Non-invasive method and apparatus for determining a physiological parameter

• US 20050192488A1
• Filed: 02/11/2005
• Published: 09/01/2005
• Est. Priority Date: 02/12/2004
• Status: Abandoned Application

• Current Assignee: Biopeak Corporation
• Original Assignee: Biopeak Corporation
• Inventors: Batkin, Izmail, Bryenton, Alan
• Application Number:
  US11/055,078
• Publication Number:
  US 20050192488A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/0002 Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network A61B5/07 takes precedence; transmission systems for measured values G08C; transmission H04B; transmission of digital information H04L; wireless communication networks H04W
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• 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 5/0537 Measuring body composition by impedance, e.g. tissue hydration or fat content
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/352 Detecting R peaks, e.g. for synchronising diagnostic apparatus; Estimating R-R interval
• CPC Class Codes: A61B 5/4869 Determining body composition
• CPC Class Codes: A61B 5/4872 Body fat

Abstract

The present invention relates to an apparatus and method for the non-invasive analysis of physiological attributes, such as heart rate, blood pressure, cardiac output, respiratory response, body composition, and blood chemistry analytes including glucose, lactate, hemoglobin, and oxygen saturation. Using a combination of multi-functioning disparate sensors, such as optical and electrical, improvements are made over existing physiological measurement devices and techniques. The special configuration of one or more multi-functional sensors is used to non-invasively measure multi-wavelength optical plus one or more of ECG, Bio-impedance, and RF-impedance spectroscopic data. This information is used to develop self-consistent, non-linear algorithm in order to derive the physiological attributes while compensating for various forms of interfering effects including motion artifacts, sensor attachment variability, device component variability, subject physical and physiology variability, and various interfering physiological attributes.

Claims

1. A method of determining a physiological parameter of a subject comprising:

a) generating or detecting signals representing at least two disparate physical properties of the subject, each of said disparate physical properties having a value that varies in dependence on said physiological parameter and is independently capable of giving a measurement thereof;

b) determining the effect of changes in said physiological parameter on each of said at least two disparate physical properties; and

c) processing said signals to derive said physiological parameter from the aggregate effect of said physiological parameter on said at least two disparate physical properties.

2. A method as claimed in claim 1, wherein calibration data are obtained to determine the effect of changes in said physiological parameter.

3. A method as claimed in claim 2, wherein said calibration data are predetermined experimentally and stored in a memory.

4. A method as claimed in claim 3, wherein said calibration data are stored in a table in said memory.

5. A method as claimed in claim 1, wherein said effect is determined from a model of animal physiology.

6. A method as claimed in claim 2, wherein said processing of said signals comprises performing a statistical analysis on said signals and said calibration data to determine a final value for said physiological parameter.

7. A method as claimed in claim 1, wherein said disparate physical properties comprise optical properties and bioelectrical properties.

8. A method as claimed in claim 7, wherein said optical property comprises the absorption or scattering properties at one or more wavelengths or a combination thereof.

9. A method as claimed in claim 7, wherein said bioelectrical property is complex bio-impedance obtained at low frequency.

10. A method as claimed in claim 7, wherein said bioelectrical property is complex bio-impedance obtained at RF frequencies.

11. A method as claimed in claim 7, wherein said bioelectrical property is a signal generated directly by the subject'"'"'s body.

12. A method as claimed in claim 1, wherein said signals have multiple attributes related to said physical properties, and said physiological parameter is derived from the aggregate effect of said physiological parameter on said multiple attributes.

13. A method as claimed in claim 12, wherein one of said properties is optical and said attributes include absorption or scattering characteristics or a combination thereof.

14. A method as claimed in claim 13, wherein said attributes include absorption and scattering characteristics at multiple wavelengths.

15. A method as claimed in claim 14, wherein said attributes includes the values and rates of change of said signals at multiple wavelengths.

16. A method as claimed in claim 12, wherein one of said properties is bio-impedance, and said attributes are selected from the group consisting of the mean and temporal properties of impedance magnitude, impedance phase and combinations thereof.

17. A method as claimed in claim 1, wherein said signals are generated by sensors mounted on at least one common module.

18. A method as claimed in claim 17, wherein the or each said common module is configured to accept a subject'"'"'s hand and generate said signals from sensors engaging various parts of the subject'"'"'s hand and fingers.

19. A method as claimed in claim 1, wherein said physiological parameter is glucose concentration, hydration or lactate concentration and said signals are generated from bio-impedance measurements and optical absorption or scattering properties.

20. A method of determining a physiological parameter of a subject comprising:

sensors capable of generating signals representing optical and bioelectrical properties of the subject, each of said properties having a value that varies in dependence on said physiological parameter and is independently capable of giving a measurement thereof;

determining the effect of changes in said physiological parameter on each of said optical and electrical properties; and

processing said signals to derive said physiological parameter from the aggregate effect of said physiological parameter on said optical and bioelectrical properties.

21. A method as claimed in claim 20, wherein said bioelectrical property comprises complex impedance or signals generated directly by the subject'"'"'s body.

22. A method as claimed in claim 21, wherein said optical property comprises absorption or scattering characteristics, or a combination thereof.

23. A method as claimed in claim 22, wherein said absorption and scattering characteristics are measured at multiple wavelengths.

24. A method as claimed in claim 20, wherein said signals have multiple attributes, and said physiological parameter is derived from the said multiple attributes for each of said signals.

25. An apparatus for determining a physiological parameter of a subject comprising:

at least two sensors for generating or detecting signals representing disparate physical properties of the subject, each of said disparate physical properties having a value that varies in dependence on said physiological parameter and is independently capable of giving a measurement thereof; and

a processor configured to process said signals to derive said physiological parameter from the aggregate effect of changes in said physiological parameter on said at least two disparate physical properties.

26. An apparatus as claimed in claim 25, further comprising a memory for storing calibration data for each of said physical properties or a model of said physical properties, and wherein said processor derives said physiological parameter by analyzing said signals and said calibration data or model.

27. An apparatus as claimed in claim 26, wherein said processor performs a statistical analysis on said signals and said calibration data or model to derive said physiological parameter.

28. An apparatus as claimed in claim 25, wherein said processor determines the effect of changes in said physiological parameter from a model of the physiology of an animal.

29. An apparatus as claimed in claim 25, wherein said disparate physical properties comprise optical properties and bioelectrical properties, and said sensors comprises an optical sensor and a bio-electrical sensor.

30. An apparatus as claimed in claim 29, wherein said optical sensor is responsive to the absorption or scattering properties of the subject at one or more wavelengths.

31. An apparatus as claimed in claim 29, wherein said bio-electrical sensor is responsive to RF waves to generate a complex impedance.

32. An apparatus as claimed in claim 29, wherein said bio-electrical sensor is responsive to low frequency waves to generate a complex impedance.

33. An apparatus as claimed in claim 29, wherein said bio-electrical sensor detects signals generated within the subject.

34. An apparatus as claimed in claim 25, wherein said signals have attributes related to said physical properties, and said physiological parameter is derived from the aggregate effect of said physiological parameter on said attributes.

35. An apparatus as claimed in claim 34, wherein one of said properties is optical and said attributes include absorption and scattering characteristics.

36. An apparatus as claimed in claim 35, wherein said attributes include absorption and scattering characteristics at multiple wavelengths.

37. An apparatus as claimed in claim 25, wherein one of said properties is bio-impedance, and said attributes are selected from the group consisting of the mean and temporal properties of impedance magnitude, impedance phase and combinations thereof.

38. An apparatus as claimed in claim 25, comprising one or more common modules mounting said sensors.

39. An apparatus as claimed in claim 38, wherein the or each said common module is configured to accept a subject'"'"'s hand and generate said signals from sensors engaging various parts of the subject'"'"'s hand and fingers.

40. An apparatus as claimed in claim 25, further comprising a passive circuit block for generating compensatory signals to compensate for the effect of environmental or other changes on said at least two signals.

41. An apparatus as claimed in claim 40, wherein said compensatory signals are selected from the group consisting of ECG, pressure or temperature signals.

42. An apparatus as claimed in claim 25, further comprising a communications interface for communicating with a remote operator.

43. An apparatus for determining a physiological parameter of a subject comprising:

at least two sensors for generating or detecting signals representing optical and bioelectrical properties of the subject, each of properties having a value that varies in dependence on said physiological parameter and is independently capable of giving a measurement thereof; and

a processor configured to process said signals to derive said physiological parameter from the aggregate effect of changes in said physiological parameter on said at least optical and bioelectrical properties.

44. An apparatus as claimed in claim 43, comprising a plurality of sensor modules, at least one of which contains at least two said sensors.

45. An apparatus as claimed in claim 44, further comprising a crosspoint switch for selectively connecting said sensor modules to said processor.

46. An apparatus as claimed in claim 43, wherein said processor derives said physiological parameter from said signals using a model of animal physiology.

47. An apparatus as claimed in claim 43, wherein said processor derives said physiological parameter from said signals using calibration data stored in a memory.