System and method for facilitating reflectometric detection of physiologic activity

• US 9,492,099 B2
• Filed: 03/14/2013
• Issued: 11/15/2016
• Est. Priority Date: 03/19/2012
• Status: Active Grant

• Current Assignee: Advanced TeleSensors, Inc.
• Original Assignee: Advanced TeleSensors, Inc.
• Inventors: Gamble, Ronald C., Weill, Lawrence Randolph, Monacos, Steve Perry
• Primary Examiner(s): Cwern, Jonathan
• Assistant Examiner(s): Gillman, Amelie R
• Application Number:
  US13/827,555
• Publication Number:
  US 20130245437A1
• Time in Patent Office: 1,342 Days
• Field of Search: 600/430
• US Class Current: 1/1
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0507 using microwaves or terahertz waves
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B

Abstract

A method for remotely sensing cardiac-related data of an animal subject includes transmitting a RF signal to impinge on tissue of the subject, receiving a reflected portion of the RF signal, generating baseband data, filtering baseband data (e.g., including high pass filtering), performing waveform phase position determination, performing at least one auto-correlation of the waveform phase position determined data, determining periodicity of the auto-correlated data, and (i) computing heart rate using a maximum periodicity of the periodicity, or (ii) identifying abnormalities in cardiac function, such as may be indicated by temporal variations in heart rate and/or signal amplitude corresponding to cardiac activity. Multiple bandpass filtering schemes may be employed.

Claims

1. A method for remotely sensing cardiac-related data of an animal subject, the method comprising:

transmitting a radio frequency signal to impinge on tissue of the subject;

receiving a reflected radio frequency signal, the reflected radio frequency signal comprising a reflection of the radio frequency signal impinged on the tissue of the subject;

generating baseband data utilizing the reflected radio frequency signal;

filtering multiple parallel streams of data embodying or derived from the baseband data to yield initially filtered data including a plurality of initially filtered data sets, wherein each initially filtered data set is obtained by filtering a stream of data of the multiple parallel streams of data with a different filtering scheme, and each filtering scheme includes high-pass filtering with a cutoff frequency of 10 Hz or greater;

performing waveform phase position determination on data embodying or derived from the initially filtered data to yield waveform phase position determined data;

performing at least one auto-correlation of the waveform phase position determined data to yield auto-correlated data;

determining periodicity of data embodying or derived from the auto-correlated data, wherein said determining of periodicity comprises determining a plurality of periodicity values; and

computing heart rate including selecting a majority or median of the plurality of periodicity values.

2. A method according to claim 1, further comprising deriving either all positive values or all negative values from the initially filtered data, and then bandpass filtering the derived either all positive values or all negative values to yield said data embodying or derived from the initially filtered data on which said waveform phase position determination is performed.

3. A method according to claim 2, wherein said bandpass filtering of the derived either all positive values or all negative values includes (i) high-pass filtering with a cutoff frequency of no less than 0.2 Hz and (ii) low-pass filtering with a cutoff frequency of no greater than 8 Hz.

4. A method according to claim 2, wherein said deriving either all positive values or all negative values comprises deriving all positive values, and said deriving of all positive values comprises squaring the initially filtered data.

5. A method according to claim 1, wherein said high-pass filtering with a cutoff frequency of 10 Hz or greater comprises high-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, wherein said filtering of multiple parallel streams of data embodying or derived from the baseband data to yield said initially filtered data further comprises low-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, wherein the cutoff frequency of the low-pass filtering is no more than 2 Hz apart from the cutoff frequency of the high-pass filtering, and the cutoff frequency of the low-pass filtering is no greater than the cutoff frequency of the high-pass filtering.

6. A method according to claim 1, wherein said high-pass filtering with a cutoff frequency of 10 Hz or greater comprises high-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, wherein said filtering of multiple parallel streams of data embodying or derived from the baseband data to yield said initially filtered data comprises a bandpass including low-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz and said high-pass filtering, wherein the cutoff frequency of the low-pass filtering is no greater than the cutoff frequency of the high-pass filtering.

7. A method according to claim 6, wherein said filtering of multiple parallel streams of data embodying or derived from the baseband data to yield said initially filtered data further comprises another bandpass that includes low-pass filtering with a cutoff frequency in a range of from 30 Hz to 70 Hz and includes high-pass filtering with a cutoff frequency in a range of from 5 Hz to 15 Hz.

8. A method according to claim 6, wherein the low-pass filtering comprises use of a filtering element characterized by a transfer function having a slope along the cutoff frequency of no less than a slope of a 4-pole Butterworth filter, and the high-pass filtering comprises use of a filtering element characterized by a transfer function having a slope along the cutoff frequency of no less than a slope of a 4-pole Butterworth filter.

9. A method according to claim 1, further comprising performing analog-to-digital conversion of the baseband data to obtain digitally converted data and time segmenting the digitally converted data prior to said filtering to yield initially filtered data, wherein said filtering to yield initially filtered data comprises digital filtering.

10. A method according to claim 1, further comprising deriving all positive values from the initially filtered data, wherein said deriving of all positive values from the initially filtered data comprises squaring the initially filtered data.

11. A method according to claim 1, wherein said performing of at least one auto-correlation of the waveform phase position determined data comprises performing dual auto-correlation.

12. A method according to claim 1, wherein said determining of periodicity of data embodying or derived from the auto-correlated data comprises performance of a Fast Fourier Transform calculation.

13. A method according to claim 1, further comprising at least one of displaying or storing the heart rate.

14. A method according to claim 1, wherein said receiving of the reflected radio frequency signal comprises one of the following schemes (i) or (ii):

(i) detection of an in-phase signal component (I) and a quadrature phase signal component (Q), wherein said baseband data comprises the in-phase signal component (I) and the quadrature phase signal component (Q);

or (ii) detection of an in-phase signal component (I) while a quadrature phase signal component (Q) is kept constant, wherein said baseband data comprises the in-phase signal component (I) without any of the quadrature phase signal component (Q).

15. A system for remotely sensing cardiac-related data of an animal subject, the system comprising:

a radio frequency transmitter adapted to transmit a radio frequency signal for impingement on tissue of the subject;

a radio frequency receiver adapted to receive a radio frequency signal comprising a reflection of the radio frequency signal impinged on the tissue of the subject;

a baseband data generating element configured to generate baseband data from the received radio frequency signal;

at least one filtering element configured to filter multiple parallel streams of data embodying or derived from the baseband data to yield initially filtered data including a plurality of initially filtered data sets, wherein each initially filtered data set is obtained by filtering with a different filtering scheme, and each filtering scheme includes high-pass filtering with a cutoff frequency of 10 Hz or greater;

a waveform phase position determining element configured to perform waveform phase position determination on data embodying or derived from the initially filtered data to yield waveform phase position determined data;

an auto-correlation element configured to perform at least one auto-correlation of the waveform phase position determined data to yield auto-correlated data;

a periodicity determining element configured to determine periodicity of data embodying or derived from the auto-correlated data, wherein said determining of periodicity of data comprises determining a plurality of periodicity values; and

a heart rate computing element configured to compute heart rate including selection of a majority or median of the plurality of periodicity values.

16. The system of claim 15, wherein the baseband data comprises analog baseband data, the system further comprising an analog-to-digital converter configured to convert the analog baseband data to digital data to yield said data embodying or derived from the baseband data, and wherein said at least one filtering element comprises a digital filtering element.

17. The system of claim 15, wherein said high-pass filtering with a cutoff frequency of 10 Hz or greater comprises high-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, wherein each filtering scheme comprises bandpass filtering including said high-pass filtering and low-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, and wherein the cutoff frequency of the low-pass filtering is no more than 2 Hz apart from the cutoff frequency of the high-pass filtering, and the cutoff frequency of the low-pass filtering is no greater than the cutoff frequency of the high-pass filtering.

18. The system of claim 15, wherein said high-pass filtering with a cutoff frequency of 10 Hz or greater comprises high-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, wherein each filtering scheme comprises bandpass filtering including said high-pass filtering and low-pass filtering with a cutoff frequency in a range of from 15 Hz to 50 Hz, and wherein the cutoff frequency of the low-pass filtering is no greater than the cutoff frequency of the high-pass filtering.

19. The system of claim 15, comprising at least one processor configured to execute a stored machine-readable instruction set, and the at least one processor comprises one or more of the following:

the at least one filtering element, the waveform phase position determining element, the auto-correlation element, the periodicity determining element, and the heart rate computing element.

20. The system of claim 19, wherein the at least one processor consists of a single microprocessor comprising each of the at least one filtering element, the waveform phase position determining element, the auto-correlation element, the periodicity determining element, and the heart rate computing element.

21. The system of claim 15, wherein the baseband data generating element comprises a quadrature mixer configured to process the received radio frequency signal with an oscillating signal representative of the transmitted radio frequency signal to output an in-phase component (I) and a quadrature phase signal component (Q).