Bioimpedance system and sensor and technique for using the same

• US 8,406,865 B2
• Filed: 09/30/2008
• Issued: 03/26/2013
• Est. Priority Date: 09/30/2008
• Status: Active Grant

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Covidien LP (Medtronic Plc)
• Inventors: McKenna, Edward M.
• Primary Examiner(s): HINDENBURG, MAX F
• Application Number:
  US12/241,428
• Publication Number:
  US 20100081960A1
• Time in Patent Office: 1,638 Days
• Field of Search: 204/403.01, 340/573.1, 340/539.12, 600/310, 600/345, 600/372, 600/407, 600/473, 600/475, 600/476, 600/477, 600/506, 600/547, 600/509, 600/322, 604/361
• US Class Current: 600/547
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/043 in a linear array
• 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 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/4869 Determining body composition

Abstract

A sensor assembly and/or systems for bioimpedance measurements may provide information related to the lean body water of the patient'"'"'s tissue. The information related to the patient'"'"'s lean body water may be determined by spectroscopic methods for determining water fraction. The patient'"'"'s fat-free hydration levels may be incorporated into determinations of physiological parameters that may be determined by bioimpedance, such as cardiac output, hemtocrit, or body fat percentage.

Claims

1. A monitoring system comprising a processor configured to execute instructions to:

receive a bioimpedance signal from at least one bioimpedance sensor;

receive a water fraction signal from at least one optical water fraction sensor;

determine a tissue hydration based on the water fraction signal; and

determine a physiological parameter value based on the bioimpedance signal and a correction factor, wherein the correction factor is based on the tissue hydration.

2. The system as set forth in claim 1, wherein the physiological parameter value comprises stroke volume.

3. The system as set forth in claim 1, wherein the water fraction signal is used to determine a hydration factor based on lean body water content.

4. The system as set forth in claim 3, wherein the hydration factor is used as part of an algorithm to determine the physiological parameter value.

5. The system as set forth in claim 3, wherein the hydration factor is compared to one or more values in a stored look-up table to determine the corrected physiological parameter value.

6. The system as set forth in claim 1, comprising a sensor assembly capable of generating the bioimpedance signal and the water fraction signal.

15. The system as set forth in claim 1, wherein the physiological parameter value comprises hematocrit.

16. The system as set forth in claim 1, wherein the physiological parameter value comprises body weight.

17. The system as set forth in claim 4, wherein the hydration factor is substituted for a hydration factor assumption of the algorithm prior to the calculation of the physiological parameter.

7. A method, comprising:

receiving a bioimpedance signal from at least one bioimpedance sensor;

receiving a water fraction signal from at least one optical water fraction sensor;

determining lean body water content based on the water fraction signal; and

determining a physiological parameter value based at least in part on the bioimpedance signal and the lean body water content using an algorithm, wherein the lean body water content is used to correct for a hydration assumption in the algorithm; and

providing an output related to the physiological parameter.

8. The method as set forth in claim 7, wherein determining the physiological parameter comprises determining stroke volume.

18. The method as set forth in claim 7, wherein determining the physiological parameter value comprises determining hematocrit, body weight, or both.

9. A patient monitoring system comprising:

a sensor assembly comprising;

a plurality of electrodes disposed on a sensor body, wherein at least one of the electrodes is capable of generating a signal related to an impedance of a patient'"'"'s tissue; and

a water fraction sensor disposed on the sensor body, wherein the water fraction sensor comprises an emitter capable of emitting light into the patient'"'"'s tissue and a detector capable of detecting the light; and

a monitor comprising a processor configured to;

determine a hydration factor of the patient based on a signal from the water fraction sensor; and

determine a physiological parameter of the patient based on a signal from the plurality of electrodes using an algorithm, wherein the hydration factor is substituted for a hydration factor assumption of the algorithm.

10. The patient monitoring system as set forth in claim 9, wherein the plurality of electrodes comprise a dipole electrode patch.

11. The patient monitoring system as set forth in claim 9, wherein the emitter is configured to emit at least two different wavelengths of light, wherein a first wavelength of light is between 1380-1390 nm, and a second wavelength is between 1660-1680 nm.

12. The patient monitoring system as set forth in claim 9, wherein the emitter is capable of emitting at least three different wavelengths of light.

13. The patient monitoring system as set forth in claim 9, wherein the emitter and the detector are spaced between about 1 mm and about 5 mm apart on the sensor body.

14. The patient monitoring system as set forth in claim 9, comprising at least a second detector spaced apart from the emitter.

19. The patient monitoring system as set forth in claim 9, wherein the algorithm comprises calculating hemodynamic properties using Kubicek'"'"'s equation, wherein Kubicek'"'"'s equation comprises:

SV=R(L/Zσ

)₂(VET)(dZ/dt_min),

wherein SV is a stroke volume, R is a blood resistivity, L is a distance between the plurality of electrodes, Zσ

is a mean thoracic impedance determined from the plurality of electrodes, VET is a ventricular ejection time, and dZ/dt_min is a maximum negative slope change of a time-differentiated impedance signal.

20. The patient monitoring system as set forth in claim 12, wherein a first wavelength is between approximately 950-1400 nm, a second wavelength is between approximately 1500-1800 nm, and a third wavelength between approximately 2000-2300 nm.

21. The patient monitoring system as set forth in claim 12, wherein a first wavelength is approximately 1125 nm, a second wavelength is approximately 1185 nm, and a third wavelength is approximately 1250 nm.

22. The patient monitoring system as set forth in claim 12, wherein a first wavelength is approximately 1190 nm, a second wavelength is approximately 1170 nm, and a third wavelength is approximately 1274 nm.

23. The patient monitoring system as set forth in claim 12, wherein each of a first, second, and third wavelength is selected from the wavelength range between approximately 1710-1740 nm.