate the signals. Power spectral, bispectral, and higher-order spectral processing is then performed. In a preferred embodiment, the system divides the most recent 63 seconds of digitized EEG data from each lead into 60 4-second intervals, each with 3 seconds of overlap with the previous interval. For a selected set of derived leads, the system produces auto power spectrum, autobispectrum, and auto higher-order spectrum variables, by using either a Fourier Transform based approach or a parametric cubic fitting approach. Any pair of leads can be combined to compute cross power spectrum, cross bispectrum, and cross higher-order spectrum variables.
Abstract:
A system and method to obtain (19) unipolar EEG signals from electrodes (13) attached to a patient's head (14). The EEG signals are detected by the electrodes and transmitted over a patient cable (15) to the EEG data acquisition and analysis system (12). The system (12) generates all power spectrum, bispecwm, and higher-ord er spectrum arrays. These arrays are then used in conjunction with clinically predetermined coefficient arrays to producx diagnostic indices. These indices are sent to the host com- puter (18) and are displayed on the graphics display (2). Prints output of t he diagnostic index is also available on the hard copy output device (22) which is connected to the microcomputer (18). The operato r interacts with the acquisition and analysis compo- nents of the system by means of a user input device (24) with feedback on th e graphics display (20).
Abstract:
A method of generating a diagnostic index for quantifying the presence or absence of a phenomena which is represented by spectral values generated from acquired electrical signals of the phenomena, comprises the steps of: sorting said spectral values into predetermined bins of ranges of spectral values; summing all of the spectral values in each bin; multiplying the sum of spectral values in each bin by a predetermined coefficient to obtain a bin product; summing said bin products to obtain a diagnostic index which represents a degree of presence or absence of said phenomena.
Abstract:
A method of generating a diagnostic index for quantifying the presence or absence of a phenomena which is represented by spectral values generated from acquired electrical signals of the phenomena, comprises the steps of: sorting said spectral values into predetermined bins of ranges of spectral values; summing all of the spectral values in each bin; multiplying the sum of spectral values in each bin by a predetermined coefficient to obtain a bin product; summing said bin products to obtain a diagnostic index which represents a degree of presence or absence of said phenomena.
Abstract:
A method of generating a diagnostic index for quantifying the presence or absence of a phenomena which is represented by spectral values generated from acquired electrical signals of the phenomena, comprises the steps of: sorting said spectral values into predetermined bins of ranges of spectral values; summing all of the spectral values in each bin; multiplying the sum of spectral values in each bin by a predetermined coefficient to obtain a bin product; summing said bin products to obtain a diagnostic index which represents a degree of presence or absence of said phenomena.
Abstract:
A method of generating a diagnostic index for quantifying the presence or absence of a phenomena which is represented by spectral values generated from acquired electrical signals of the phenomena, comprises the steps of: sorting said spectral values into predetermined bins of ranges of spectral values; summing all of the spectral values in each bin; multiplying the sum of spectral values in each bin by a predetermined coefficient to obtain a bin product; summing said bin products to obtain a diagnostic index which represents a degree of presence or absence of said phenomena.