SYSTEMS AND METHODS FOR MEASUREMENT OF DEPTH OF BREATH AND PARADOXICAL BREATHING

• US 20100292568A1
• Filed: 05/28/2010
• Published: 11/18/2010
• Est. Priority Date: 04/03/2008
• Status: Abandoned Application

• Current Assignee: Kai Medical, Inc.
• Original Assignee: Kai Medical, Inc.
• Inventors: Yamada, Shuhei, Hourani, Charles El, Park, Byung Kwon, Droitcour, Amy
• Application Number:
  US12/790,769
• Publication Number:
  US 20100292568A1
• Time in Patent Office: Days
• US Class Current: 600/425
• CPC Class Codes: A61B 2560/0204 of power management
• CPC Class Codes: A61B 5/05 Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves impedance plethysmography A61B5/0295; measuring movement of the entire body or parts thereof A61B5/11; detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof A61B5/24
• CPC Class Codes: A61B 5/1102 Ballistocardiography
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1114 Tracking parts of the body
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/113 occurring during breathing
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: G01S 13/534 based upon amplitude or phase shift resulting from movement of objects, with reference to the surrounding clutter echo signal, e.g. non coherent MTi, clutter referenced MTi, externally coherent MTi
• CPC Class Codes: G01S 13/56 for presence detection presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26
• CPC Class Codes: G01S 13/583 using transmission of continuous unmodulated waves, amplitude-, frequency-, or phase-modulated waves and based upon the Doppler effect resulting from movement of targets
• CPC Class Codes: G01S 13/88 Radar or analogous systems specially adapted for specific applications electromagnetic prospecting or detecting of objects, e.g. near-field detection, G01V3/00
• CPC Class Codes: G01S 7/2886 using I/Q processing
• CPC Class Codes: G01S 7/358 using I/Q processing
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

A radar-based physiological motion sensor is disclosed. Doppler-shifted signals can be extracted from the signals received by the sensor. The Doppler-shifted signals can be digitized and processed subsequently to extract information related to the cardiopulmonary motion in one or more subjects. The information can include respiratory rates, heart rates, waveforms due to respiratory and cardiac activity, direction of arrival, abnormal or paradoxical breathing, etc. In various embodiments, the extracted information can be displayed on a display.

Claims

1. A method of sensing motion using a motion sensor, the method comprising:

generating electromagnetic radiation from a source of radiation, wherein the frequency of the electromagnetic radiation is in the radio frequency range;

transmitting the electromagnetic radiation towards a subject using one or more transmitters;

receiving a radiation scattered at least by the subject using one or more receivers;

extracting a Doppler shifted signal from the scattered radiation;

transforming the Doppler shifted signal to a digitized motion signal, said digitized motion signal comprising one or more frames, wherein the one or more frames comprise time sampled quadrature values of the digitized motion signal;

processing said one or more frames to distinguish, at least in part, information corresponding to the cardiopulmonary movement of the subject or a part of the subject, substantially separate from non-cardiopulmonary motion or other signal interference;

estimating the subject'"'"'s depth of breath from the cardiopulmonary movement information; and

communicating the information to an output system that is configured to perform an output action.

2. The method of claim 1, wherein the estimation of depth of breath comprises:

obtaining information about the absolute time-varying chest position by extracting the time-varying phase difference between the transmitted radiation and the received radiation and multiplying by a constant conversion factor;

identifying maximum inhale points and maximum exhale points on the absolute time-varying chest position; and

determining the difference in position between the maximum inhale points and the maximum exhale points.

3. The method of claim 1, wherein the estimation of depth of breath comprises:

estimating the center of the circle on which the samples lie in the complex plane;

identifying the endpoints of the arc on which the samples lie;

determining the central angle subtended by the arc; and

multiplying the angle by a constant conversion factor.

4. The method of claim 3, wherein the end-points of the arc are identified by one or more of:

identifying the points of minimal velocity, identifying the center of high-density clusters of samples, or identifying points with large changes in direction.

5. The method of claim 1, wherein the estimation of depth of breath comprises counting the number of rotations of the signal around the center in the complex plane;

and multiplying this number by a constant conversion factor.

6. The method of claim 1, wherein information corresponding to the cardiopulmonary movement of the subject includes one or more of the group including:

respiratory rate, pulse rate, inhale time to exhale time ratio, and irregularity of respiration.

7. The method of claim 1, wherein the output action includes alarms for one or more of the group consisting of:

depth of breath below a threshold, depth of breath above a threshold, depth of breath multiplied by a respiratory rate above a threshold, and a depth of breath multiplied by a respiratory rate below a threshold.

8-67. -67. (canceled)

68. A method of estimating the presence or absence of paradoxical breathing using a motion sensor, the method comprising:

generating an electromagnetic radiation from a source of radiation, wherein the frequency of the electromagnetic radiation is in the radio frequency range;

transmitting the electromagnetic radiation towards a subject using one or more transmitters;

receiving a radiation scattered at least by the subject using one or more receivers;

extracting a Doppler shifted signal from the scattered radiation;

transforming the Doppler shifted signal to a digitized quadrature motion signal, said digitized quadrature motion signal comprising one or more frames, wherein the one or more frames comprise time sampled quadrature values of the digitized motion signal;

detecting a non-cardiopulmonary motion to identify from the digitized motion signal one or more non-cardiopulmonary motion detection events or other signal interference events corresponding to the presence or absence of a non-cardiopulmonary motion or other signal interference;

executing by a processor a paradoxical breathing indication module to estimate the presence or absence of paradoxical breathing; and

providing information related to at least the presence, absence, or degree of paradoxical breathing.

69. The method of claim 68, wherein the paradoxical breathing indication comprises:

evaluating the distribution of samples in the complex plane and distinguishing an arc or a line from an ellipse, circle, crescent-moon shape, kidney-bean shape, egg shape, figure-8 or ribbon shape, or other shape that is not a line or arc, indicating the absence of paradoxical breathing is a line or arc is detected; and

indicating the presence of paradoxical breathing if a shape other than a line or arc is detected.

70. The method of claim 68, wherein the paradoxical breathing indication comprises comparing the trajectory in the complex plane during inhalation with that during exhalation;

indicating the absence of paradoxical breathing if the two are similar; and

indicating the presence of paradoxical breathing if the two are significantly different.

71. The method of claim 68, wherein the paradoxical breathing indication comprises:

segmenting the shape in the complex plane by determining the best-fit line for each frame (segments of the data);

calculating an orientation vector pointing in the direction of movement in the complex plane for every frame;

calculating the change in phase between each consecutive orientation vector;

determining whether the change in phase between each consecutive orientation vector is positive or negative;

indicating the presence of paradoxical breathing if either positive phase change or negative phase change is dominant; and

indicating the absence of paradoxical breathing if the phase change is approximately evenly distributed between positive and negative.

72. The method of claim 68, wherein the paradoxical breathing indication comprises fitting the samples in the complex plane to an arc that subtends an angle no greater than a threshold value.

73. The method of claim 72, wherein the threshold angle is approximately 170 degrees.

74. The method of claim 72, wherein the threshold is determined based on information in the patient'"'"'s medical record.

75. The method of claim 68, wherein the paradoxical breathing indication comprises fitting the samples in the complex plane to an ellipse;

determining the eccentricity of the ellipse;

indicating the presence of paradoxical breathing if the eccentricity of the ellipse is above a threshold; and

indicating the absence of paradoxical breathing if the eccentricity of the ellipse is below a threshold.

76. The method of claim 70, wherein comparing the trajectory comprises fitting a circle or an arc to the inhalation samples in the complex plane and to the exhalation samples in the complex plane;

and comparing the centers and the radii of the circles for inhalation and exhalation.

77. The method of claim 68, wherein the paradoxical breathing indication comprises calculating the area enclosed by a full breathing cycle in the complex plane;

indicating the presence of respiration if the area bounded by the points is greater than a threshold; and

indicating the absence of respiration if the area bounded by the points is less than a threshold.

78. The method of claim 68, wherein the paradoxical breathing indication comprises fitting a circle to the samples in the complex plane from one or more complete breathing cycles;

estimating the center of that circle;

calculating the distance from each sample to the center of the circle;

calculating the variance of the distance from each sample to the center of the circle;

indicating the presence of paradoxical breathing if the variance is above a threshold;

and indicating the absence of paradoxical breathing if the variance is below a threshold.

79-127. -127. (canceled)

128. A system for estimating the presence or absence of paradoxical breathing using a motion sensor, the system comprising:

one or more sources for generating electromagnetic radiation, wherein the frequency of the generated electromagnetic radiation is in the radio frequency range;

one or more transmitters configured to transmit the generated electromagnetic radiation towards a subject;

one or more receivers configured to receive a radiation scattered at least by the subject;

a signal extractor configured to extract a Doppler shifted signal from the scattered radiation; and

a processor configured to transform the Doppler shifted signal to a digitized motion signal, said digitized motion signal comprising one or more frames, wherein the one or more frames comprise time sampled quadrature values of the digitized motion signal;

wherein the processor is configured to execute a non-cardiopulmonary motion detection algorithm to identify from the digitized motion signal one or more non-cardiopulmonary motion detection events or other signal interference events corresponding to the presence or absence of a non-cardiopulmonary motion or other signal interference,

wherein the processor is further configured to execute a paradoxical breathing indication algorithm to estimate the presence or absence of paradoxical breathing, and

wherein the system is configured to provide information related to at least the presence, absence, or degree of paradoxical breathing.

129. The system of claim 128, wherein the processor is further configured to process said one or more frames to obtain information corresponding to the cardiopulmonary movement of the subject or a part of the subject, substantially separate from non-cardiopulmonary motion or other signal interference and estimate the subject'"'"'s depth of breath from the cardiopulmonary motion.