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.

Machine learningPlanningAI hardwareA61B 5/14551A61B 5/7257G06F 2218/02Y10S 128/901

AI classification

Machine learning1.00
AI hardware0.99
Planning0.99
Vision0.11
Knowledge representation0.00
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

SIEMENS AKTIENGESELLSCHAFT

assignment · 284520780

From the same owner

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