Medical radar method and system

Patent metadata

Field	Value
Publication number	US-2016135694-A1
Application number	US-201414896434-A
Country	US
Kind code	A1
Filing date	Jun 6, 2014
Priority date	Jun 7, 2013
Publication date	May 19, 2016
Grant date	—

Abstract

Radar is used to measure internal body motion. Radar reflections from the body are measured using a range of frequencies that includes a higher frequency band and a lower frequency band. In the higher frequency band, e.g. above 24 GHz, the radar signal hardly penetrates the skin, whereas it penetrates deeper into the chest in the lower frequency band e.g. below 10 GHz. Chest surface motion is estimated by means of the measurements using the higher frequency band. Effects of the estimated chest surface movement are subtracted from the measurements from the lower frequency band. The resulting response after removal is used to fit a model of a heart. Fitting may be performed in a series of fitting steps, including fitting parameters X of a geometric model to the measurements; determining a least square solution of fit errors between the measurements and a Taylor expansion from the grid model obtained with the fitted parameters X as a function of adaptions of the grid model; and subsequently determining a further adaptation of the grid model that best fits the measurements.

First claim

1 . A method of measuring internal body motion using radar, the method comprising
measuring radar reflections using a range of frequencies that includes a higher frequency band and a lower frequency band; estimating chest surface motion using the measurements using the higher frequency band; removing effects of the estimated chest surface movement from the measurements from the lower frequency band.

2 . A method according to claim 1 , wherein the higher radar frequency band is a 24 Ghz band, 60 GHz band or 76 Ghz band and the lower radar frequency band is in a 2-10 Ghz band.

3 . A method according to claim 1 , wherein measuring the radar reflections comprises performing measurements in multiple discrete radar frequency bands.

4 . A method according to claim 1 , wherein the multiple radar frequency bands include a 2-10 Ghz band, a 24 Ghz band, a 60 GHz band and a 76 Ghz band.

5 . A method according to claim 1 , any one of the preceding claims, comprising fitting a model of a heart to the measurements.

6 . A method according to claim 4 , wherein said fitting comprises
fitting parameters X of a geometric model to the measurements; determining a least square solution of fit errors between the measurements and a Taylor expansion from the grid model obtained with the fitted parameters X as a function of adaptions of the grid model; determining a further adaptation of the grid model that best fits the measurements.

7 . A method according to claim 5 , comprising displaying the model obtained by said fitting.

8 . A method according to claim 1 ,
selecting earliest received reflection peaks from the radar reflections of radar transmissions using the higher frequency band; estimating parameters of the selected reflections peaks; subtracting a modeled signal that corresponds to a peak with the estimated parameters from the measurements from the lower frequency band.

9 . A method to claim 7 , comprising tracking the received peaks in response to radar transmissions at successive time points and selecting the earliest peaks from peaks that lie along a closest detected track in a distance range of the radar.

10 . A method to claim 7 , comprising fitting a model of a heart to the result of said subtraction.

11 . A method according to claim 10 , wherein said fitting comprises
using inverse modeling from the from the measurements from the lower one the frequency bands to which said subtracting has been applied to determine parameters of a model that defines locations of elements of a human heart as a function of the parameters.

12 . A method according to claim 11 , wherein said fitting comprises
determining a least square solution of fit errors between the measurements from the lower one the frequency bands to which said subtracting has been applied and a linear expansion of the effect of displacements of locations of elements from the locations defined by said model using the parameters obtained by said inverse modeling; performing a search for displacements of locations of elements that minimize an error measure for a difference between the measurements from the lower one the frequency bands to which said subtracting has been applied and predicted measurements using said displacements, using the displacements obtained from the least square solution as a starting point for the search.

13 . A method to claim 9 , wherein fitting of the displacement is performed under constraints that limit or reduce differences between displacements of adjacent elements.

14 . A computer program product comprising instructions for a programmable processor that, when executed by said processor will cause the processor to execute the processing of the measured radar reflections claimed in claim 1 .

15 . A radar system for monitoring internal motion within the chest of a body, the radar system comprising a radar signal generator coupled to a transmission antenna and cause transmission of radar signals in a range of frequencies that includes a higher frequency band and a lower frequency band;
at least one receiver for receiving radar reflections in the higher frequency band and the lower frequency band; a signal processing system configured to estimate chest surface motion using the measurements using the higher frequency band and to remove effects of the estimated chest surface movement from the measurements from the lower frequency bands.

16 . A radar system according to claim 15 , wherein the signal processing system is configured to fit a model of a heart to the measurements.

Assignees

• TNO

Inventors

• Van Dorp Philip

Classifications

• A61B5/7275

  Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor · CPC title

• A61B5/7207

  of noise induced by motion artifacts · CPC title

• A61B2562/0228

  Microwave sensors · CPC title

• A61B5/02028 Primary

  Determining haemodynamic parameters not otherwise provided for, e.g. cardiac contractility or left ventricular ejection fraction · CPC title

• A61B5/7278

  Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title