Apparatus and method for determining variations in measured physical parameters of signal-generators
AssigneeAbratech Corporation
InventorsDon Lee Jewett, Zhi Zhang
Life of this patent
Estimating the term…
Abstract
The present invention encompasses apparatus and methods for determining variations in estimated signal-generator parameters derived from signals created by signal-generators, such as signal-generators within organs of the body, such as brain, head, spinal cord, and muscles. The present invention is particularly useful when more than one signal generator is non-zero in part or all of the time-interval analyzed. The parameters of a signal-generator that may be of interest include, but are not limited to, magnitude, location, and/or orientation, over single or multiple points in time.
Claims34
An apparatus for determining variations in estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes, said signals being sensed at one or more selected points in time, said apparatus comprising:
- (a) means for sensing said signals at at least one of said physical locations;
- (b) storing means coupled to said sensing means for storing the magnitudes of said signals at least one point in time;
- (c) variation means associated with said storing means for generating variation in the estimated signal-generator parameters from said stored magnitudes, wherein variation in estimated signal-generator parameters is determined by variations in E and F factors from an EF-space;
- and,
- (d) outputting means for outputting the estimated signal-generator parameters and the variations in the estimated signal generator parameters.
A method for determining variations in the estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes being sensed at one or more selected points in time, said method comprising:
- (a) sensing said signals at at least one of said physical locations;
- (b) storing an input of magnitudes of the signals at, at least, one point in time;
- (c) determining variations in estimated signal-generator parameters;
- wherein the step of determining variations in estimated signal-generator parameters is performed by varying E and F factors from EF-space;
- end,
- (d) outputting the estimated signal generator parameters and the variations of the estimated signal-generator parameters.
An apparatus for evaluating a given computational model by determining variations in estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes and a signal space, said signals having magnitudes being sensed at one or more selected points in time, said apparatus comprising:
- (a) means for sensing said signals at at least two of said physical locations;
- (b) storing means coupled to said sensing means for storing the magnitudes of said signals at at least one point in time;
- (c) variation means associated with said storing means for estimating a first set of signal-generator parameters using said stored signal magnitudes and said given computational model,
- wherein said first set of estimated signal-generator parameters include a set of weighting functions;
- (d) first estimating means associate with said variation means for estimating the signal space from said signal;
- (e) correcting means associated with said first estimating means for projecting said first set of weighting functions onto said signal space to yield a second, corrected set of weighting functions;
- (f) means associated with said correcting means for selecting an E,F point;
- (g) construction means associated with said selecting means for constructing magnitude functions corresponding to said E,F point;
- (h) generating means associated with said construction means for generating a second signal from said second set of weighting functions and said magnitude functions;
- (i) second estimating means associated with said generating means for estimating a second set of signal-generator parameters using said second generated signal and said given computational model;
- (j) difference means associated with said first estimating means and said second estimating means for computing the difference between said first set of signal-generator parameters and said second set of signal-generator parameters.
An method for evaluating a given computational model by determining variations in estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes and a signal space, said signals having magnitudes being sensed at one or more selected points in time, said method comprising:
- (a) sensing said signals at at least two of said physical locations;
- (b) storing the magnitudes of said signals at at least one point in time;
- (c) estimating a first set of signal-generator parameters using said stored signal magnitudes and said given computational model,
- wherein said first set of estimated signal-generator parameters includes a set of weighting functions;
- (d) estimating the signal space from said signal;
- (e) projecting said first set of weighting functions onto said signal space to yield a second, corrected set of weighting functions;
- (f) selecting an E,F point;
- (g) constructing magnitude functions corresponding to said E,F point;
- (h) generating a second signal from said second set of weighting functions and said magnitude functions;
- (i) estimating a second set of signal-generator parameters using said second generated signal and said given computational model;
- (j) computing the difference between said first set of signal-generator parameters and said second set of signal-generator parameters.
An apparatus for evaluating a given computational model by determining variations in estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes and a signal space, said signals having magnitudes being sensed at one or more selected points in time, said apparatus comprising:
- (a) sensing means for sensing said signals at at least two of said physical locations;
- (b) storing means associated with said sensing means for storing the magnitudes of said signals at at least one point in time;
- (c) estimating means associated with said storing means for estimating a first set of signal-generator parameters using said stored signal magnitudes and said given computational model,
- wherein said first set of estimated signal-generator parameters includes a set of weighting functions corresponding to said estimated signal generator parameters and said physical locations;
- (d) correcting means associated with said estimating means for correcting the estimated signal generator parameters based upon the said stored signal magnitudes to generate a second set of weighting functions;
- (e) manipulating means associated with said correcting means for manipulating said magnitude functions of said corrected signal generator parameters to generate a second signal from said second set of weighting functions and said manipulated magnitude functions;
- (f) second estimating means associated with said manipulating means for estimating a second set of signal-generator parameters using said second generated signal and said given computational model;
- (g) difference means associated with said first and second estimating means for computing the difference between said first set of signal-generator parameters and said second set of signal-generator parameters.
A method for evaluating a given computational model by determining variations in estimated signal-generator parameters of a plurality of signal-generators, said signal-generators causing signals at a plurality of physical locations, said signals having magnitudes and a signal space, said signals having magnitudes being sensed at one or more selected points in time, said method comprising:
- (a) sensing said signals at at least two of said physical locations;
- (b) storing the magnitudes of said signals at at least one point in time;
- (c) estimating a first set of signal-generator parameters using said stored signal magnitudes and said given computational model,
- wherein said first set of estimated signal-generator parameters includes a set of weighting functions corresponding to said estimated signal generator parameters and said physical locations;
- (d) correcting the estimated signal generator parameters based upon the said stored signal magnitudes to generate a second set of weighting functions;
- (e) manipulating said magnitude functions of said corrected signal generator parameters to generate a second signal from said second set of weighting functions and said manipulated magnitude functions;
- (f) estimating a second set of signal-generator parameters using said second generated signal and said given computational model;
- (g) computing the difference between said first set of signal-generator parameters and said second set of signal-generator parameters.
Dependencies are inferred from the claim text.