Microwave contactless heart rate sensor

• US 9,713,434 B2
• Filed: 02/07/2013
• Issued: 07/25/2017
• Est. Priority Date: 02/11/2012
• Status: Active Grant

• Current Assignee: Sensifree Ltd.
• Original Assignee: Sensifree Ltd.
• Inventors: Barak, Ilan Saul
• Primary Examiner(s): Roy, Baisakhi
• Application Number:
  US14/377,845
• Publication Number:
  US 20150018676A1
• Time in Patent Office: 1,629 Days
• CPC Class Codes: A61B 5/02444 Details of sensor A61B5/02427 takes precedence
• CPC Class Codes: A61B 5/026 Measuring blood flow A61B3/1233, A61B3/1241 take precedence
• CPC Class Codes: A61B 5/0507 using microwaves or terahertz waves
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• 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

Abstract

A heart-rate sensor for detecting artery blood-flow volume per unit length change in a human or animal subject, which comprises an antenna for sensing the instantaneous volume of blood in the artery of the subject, to be measured; a RADAR unit for transmitting microwave signals into a subject'"'"'s body part or limb representing tissue targets. The output of the RADAR unit includes a superposition of signals each of which corresponding to a different tissue target with amplitudes that relate to the target'"'"'s reflection strength; a sampling circuitry for converting reflected signals to digital; a window function circuitry for suppressing unwanted spectral sidebands originating from the subsequent processor operating on time truncated data; an FFT processor following the window function circuitry, for splitting the superposition according to its relative frequency into a multiplicity of bins, each of which with an amplitude that represents the reflection magnitude of a target at a specific distance from the antenna; a signal processor for filtering out the effect of the sensor movement with respect to the subject body part, or the movement of the body part, and for generating a signal, the amplitude of which is proportional to the artery varying dilatation representing the heart-rate; a heart-rate estimator for measuring the frequency of the artery dilatation variations and for canceling the interference of the amplitude of any signal that does not originate from the artery; a battery for powering the sensor.

Claims

1. A wearable sensor for detecting a signal corresponding to an artery'"'"'s diameter, comprising:

a first antenna configured for transmitting frequency modulated microwave signals whose frequencies span an ultra wideband into a body part containing the artery;

a frequency modulated oscillator;

a mixer configured to mix signals generated by said oscillator that are coupled to an input of said mixer from an output of said oscillator and reflected signals received by said first antenna or a second antenna that contain reflections of said frequency modulated microwave signals by tissue in said body part, and to output the mixed signals;

an analogue to digital converter configured to sample said mixed signals and to output sampled data;

a transform for receiving said sampled data and transforming said output data from frequency domain to time domain, and splitting the sampled data into a plurality of bins, wherein each bin stores bin data that corresponds to a amplitude of reflected signal from tissue located at a unique depth in the body part;

a signal processor configured to receive said bin data from said function processor, and to use said bin data to generate a signal corresponding to the artery'"'"'s diameter, and

a battery for powering the sensor.

2. The wearable sensor of claim 1, further comprising a window function circuitry configured for suppressing unwanted spectral sidebands resulting from a transmitting said frequency modulated microwave signals as pulses.

3. The wearable sensor according to claim 2, wherein the window function comprises at least one of a Kaiser window, a Tukey window and a window used in connection with Digital Fourier Transforms.

4. The wearable sensor of claim 1, further comprising a heart-rate estimator configured for estimating a heart-rate by at least measuring the frequency of the artery dilatation variations.

5. The wearable sensor of claim 4, wherein the heart-rate estimator is additionally configured to cancel interference of the amplitude of a signal not originating from the artery.

6. The wearable sensor of claim 5, wherein the interference is eliminated via at least one of Multiple Reference Active Noise Control, Recursive Least Squares (RLS), Least Mean Square (LMS), Filtered-X Least Mean Square, and Filtered-u Least Mean Square.

7. The wearable sensor of claim 5, wherein the interference cancellation corresponds to an adaptive noise cancellation having input signals comprising a plurality of range gate bins amplitudes.

8. The wearable sensor of claim 5, wherein the interference cancellation corresponds to adaptive noise cancellation, wherein one or more additional inputs are received from an acceleration sensitive device.

9. The wearable sensor of claim 1, further comprising a radio transmitter configured to relay heart rate data to a remote receiver or terminal.

10. The wearable sensor of claim 1, wherein the interference cancellation corresponds to a ratio of polynomials of multiplicity of range gate bins amplitudes.

11. The wearable sensor of claim 10, wherein the ratio comprises the ratio between the amplitude of the reflected signal from the artery to the amplitude of the reflected signal from the skin.

12. The wearable sensor of claim 1, further comprising a blood-flow volume per unit estimator using data comprising said signal corresponding to diameter of the artery to estimate blood-flow volume.

13. The wearable sensor of claim 1, wherein the frequency modulated microwave signals transmitted into the tissue comprise frequency-modulated continuous wave signals with a duty cycle of less than 1%.

14. The wearable sensor of claim 13, wherein the frequency-modulated continuous wave signals are modulated by a triangular wave, a multi-rate ramp, or a wideband sine-wave signal.

15. The wearable sensor of claim 13, wherein the frequency-modulated continuous wave signals are chirp pulses having a frequency width of at least 5 GHz.

16. The wearable sensor of claim 13, wherein the frequency-modulated continuous wave signal comprise a sweep time of 10 μ

sec and the analogue to digital converter includes a sampling frequency of 3.2 MHZ.

17. The wearable sensor of claim 1, wherein the function processor is configured for splitting the sampled data into a plurality of bins using a Fast Fourier Transform.

18. The wearable sensor of claim 1, wherein the frequency modulated microwave signals transmitted into the tissue comprise stepped-frequency signals with a duty cycle of less than 1%.

19. The wearable sensor of claim 1, wherein the sensor is integrated with a wrist watch, or further comprising a wrist strap enabling the sensor to be worn on the wrist.

20. The wearable sensor of claim 1, wherein the oscillator is a voltage controlled oscillator and the voltage controlled oscillator is modulated by a ramp signal spanning a signal bandwidth between 3.1 to 10.6 GHz with a sweep time of 10 μ

sec.

21. The wearable sensor according to claim 1, wherein the oscillator is a voltage controlled oscillator and the voltage controlled oscillator is a variable frequency ring oscillator, fabricated from CMOS or BicMOS technologies.

22. The wearable sensor of claim 1, wherein the frequency variations of the oscillator are performed in discrete steps.

23. The wearable sensor of claim 1, wherein the antenna comprises a dual planar cross-bow dipole antenna including two orthogonal broadband dipoles, a single arm spiral antenna, a single broadband dipole antenna, or a slot antenna.

24. The wearable sensor of claim 1, wherein the function processor is configured to use a discrete Fourier transform, a chirp-z transform, or an analog filter bank.

25. The wearable sensor of claim 1, wherein the signal is sampled at 10 Hz.

26. The wearable sensor of claim 1, further comprising cancellation circuitry configured for cancellation of interference caused by the sensor movements utilizing signals from a plurality of time bins.

27. The wearable sensor of claim 1, wherein the oscillator is a voltage controlled oscillator and the voltage controlled oscillator is a variable frequency ring oscillator.

28. The wearable sensor of claim 1, wherein the oscillator'"'"'s bandwidth is more than 5 GHz.

29. The wearable sensor of claim 1, wherein the oscillator is a voltage controlled oscillator.

30. The wearable sensor of claim 1 wherein said reflected signals are received by said first antenna.

31. The wearable sensor of claim 1 wherein said first antenna and said first or second antenna are a single antenna for performing both transmit and receive.

32. The wearable sensor of claim 31 wherein an output of said oscillator is coupled to said mixer and said mixer is a leaky mixer which leaks some of the signal it receives from the oscillator to said single antenna.

33. The wearable sensor of claim 1 wherein said mixer outputs an IF signal having an IF center frequency centered at a difference in frequency, of the frequency of the oscillator signal received at the mixer, and the frequency of the reflected signal received at the mixer, and wherein said IF center frequency corresponds to the signal transmission time from the mixer to the artery and from the artery to the mixer times the change in signal frequency over that signal transmission time.

34. The wearable sensor of claim 33 wherein the signal transmission time from the mixer to the artery and from the artery to the mixer includes the time for the signal to traverse approximately 7 mm within the body.

35. The wearable sensor of claim 33, wherein said signal frequency is modulated over at least 3 GHz in 10 μ

sec.

36. The wearable sensor of claim 1, wherein said frequency signal is modulated at a frequency ramp rate of between 3 and 7.5 times 10⁵ Ghz/second.

37. The wearable sensor of claim 1, wherein said frequency modulated oscillator comprises a voltage controlled oscillator modulated by a modulation signal causing the oscillator to oscillate over bandwidth of at least 3 GHz.

38. The wearable sensor of claim 1, wherein:

said signal processor comprises noise cancellation for removing multiplicative interference due to variation in distance between the artery and the antenna or antennas transmitting and receiving the frequency modulated microwave signals, by determining multiplicative interference from bin data for reflections from tissue other than the artery, and removing the determined multiplicative interference from the additive interference-free artery data.

39. The wearable sensor of claim 1, wherein:

said signal processor comprises noise cancellation for removing additive interference due to bin data corresponding to reflection from tissue other than the artery, to thereby produce additive interference-reduced artery data corresponding substantially to reflections from the artery without additive interference.

40. The wearable sensor of claim 1, wherein said mixer is designed to leak signal received from the frequency modulated oscillator to said first antenna and to receive said reflected signals from said first antenna.

41. The wearable sensor of claim 1, where said frequency modulated oscillator received an input signal that provides one of a ramp and a stepped control signal to control the frequency modulated oscillator to generate one of a chirped and stepped signal for which the chirp or steps span a bandwidth of at least 3 Ghz.

42. The wearable sensor of claim 1 wherein said mixer is configured to mix reflected signals that are reflected from an artery at a depth of 3.5 mm below the skin.

43. The wearable sensor of claim 1 wherein said signal processor is configured to generate said signal corresponding to the artery'"'"'s diameter based upon reflections from an artery having a nominal diameter of 2.5 mm.

44. The wearable sensor of claim 1 wherein said a signal processor is configured to generate the signal corresponding to the artery'"'"'s diameter at a rate above a few Hertz.

45. The wearable sensor of claim 1 wherein said frequency modulated oscillator is configured to operate at a duty cycle between 0.01% and 1%.

46. A wearable sensor for detecting time varying dilation diameter of an artery in a subject, comprising:

a frequency modulated oscillator;

a first antenna for transmitting frequency modulated microwave signals whose frequencies span an ultra-wideband into a body part of the subject, said body part including the artery;

a second antenna for sensing reflections of signals transmitted by said first antenna by said body part;

a mixer configured to mix a signal generated by said oscillator that is coupled to an input of said mixer from an output of said oscillator and a signal received from the second antenna;

an analogue to digital converter configured to sample a signal generated by the mixer;

a transform following said analogue to digital converter and configured for splitting the sampled data into a plurality of bins, wherein each bin corresponds to a target located at a unique depth in the tissue and represents a amplitude of said reflected signal on said target;

a signal processor configured for generating a signal corresponding to the diameter of the artery; and

a battery for powering the sensor.

47. The wearable sensor of claim 46 wherein said signal processor is further configured for filtering out the (1) signal corresponding to tissue other than the artery and (2) the effect of the sensor movement with respect to the body part.

48. A method for measuring the heart-rate in a subject, comprising:

transmitting frequency modulated microwave signals whose frequencies span an ultra wideband, via a wearable unit into a subject'"'"'s body part, the body part including an artery;

receiving reflected signals in an antenna;

wherein the amplitudes of the reflected signals relate to the target'"'"'s reflection strength;

converting said reflected signals to digital representation;

suppressing spectral sidebands;

splitting said superposition by using a transform function according to its relative frequency into a multiplicity of bins, each of which having an amplitude that represents the reflection magnitude of a target at a specific distance from said antenna;

using the bin data to generate an artery dilation signal having an amplitude representative of the varying artery dilatation due to heart-rate;

measuring the frequency of the artery dilation variations; and

determining the heart rate based on the measured frequency.

49. The method of claim 48 further comprising the step of filtering out the affect of acceleration using an acceleration signal, on artery dilation, prior to measuring frequency of artery dilation.

50. The method of claim 48, wherein said transmitting of the frequency modulated microwave signals via the wearable unit into the subject'"'"'s body part comprises coupling an output of a frequency modulated oscillator to an input of a mixer, and coupling an output of the mixer to said antenna.

51. The method of claim 50, wherein said converting the reflected signals to digital representation comprises coupling signals received by said antenna to an input of said mixer so that said mixer mixes the output of the frequency modulated oscillator with the signals received by said antenna.

52. The method of claim 51 wherein said mixer is designed to leak signal received from the frequency modulated oscillator to the antenna.

53. The method of claim 48 further comprising generating said frequency modulated microwave signals using a frequency modulated oscillator whose output frequency is controlled by an input in the form of a ramped or stepped signal.

54. The method of claim 48 further comprising filtering out the bin data the effect of the sensor movement with respect to the subject body part and the effect of signals from tissue other than the artery.