System and method for monitoring cardiorespiratory parameters
View Patent ↗An apparatus, system, and method is disclosed for monitoring the motion, breathing, heart rate of humans in a convenient and low-cost fashion, and for deriving and displaying useful measurements of cardiorespiratory performance from the measured signals. The motion, breathing, and heart rate signals are obtained through a processing applied to a raw signal obtained in a non-contact fashion, typically using a radio-frequency sensor. Processing into separate cardiac and respiratory components is described. The heart rate can be determined by using either spectral or time-domain processing. The respiratory rate can be calculated using spectral analysis. Processing to derive the heart rate, respiratory sinus arrhythmia, or a ventilatory threshold parameter using the system is described. The sensor, processing, and display can be incorporated in a single device which can be worn or held close to the body while exercising (e.g., in a wristwatch or mobile phone configuration), or alternately placed in a fixed piece of exercise equipment at some distance form the body (e.g., in a treadmill dash panel), and may also be integrated with other sensors, such as position locators.
1. A system for measuring and analyzing respiration and cardiac activity, the system comprising:
one or more radio-frequency Doppler sensors configured to receive a reflected radio-frequency (RF) signal off a living subject, wherein the RF signal comprises a pulsed RF signal;
a mixer that mixes the reflected signal over a predefined period with an RF signal transmitted toward the living subject, the transmitted signal being associated with the reflected signal; and
a processor configured to analyze the reflected signal to determine a measurement of respiration and cardiac activity of the living subject;
wherein the processor is configured to calculate a parameter of cardiorespiratory performance by relating the measured cardiac activity to the measured respiration over a defined period of measurement.
2. A system for measuring and analyzing respiration and cardiac activity, the system comprising:
one or more radio-frequency Doppler sensors configured to receive a reflected radio-frequency (RF) signal off a living subject, wherein the RF signal comprises a single RF frequency; and
a processor configured to analyze the reflected signal to determine a measurement of respiration and cardiac activity of the living subject;
wherein the processor is configured to calculate a parameter of cardiorespiratory performance by relating the measured cardiac activity to the measured respiration over a defined period of measurement.
3. A system for measuring and analyzing respiration and cardiac activity, the system comprising:
two or more radio-frequency Doppler sensors, each sensor configured to receive at a different radio frequency a reflected radio-frequency (RF) signal off a living subject;
a processor configured to analyze the reflected signals to determine a measurement of respiration and cardiac activity of the living subject,
wherein the processor is configured to calculate a parameter of cardiorespiratory performance by relating the measured cardiac activity to the measured respiration over a defined period of measurement.
4. The system of claim 1 , further comprising an output arranged to output the cardiac activity or respiration.
5. The system of claim 1 , further comprising a transmitter that generates the radio frequency signals that are reflected off the living subject.
6. The system of claim 5 , wherein the generated radio frequency signal is emitted at a power level safe for use when the living subject is a human.
7. The system of claim 1 , wherein the processor is further configured to derive one or more signals related to non-cardiorespiratory bodily movement of the living subject.
8. The system of claim 1 , wherein the processor is configured to recognize the respiration or cardiac activity of the living subject using a processed time-domain signal derived from the reflected radio-frequency signal.
9. The system of claim 8 , wherein the recognized cardiac activity comprises heart beats of the living subject recognized by identifying peaks in the processed time-domain signal.
10. The system of claim 8 , wherein the cardiac activity comprises heart beats of the living subject recognized by a time-domain correlation of the received signal with a prototypical cardiac signal.
11. The system of claim 1 , wherein the processor is configured to recognize the respiration or cardiac activity of the living subject using frequency domain processing of the received signal.
12. The system of claim 11 , wherein the recognized respiration comprises a breathing rate of the living subject.
13. The system of claim 1 , further comprising a filter, wherein the processor is configured to measure an energy content of a filtered signal, wherein periods of bodily motion of the living subject are recognized by comparing the energy content to a predetermined energy value.
14. The system of claim 1 , further comprising multiple sensors configured to receive the reflected RF signal.
15. The system of claim 14 , in which a plurality of signals provided by the multiple sensors are processed simultaneously to output distinct components of bodily movement.
16. The system of claim 1 , wherein the processor is configured to calculate a parameter of respiratory sinus arrhythmia using measured heart rate and breathing rate information.
17. The system of claim 1 , wherein the processor is configured to calculate a parameter of respiratory sinus arrhythmia using cross-spectral analysis of measured heart rate and breathing rate signals.
18. The system of claim 4 , wherein the output comprises a display.
19. The system of claim 18 , wherein the display is configured to visually signal a heart rate of the living subject to the user.
20. The system of claim 18 , wherein the display is configured to visually signal a breathing rate of the living subject to the user.
21. The system of claim 1 , wherein the defined period of measurement is a predefined distance.
22. The system of claim 1 , wherein the defined period of measurement is a predefined time.
23. The system of claim 1 , wherein the processor is configured to audibly signal a heart beat of the living subject.
24. The system of claim 1 , wherein the processor is configured to calculate a heart rate of the living subject using spectral analysis that removes periods of measurement containing artifacts therein.
25. The system of claim 1 , wherein the processor is configured to calculate a breathing rate of the living subject using spectral analysis that removes periods of measurement containing artifacts therein.
26. The system of claim 1 , further comprising multiple sensors operating at different frequencies, wherein a relatively low frequency is used to estimate a large bodily movement of the living subject, and a relatively high frequency is used to estimate a smaller movement of the living subject.
27. The system of claim 1 , further comprising a positioning system configured to monitor a location of the living subject.
28. The system of claim 4 , further comprising an enclosure configured to enclose the one or more sensors, the processor, and the output.
29. The system of claim 28 , wherein the enclosure is suitable for being held in a hand of the user.
30. The system of claim 1 , wherein the RF signal comprises a single frequency RF signal.
31. The system of claim 1 , wherein the RF signal comprises multiple RF signals each at a different frequency.
32. The system of claim 1 , wherein the RF signal comprises a continuous wave (CW) signal.
33. The system of claim 32 , wherein the CW signal comprises an frequency modulated continuous wave (FMCW) signal.
34. A method for measuring and analyzing respiration and cardiac activity, the method comprising:
receiving a pulsed radio-frequency (RF) signal, at at least one radio-frequency Doppler sensor, reflected from the living subject;
analyzing the reflected signal to produce measurements relating to the respiration and cardiac activity of the living subject; and
calculating a parameter of cardiorespiratory performance, using a processor, by relating the measured cardiac activity to the measured respiration over a defined period of measurement.
35. The method of claim 34 , further comprising outputting selected measurements or parameters.
36. The method of claim 35 , wherein said outputting comprises displaying one or more measurements relating to the cardiac activity of the living subject.
37. The method of claim 35 , wherein said outputting comprises displaying one or more measurements relating to the respiration of the living subject.
38. The system of claim 7 , wherein the processor derives one or more signals related to non-cardiorespiratory bodily movement by recognizing periods of high energy content.
39. The method of claim 34 , further comprising pre-processing the reflected signal to reduce the effect of motion artifacts.
40. The system of claim 1 , further comprising one or more motion sensors configured to receive the reflected RF signal off the living subject.
41. The system of claim 1 , further comprising one or more radio-frequency sensors configured to receive a reflected radio-frequency (RF) signal off the living subject.