Respiratory Monitoring Sensor And Method For Cell Phones, Smart Watches, Occupancy Sensors, And Wearables

• US 20150148625A1
• Filed: 11/26/2014
• Published: 05/28/2015
• Est. Priority Date: 11/26/2013
• Status: Abandoned Application

• Current Assignee: JB IP Acquisitions LLC
• Original Assignee: JB IP Acquisitions LLC
• Inventors: Benaron, David Alan
• Application Number:
  US14/555,059
• Publication Number:
  US 20150148625A1
• Time in Patent Office: Days
• US Class Current: 600/306
• CPC Class Codes: A61B 2560/0247 for compensation or correction of the measured physiological value
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/0806 by whole-body plethysmography measuring blood flow using plethysmography A61B5/0295; impedance plethysmography A61B5/053; measuring volume of the body or parts thereof A61B5/1073
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/083 Measuring rate of metabolism by using breath test, e.g. measuring rate of oxygen consumption
• CPC Class Codes: A61B 5/085 Measuring impedance of respiratory organs or lung elasticity
• CPC Class Codes: A61B 5/091 Measuring volume of inspired or expired gases, e.g. to determine lung capacity
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/14552 Details of sensors specially adapted therefor
• CPC Class Codes: A61B 5/369 Electroencephalography [EEG] devices for psychotechnics A61B5/16
• CPC Class Codes: A61B 5/4812 Detecting sleep stages or cycles
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: A61B 5/4875 Hydration status, fluid retention of the body
• CPC Class Codes: A61B 5/6802 Sensor mounted on worn items
• CPC Class Codes: A61B 5/681 : Wristwatch-type devices
• CPC Class Codes: A61B 5/7207 : of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7225 : Details of analog processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation A61B5/30, A61B5/316 take precedence; transformers for specific applications H01F38/00; amplifiers H03F
• CPC Class Codes: A61B 5/7253 : characterised by using transforms

Abstract

An improved sensor (102) for respiratory and metabolic monitoring in mobile devices, wearables, security, illumination, photography, and other devices and systems uses an optional phosphor-coated broadband white LED (103) to produce broadband light (114), which is then transmitted along with any ambient light to a target (125) such as the ear, face, or wrist of a living subject. Some of the scattered light returning from the target to detector (141) is passed through narrowband spectral filter set (155) to produce multiple detector regions, each sensitive to a different waveband wavelength range, and the detected light is spectrally analyzed to determine a measure of respiration of the subject, such as respiratory rate, volume, effort, depth, or respiratory variability. In one example, variations in components of the bloodstream over time such as hemoglobin and water are determined based on the detected light, and said measure of respiration is then determined based on the in components of the bloodstream over time, with venous compartment changes as a result of body movement and body position changes, and skin surface compartment changes as a result of sensor movement, substantially removed. In the absence of the LED light, the ambient light may be sufficient illumination for analysis. The same sensor can provide identifying features of type or status of a tissue target, such as heart rate or variability, hydration status, or even confirmation that the tissue is alive. Respiratory monitoring systems incorporating the sensor, as well as methods, are also disclosed.

Claims

1. A method for respiratory monitoring in a living subject, comprising the steps of:

(a) detecting light being at least in part backscattered from or transmitted through the subject;

(b) determining a measure of variation in component substances of the bloodstream over time, said measure determined at least in part based on the detected light; and

,

(c) generating an output that is a function of an estimated respiratory rate, volume, effort, depth, or respiratory variability of the subject, said output based at least in part on the measure of variation of component substances of the bloodstream

2. A method for respiratory monitoring in a living subject, comprising the steps of:

(a) detecting broadband light returning for detection after interaction with the subject and after narrowband spectral filtering or separating of said light returning for detection into different wavebands;

(b) determining a measure of hemoglobin or water in the bloodstream of the subject over an interval of time, said measure based at least in part on a spectral analysis of the detected light; and

,

(c) generating an output that is a function of an estimated respiratory rate, volume, effort, depth, or variability of the subject, said output based at least in part on the measure of hemoglobin or water in the bloodstream of the subject over the interval of time.

4. The method of claim 2, wherein the detected broadband light is filtered into selective wavebands of light for detection at more than one detector or detector regions.

5. The method of claim 2, wherein the step of detecting broadband light occurs without physical contact with the subject.

6. The method of claim 2, wherein the step of detecting broadband light occurs at a distance from the subject.

7. The method of claim 2, wherein the step of detecting broadband light occurs with intermittent physical contact with the subject.

12. The method of claim 2, wherein the step of spectral filtering or separation comprises filtering the detected light through narrowband interference filters deposited directly on one or more detectors.

13. The method of claim 2, further comprising the step of detecting broadband light comprises detection at more than one detector or detector region.

14. The method of claim 2, wherein the detected broadband light is ambient light.

15. The method of claim 2, wherein the output is a detection of elevated respiratory rate or effort.

16. The method of claim 2, wherein the output is a detection of decreased or absent respiratory rate or effort.

3. A method for respiratory monitoring a living subject, comprising the steps of:

(a) collecting spectral data from broadband light returning for detection after an interaction with the subject and after spectral filtering or separation of the broadband light into different narrowband wavelength ranges;

(b) analyzing the collected spectral data to computationally partition the data into more than one physiological compartment of different temporal or physiological characteristics, and into more than one blood or tissue component;

(c) determining a measure of hemoglobin or water content of the subject localized to one physiological compartment, said measure of measure of hemoglobin or water content determined at least in part based on the computational partition; and

,

(d) generating an output that is a function of the respiratory rate, volume, effort, depth, or variability of the subject based at least in part on the measure of hemoglobin or water content.

8. The method of claim 3, wherein said more than one physiological compartment comprises at least the arterial bloodstream, the venous bloodstream, and the surface skin reflectance.

9. The method of claim 3, wherein said more than one blood or tissue components comprises at least the hemoglobin and water.

10. The method of claim 3, wherein said measure of hemoglobin or water content of the subject localized to one physiological compartment is an oxyhemoglobin component of an arterial bloodstream compartment, with venous compartment changes as a result of body movement and body position changes substantially removed.

11. The method of claim 3, wherein said measure of hemoglobin or water content of the subject localized to one physiological compartment is an oxyhemoglobin component of an arterial bloodstream compartment, with skin surface compartment changes as a result of body movement, body position changes, and sensor movement substantially removed.

17. A device for monitoring the respiration of a living subject, comprising:

(a) a sensor configured to detect light being backscattered from or transmitted through the subject; and

,

(b) a processor, and memory storing one or more programs for execution by the processor, the one or more programs including instructions for determining at least a measure of component substances in the bloodstream of the subject over time, said measure determined at least in part on the detected light, and for generating an output that is a function of a respiratory rate, volume, effort, depth, or variability of the subject, said output based at least in part on the measure of component substances in the bloodstream over time.

21. The device of claim 17, wherein the sensor, processor, and memory are located on a single integrated board or chip.

18. A device for monitoring the respiration of a living subject, comprising:

(a) a sensor configured to detect broadband light after backscattering from or transmission through the subject, said sensor further comprising at least one narrowband spectral filter configured to produce at least one sensor region, each sensor region sensitive to a predetermined waveband of backscattered or transmitted light; and

,

(b) a processor, and memory storing one or more programs for execution by the processor, the one or more programs including instructions for determining at least a measure of component substances in the bloodstream of the subject over time, said measure determined at least in part on a spectral analysis of the detected light, and for generating an output that is a function of a respiratory rate, depth, volume, or effort of the subject, said output based at least in part on the measure of component substances in the bloodstream over time.

22. The device of claim 18, wherein the sensors, processor, spectral filters, and memory are located on a single integrated board or chip.

23. The device of claim 18, wherein the device is configured as part of a system selected from the list of systems including a mobile personal health monitor, a mobile phone, a wearable device, wearable clothing, wearable glasses, a wearable bracelet, wearable earphones, wearable contact lenses, a security system, a room occupancy sensor.

24. The device of claim 18, the sensor comprises at least one spectral filter deposited directly on at least one detector.

25. The device of claim 18, wherein the detected broadband light is separated or filtered into selective wavebands of light for detection at more than one detector or detector regions.

26. The device of claim 18, wherein the sensor is configured to operate and to detect broadband light in a non-contact manner with the subject.

27. The device of claim 18, wherein the sensor is configured to operate and to detect broadband light at a distance from the subject.

28. The device of claim 18, wherein the sensor is configured to operate and to detect broadband light with intermittent physical contact with the subject.

29. The device of claim 18, wherein said measure of physiology localized to one compartment is an oxyhemoglobin component of arterial bloodstream compartment, with at least half of the bloodstream changes due to body movement, body position, and sensor movement analytically removed.

30. The device of claim 18, wherein said more than one compartment comprises at least the arterial bloodstream, the venous bloodstream, and the surface skin reflectance.

31. The device of claim 18, wherein the step of collecting spectral data comprises filtering the spectral data through narrowband interference filters deposited directly on three or more detectors.

32. The device of claim 18, wherein the output is a configured to be a detection of elevated respiratory rate or effort.

33. The device of claim 18, wherein the output is a configured to be a detection of decreased or absent respiratory rate or effort.

19. A device for monitoring the respiration of a living subject, comprising:

(a) a solid-state broadband white LED illuminator configured to illuminate a target site on the subject with broadband light without direct contact with said target;

(b) a sensor configured to detect broadband light after backscattering from or transmission through the subject, said sensor further comprising at least one narrowband spectral filter configured to produce at least three sensor regions, each sensor region sensitive to a predetermined waveband of backscattered or transmitted light; and

,

(c) a processor, and memory storing one or more programs for execution by the processor, the one or more programs including instructions for determining at least a measure of hemoglobin or water in the bloodstream of the subject over time, said measure determined at least in part on a spectral analysis of the detected light, and for generating an output that is a function of a respiratory rate, volume, effort, depth, or variability of the subject, said output based at least in part on the measure of hemoglobin or water in the bloodstream over time.

20. A device for monitoring the respiration of a living subject, comprising:

(a) A sensor configured to detect broadband light returning for detection after interaction with the subject and after narrowband spectral filtering or separating of said light returning for detection into different wavebands; and

,

(b) a processor, and memory storing one or more programs for execution by the processor, the one or more programs including instructions for analyzing the collected spectral data to computationally partition the data into more than one physiological compartment of different temporal or physiological characteristics, and into more than one blood or tissue component;

determining a measure of hemoglobin or water content of the subject localized to one physiological compartment, said measure of measure of hemoglobin or water content determined at least in part based on the computational partition; and

, generating an output that is a function of the respiratory rate, volume, effort, depth, or variability of the subject based at least in part on the measure of hemoglobin or water content.