Patent
Adaptive filter using continuous cross-correlation
TLDR
In this paper, the adaptive filter coefficients are updated in response to these correlations so as to minimize correlation of the resultant signal with the noise signal, which is achieved by superimposing on the filter input signal a known noise signal.Abstract:
Coefficients of an adaptive filter are updated continuously during the filter's normal operation. This is achieved by superimposing on the filter input signal a known noise signal. At the filter's output, a counterpart of this known noise signal is subtracted and the resultant signal is cross correlated with past samples of the noise signal. The filter coefficients are then updated in response to these correlations so as to minimize correlation of the resultant signal with the noise signal.read more
Citations
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Patent
Systems and methods for examining heart tissue employing multiple electrode structures and roving electrodes
TL;DR: In this paper, an analog or digital processing element conditions one of the multiple electrodes and the roving electrode to emit a pacing signal while the other one of them records pacing electrograms occurring as a result of the pacing signal.
Patent
Systems and methods for acquiring making time-sequential measurements of biopotentials sensed in myocardial tissue
TL;DR: In this paper, the authors described a method for generating a composite signal derived from biopotentials sensed in myocardial tissue, where the composite signal provided a diagnostic indicator, where at least one biopotential sensed at a first group of tissue sites during a first time interval was not sensed as part of the second set of signals.
Patent
Systems and methods for filtering artifacts from composite signals
TL;DR: Analog or digital systems and methods filter an artifact from a composite signal, which comprises sample values arranged with respect to time as mentioned in this paper, and generate a filter output comprising the sample values occupying the ordered position, z, of each permutation in time-sequence with the composite signal.
Patent
Systems and methods for adaptive filtering artifacts from composite signals
Dorin Panescu,James G. Whayne +1 more
TL;DR: In this paper, an analog or digital system or method was proposed to filter an artifact from a signal derived from a biological event comprising sample values arranged with respect to time, by generating a variable expressing a template of the artifact and reducing the derived biological signal by the variable to derive a filtered derived biological signals.
Patent
Systems and methods for analyzing biopotential morphologies in heart tissue to locate potential ablation sites
TL;DR: In this article, the authors used a template of a biopotential event of known cause in body tissue and compared it to a sample of a cardiac event externally triggered in tissue.
References
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Patent
Adaptive recursive least mean square error filter
TL;DR: In this article, an adaptive recursive filter is disclosed which comprises first and second adaptive transversal filters selectively coupled together to minimize the mean square error of the output data of recursive filter based upon observations of input data to the recursive filter.
Patent
Digital adaptive finite impulse response filter with large number of coefficients
TL;DR: A digital adaptive finite impulse response (AFIR) filter is composed of two or more separate filter units as mentioned in this paper, where the first filter unit computes response samples h₀ - h n+1 in response to input signal samples to provide a partial estimated response during each sampling period.
Patent
Digital filter employing parallel processing
TL;DR: In this paper, an adaptive digital filter can be implemented on a single Very Large Scale Integrated (VLSI) circuit silicon chip and the Least Mean Square adaptive filter algorithm can be performed by parallel processing during a single clock cycle.
Patent
Correction processor of self-adaptive filters
TL;DR: In this paper, a self adaptive filter effects a distribution of the power density spectrum of two signals which are correlated in the filter adaptation process so that the filter can provide optimum adaption for a wide range of input signals.