MEDICAL MONITORING DEVICE FOR HARMONIZING PHYSIOLOGICAL MEASUREMENTS

• US 20190015023A1
• Filed: 07/13/2018
• Published: 01/17/2019
• Est. Priority Date: 07/13/2017
• Status: Active Grant

• Current Assignee: Willow Laboratories Incorporated
• Original Assignee: Cercacor Laboratories
• Inventors: Monfre, Stephen Leonard
• Granted Patent: US 11,026,604 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 2560/0223 of calibration, e.g. protocols for calibrating sensors
• CPC Class Codes: A61B 2576/02 specially adapted for a particular organ or body part
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• 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 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/0295 using plethysmography, i.e. measuring the variations in the volume of a body part as modified by the circulation of blood therethrough, e.g. impedance plethysmography
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/1075 for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer A61B8/0858 takes precedence
• CPC Class Codes: A61B 5/1079 using optical or photographic means
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/442 Evaluating skin mechanical properties, e.g. elasticity, hardness, texture, wrinkle assessment
• CPC Class Codes: A61B 5/443 Evaluating skin constituents, e.g. elastin, melanin, water
• CPC Class Codes: A61B 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

Systems, methods, apparatuses, and medical devices for harmonizing data from a plurality of non-invasive sensors are described. A physiological parameter can be determined by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites. Data from one or more first non-invasive sensors can be utilized to identify one or more variables that are useful in one or more calculations associated with data from one or more second non-invasive sensors. Data from one or more first non-invasive sensors can be utilized to calibrate one or more second non-invasive sensors. Non-invasive sensors can include, but are not limited to, an optical coherence tomography (OCT) sensor, a bio-impedance sensor, a tissue dielectric constant sensor, a plethysmograph sensor, or a Raman spectrometer.

Claims

1. A physiological monitoring system configured to determine a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites, the physiological monitoring system comprising:

a first non-invasive sensing device of a first type configured to interrogate a tissue site of a patient and generate a first signal indicative of first physiological data associated with the tissue site;

a second non-invasive sensing device of a second type that is different from the first type configured to interrogate the tissue site of the patient and generate a second signal indicative of second physiological data associated with the tissue site; and

one or more processors in communication with the first and second non-invasive sensing devices, the one or more processors configured to;

receive the first signal indicative of the first physiological data;

receive the second signal indicative of the second physiological data; and

determine a physiological parameter based at least in part on the first and second signals.

2. The system of claim 1, wherein the first non-invasive sensing device comprises one or more of an optical coherence tomography (OCT) sensor, a bioimpedance sensor, or a tissue dielectric constant sensor, wherein the first physiological data comprises tissue geometry data corresponding to the tissue site.

3. The system of claim 2, wherein tissue geometry data comprises at least one of data corresponding to one or more of a thickness of one or more layers of skin of the tissue site, cellular structure information associated with the tissue site, or a water content associated with the tissue site.

4. The system of claim 1, wherein the first non-invasive sensing device comprises a plethysmography sensor, wherein the plethysmography sensor comprises one or more of a pulse oximetry sensor, a transmission plethysmography sensor, or a reflectance plethysmography sensor.

5. The system of claim 1, wherein the first non-invasive sensing device and the second non-invasive sensing device are configured to simultaneously interrogate the tissue site.

6. The system of claim 1, wherein the first non-invasive sensing device and the second non-invasive sensing device are configured to interrogate the tissue site at distinct and different time periods.

7. The system of claim 1, wherein the second non-invasive sensing device comprises a Raman spectrometer, wherein the second physiological data corresponds to Raman spectra associated with the tissue site.

8. The system of claim 7, wherein the one or more processors are further configured to determine an isolated Raman signal by reducing or removing at least one of an effect of fluorescence or an effect of absorption from the second signal.

9. The system of claim 1, wherein the one or more processors are further configured to determine a path length associated with the tissue site based at least in part on the first signal, wherein the determination of the physiological parameter is based at least in part on the determined path length.

10. The system of claim 1, wherein the one or more processors are further configured to determine an absorption of light of the tissue site based at least in part on the second signal, wherein the determination of the physiological parameter is based at least in part on the determined absorption of light.

11. The system of claim 1, wherein physiological parameter comprises a blood glucose concentration associated with the tissue site.

13. A method for determining a physiological parameter by harmonizing data between two or more different types of non-invasive physiological sensors interrogating the same or proximate measurement sites, the method comprising:

receiving a first signal from a first non-invasive sensing device of a first type, wherein the first non-invasive sensing device is configured to interrogate a tissue site of a patient and generate the first signal, wherein the first signal is indicative of first physiological data associated with the tissue site;

receiving a second signal from a second non-invasive sensing device of a second type that is different from the first type, wherein the second non-invasive sensing device is configured to interrogate the tissue site of the patient and generate the second signal, wherein the second signal is indicative of second physiological data associated with the tissue site;

determining a physiological parameter based at least in part on the first and second signals.

12. The system of claim 16, wherein second non-invasive sensing device comprises a Raman spectrometer, wherein one or more processors are further configured to calibrate the second non-invasive sensing device based at least in part on the first signal, wherein to calibrate the Raman spectrometer, the one or more processors are configured to select at least one of a focal depth, a focal length, a wavelength, or a refractive index, associated with the Raman spectrometer.

14. The method of claim 13, wherein the first non-invasive sensing device comprises one or more of an optical coherence tomography (OCT) sensor, a bioimpedance sensor, or a tissue dielectric constant sensor, wherein the first physiological data comprises tissue geometry data corresponding to the tissue site.

15. The method of claim 13, wherein the first non-invasive sensing device comprises a plethysmography sensor, wherein the plethysmography sensor comprises one or more of a pulse oximetry sensor, a transmission plethysmography sensor, or a reflectance plethysmography sensor.

16. The method of claim 13, wherein the first non-invasive sensing device and the second non-invasive sensing device are configured to simultaneously interrogate the tissue site.

17. The method of claim 13, wherein the second non-invasive sensing device comprises a Raman spectrometer.

18. The method of claim 13, further comprising determining an isolated Raman signal by reducing or removing at least one of an effect of fluorescence or an effect of absorption from the second signal.

19. The method of claim 13, further comprising determining a path length associated with the tissue site based at least in part on the first signal, wherein said determining the physiological parameter is based at least in part on the determined path length.

20. The method of claim 13, further comprising determining an absorption of light of the tissue site based at least in part on the second signal, wherein said determining the physiological parameter is based at least in part on the determined absorption of light.