Fast estimation of weak bio-signals using novel algorithms for generating multiple additional data frames
AssigneeEverest Biomedical Instruments Co.
InventorsElvir Causevic, Eldar Causevic
Life of this patent
Estimating the term…
Abstract
A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of de-noising a data set comprised of a new set of frames. The method separately performs a non-linear de-noising operation on each of the component frames and combines the resultant de-noised frames to form a combined resultant de-noised input signal. The method is preferably carried out in a digital processor.
Claims24
A signal processor for de-noising an input signal, comprising:
- a memory for storing the input signal,
- wherein the input signal is divided into a plurality of frames of data points;
- and
- a processor configured to:
- separately perform a non-linear de-noising operation on each of the plurality of frames of data points;
- re-order the frames of data points before de-noising them another time;
- and
- combine all resultant de-noised frames of data points to form a combined resultant de-noised input signal,
- wherein the non-linear de-noising operation includes:
- performing a discrete wavelet transform on each of the plurality of frames of data points.
A signal processor for de-noising an input signal, comprising:
- a memory for storing the input signal,
- wherein the input signal is divided into a plurality of frames of data points;
- and
- a processor configured to:
- separately perform a non-linear de-noising operation on each of the plurality of frames of data points;
- rearrange the plurality of frames of data points to create new frames of data points and perform a non-linear de-noising operation on each of the new frames of data points;
- and
- combine the resultant de-noised frames of data points and the resultant de-noised new frames of data points to form a combined resultant de-noised input signal.
A method for de-noising an input signal comprising:
- dividing the input signal into a plurality of frames of data points;
- performing a separate non-linear de-noising operation on each of the plurality of frames of data points,
- wherein the non-linear de-noising operation includes performing a discrete wavelet transform on each of the plurality of frames of data points;
- re-ordering the frames of data points before de-noising them another time;
- and
- combining the resultant de-noised frames of data points to form a combined resultant de-noised input signal.
A method for de-noising an input signal comprising:
- dividing the input signal into a plurality of frames of data points;
- performing a separate non-linear de-noising operation on each of the plurality of frames of data points;
- rearranging the plurality of frames of data points to create new frames of data points and performing a non-linear de-noising operation on each of the new frames of data points;
- and
- combining the resultant de-noised frames of data points and the resultant de-noised new frames of data points to form a combined resultant de-noised input signal.
A signal processor for removing noise from a signal, comprising:
- a memory for storing an input signal,
- wherein the input signal is divided into a plurality of frames;
- and
- a processor configured to:
- perform a separate discrete wavelet transform on each of the plurality of frames to create an array of wavelet coefficients;
- de-noise the array of wavelet coefficients;
- re-order the wavelet coefficients in the array of wavelet coefficients to create rearranged frames;
- de-noise the rearranged frames;
- and
- combine the de-noised rearranged frames to form a combined resultant de-noised input signal.
A method for removing noise from an input signal comprising:
- dividing the input signal into a plurality of frames;
- performing a separate discrete wavelet transform on each of the plurality of frames to create an array of wavelet coefficients;
- de-noising the array of wavelet coefficients;
- re-ordering the wavelet coefficients in the array of wavelet coefficients to create rearranged frames;
- de-noising the rearranged frames;
- and
- combining the de-noised rearranged frames to form a combined resultant de-noised signal.
Dependencies are inferred from the claim text.