Non-local mean filtering for electrophysiological signals

Patent metadata

Field	Value
Publication number	US-9974458-B2
Application number	US-201414158021-A
Country	US
Kind code	B2
Filing date	Jan 17, 2014
Priority date	Jan 17, 2013
Publication date	May 22, 2018
Grant date	May 22, 2018

Abstract

A method can include storing input electrical signal data representing at least a given electrophysiological signal acquired from a patient. A non-local mean filter can be applied to the given electrophysiological signal, the non-local mean filter including a spatial filter component and an intensity filter component. The method can also include controlling parameters to establish weighting of each of the spatial filter component and the intensity filter component in response to a control input. Filtered signal data can be stored based on the applying and the controlling.

First claim

What is claimed is:

1. A system comprising:
a plurality of sensors configured to measure electrophysiological signals from locations distributed across tissue associated with a patient;
memory configured to store machine readable instructions and the measured electrophysiological signals; and
at least one processor configured to access the memory and configured to execute the machine readable instructions, the machine readable instructions comprising:
a non-local mean filter comprising a spatial filter and an intensity filter configured to adaptively average neighboring samples of the electrophysiological signals in a neighborhood for each sample of a given electrophysiological signal;
a filter control configured to set spatial parameter data to configure the spatial filter according to a distance in a sampling space for the given electrophysiological signal and set intensity parameter data to configure weighting of the intensity filter according to an intensity difference between samples in the given electrophysiological signal, the filter control being configured to apply the non-local mean filter to the given electrophysiological signal to provide a recovered signal and a first residual signal, to apply the non-local mean filter to one of the recovered signal and the first residual signal to provide a feature signal and a second residual signal, and to combine the recovered signal with the feature signal to provide a filtered version of the given electrophysiological signal.

2. The system of claim 1 , wherein the filter control is further configured to set at least one of the spatial parameter data and the intensity parameter data in response to a control input.

3. The system of claim 1 , wherein the filter control is further configured to apply the non-local mean filter to at least a substantial portion of each of the electrophysiological signals and thereby provide corresponding filtered signal data.

4. The system of claim 3 , wherein the plurality of sensors include a plurality of electrodes positioned across the patient tissue, the system further comprising:
circuitry configured to acquire the electrophysiological signals from the plurality of electrodes and provide electrical measurement data, corresponding to the electrophysiological signals, that is stored in the memory representing the electrophysiological signals; and
a display configured to provide a graphical representation based on the filtered signal data.

Assignees

• Cardioinsight Technologies Inc

Inventors

• Zeng Qingguo
• Vasudevan Venkatesh
• Ramanathan Charulatha
• Jia Ping

Classifications

• A61B5/316

  Modalities, i.e. specific diagnostic methods · CPC title

• A61B5/307 Primary

  specially adapted for particular uses · CPC title

• A61B5/04004

  Human Necessities · mapped topic

• A61B5/7203 Primary

  for noise prevention, reduction or removal · CPC title

• A61B5/04017 Primary

  Human Necessities · mapped topic