Patent References 3894348 Electrocardiographic means and method for detecting potential ventricular tachycardia System and method for predicting ventricular tachycardia by adaptive high pass filter System and method for predicting ventricular tachycardia with a gain controlled high pass filter System and method for predicting ventricular tachycardia by derivative analysis High resolution ECG waveform processor Method of selectively displaying data Computer information retrieval using latent semantic structure Methods and arrangements for signal reception and parameter estimation Parametric image reconstruction using a high-resolution, high signal-to-noise technique InventorApplicationNo. 058571 filed on 05/06/1993US Classes:600/508, Heart128/901SUPPRESSION OF NOISE IN ELECTRIC SIGNALExaminersPrimary: Kamm, William E.Assistant: Getzow, Scott M. Attorney, Agent or FirmInternational ClassA61B 005/040.2AbstractA medical processing and display system that may be used with a medical monitoring device. This system enhances the medical data it receives. Once received, the medical data is reformatted into a two-dimensional matrix, X. A history database and other information are concatenated with the two-dimensional matrix. The concatenated matrix is decomposed using singular value decomposition ("SVD") to obtain corresponding left and right singular vectors, L and R, respectively, and singular values D. Selected singular vectors are transformed to their autocorrelation matrix form, which are concatenated, then decomposed using SVD to their corresponding singular vectors P, Pt, and singular values D. Certain of the singular vectors P are selected to filter out signal components of interest. The singular values D of the autocorrelation matrix are modified and used to adjust the weights of the associated singular vectors P. The weighted singular vectors are then combined and the resulting coefficients are used as a FIR filter to enhance the original singular vectors L and/or Rt to enhance singular values Le, Re. Enhanced medical data containing the features of interest Xe is generated from the enhanced original matrix singular values Le and Re, and modified singular values De, and the results may be displayed to a diagnotician in various formats.Other References
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