ADAPTIVE FILTERING OF PHYSIOLOGICAL SIGNALS USING A MODELED SYNTHETIC REFERENCE SIGNAL
Patent №
US 6,135,952
Granted
2000-10-24
Filed 1999
Owner
SIEMENS AKTIENGESELLSCHAFT
Lab
—
AI components
3
ml · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
09240122
An adaptive filtering method and apparatus for reducing the level of an undesired noise component in an acquired physiological signal having a desired signal component. The acquired physiological signal is applied to one input of the adaptive filter, and a synthetic reference signal that is modeled so as to exhibit a correlation with the desired signal component is applied to another input of the adaptive filter. Thereafter, in a feedback manner, the adaptive filter iteratively adjusts the modeled synthetic reference signal so as to progressively generate a more accurate approximation of the desired signal component in the adaptive filter, which approximation becomes a reconstruction of the acquired physiological signal wherein the level of the undesired noise component is reduced.
AI classification
Ownership
SIEMENS AKTIENGESELLSCHAFT
assignment · 284520780