Pulse oximeter with parallel saturation calculation modules

• US 7,315,753 B2
• Filed: 03/22/2004
• Issued: 01/01/2008
• Est. Priority Date: 08/07/1995
• Status: Expired due to Fees

• Current Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Original Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Inventors: Yorkey, Thomas J., Baker, Clark R. Jr.
• Primary Examiner(s): Winakur; Eric F.
• Assistant Examiner(s): Berhanu; Etsub D
• Application Number:
  US10/806,647
• Publication Number:
  US 20040181134A1
• Time in Patent Office: 1,380 Days
• Field of Search: 600/322, 600/323, 600/324
• US Class Current: 600/323
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• 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 5/7203 for noise prevention, reduction or removal
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7239 using differentiation including higher order derivatives
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: H03H 21/003 KALMAN filters

Abstract

A method and apparatus for reducing the effects of noise on a system for measuring physiological parameters, such as, for example, a pulse oximeter. The method and apparatus of the invention take into account the physical limitations on various physiological parameters being monitored when weighting and averaging a series of measurements. Varying weights are assigned different measurements, measurements are rejected, and the averaging period is adjusted according to the reliability of the measurements. Similarly, calculated values derived from analyzing the measurements are also assigned varying weights and averaged over adjustable periods. More specifically, a general class of filters such as, for example, Kalman filters, is employed in processing the measurements and calculated values. The filters use mathematical models which describe how the physiological parameters change in time, and how these parameters relate to measurement in a noisy environment. The filters adaptively modify a set of averaging weights to optimally estimate the physiological parameters.

Claims

1. A pulse oximeter comprising:

a sensor configured to detect first and second electromagnetic radiation signals from a patient corresponding to first and second wavelengths of light;

an analog to digital converter, coupled to the sensor, for converting the first and second electromagnetic radiation signals into first and second digital signals; and

a processor, coupled to the analog to digital converter, the processor being programmed with

a filter module for filtering the first and second digital signals,

a normalization module configured to normalize the first and second digital signals;

a first oxygen saturation calculation module configured to determine a first oxygen saturation value using a first saturation calculation algorithm applied to the first and second digital signals,

a second oxygen saturation calculation module configured to determine a second oxygen saturation value using a second saturation calculation algorithm applied to the first and second digital signals,

a best saturation module configured to arbitrate between the first and second oxygen saturation values based on a saturation confidence associated with the first and second oxygen saturation values to select a best oxygen saturation value,

a first pulse rate calculation module configured to determine a first pulse rate from the first and second digital signals using a first pulse rate algorithm,

a second pulse rate calculation module configured to determine a second pulse rate from the first and second digital signals using a second pulse rate algorithm, and

a best rate module configured to arbitrate between the first and second pulse rates based on a pulse rate confidence associated with the first and second pulse rate signals to select a best pulse rate.

2. The oximeter of claim 1, wherein the first saturation calculation algorithm is configured to perform adaptive filtering.

3. The oximeter of claim 1, wherein the second saturation calculation algorithm is configured to utilize the ratio of ratios.

4. The oximeter of claim 1, wherein the first pulse rate algorithm is configured to analyze a waveform of said first and second digital signals.

5. The oximeter of claim 4, wherein the second pulse rate algorithm is configured to analyze a frequency of the first and second digital signals.

6. The oximeter of claim 5, wherein the second pulse rate algorithm includes a comb filter.

7. The oximeter of claim 1, wherein the saturation confidence and the pulse rate confidence are based on noise characteristics of the first and second digital signals.

8. The oximeter of claim 1, wherein the program is configured to provide a first confidence level associated with the first oxygen saturation value, and a second confidence level associated with the second oxygen saturation value and wherein the best saturation module is configured to compare the first and second confidence levels, and select as the best oxygen saturation value one associated with one of the first and second confidence levels which is greater than the other of the first and second confidence levels by at least a first amount.

9. An apparatus for measuring a blood constituent, comprising:

a plurality of blood constituent value calculators for determining a plurality of possible blood constituent values, each of the possible blood constituent values having a confidence level associated therewith based on at least one quality metric; and

an arbitrator configured to arbitrate between the plurality of possible blood constituent values with regard to the confidence levels to determine a measure of the blood constituent, the arbitrator being further configured to linearly interpolate between the plurality of possible blood constituent values to generate the measure of the blood constituent where none of the confidence levels is greater than all other confidence levels by more than a first amount.

10. An apparatus configured to determine a patient'"'"'s pulse rate using signals corresponding to energy transmitted through the tissue of a patient, comprising:

a plurality of pulse rate finders for determining a plurality of possible pulse rates, each of the possible pulse rates having a confidence level associated therewith based on at least one quality metric; and

an arbitrator configured to arbitrate between the plurality of possible pulse rates with regard to the confidence levels to determine the patient'"'"'s pulse rate, including linearly interpolating between the plurality of possible pulse rates to generate the patient'"'"'s pulse rate where none of the confidence levels is greater than all other confidence levels by more than a first amount.

11. An apparatus for determining a patient'"'"'s pulse rate using data corresponding to energy transmitted through the tissue of a patient, comprising:

a plurality of pulse rate finders configured to determine a plurality of possible pulse rates, each of the possible pulse rates having a confidence level associated therewith based on at least one quality metric; and

an arbitrator configured to arbitrate between the plurality of possible pulse rates with regard to the confidence levels to determine the patient'"'"'s pulse rate, wherein one pulse rate finder includes;

a comb filter configured to remove signal energy from the data corresponding to a fundamental frequency and harmonics thereof,

a frequency selector configured to determine a particular harmonic frequency which minimizes noise energy at an output of the comb filter, the particular harmonic frequency corresponding to the fundamental frequency, and

a pulse rate generator configured to generate the possible pulse rate corresponding to the particular harmonic frequency.

12. The apparatus of claim 11, wherein the frequency selector is further configured to calculate squared noise for the data, calculate a second derivative of the squared noise with respect to the fundamental frequency, and perform a Newton-Raphson search to determine the particular harmonic frequency.

13. The apparatus of claim 11, wherein the frequency selector is further configured to evaluate a power spectrum corresponding to the data to determine which of a plurality of peaks in the power spectrum corresponds to the fundamental frequency, and verify that the particular harmonic frequency corresponds to the fundamental frequency based on the evaluating.

14. The apparatus of claim 11, wherein the plurality of pulse rate finders are configured to select the at least one quality metric from one of pulse signal shape, signal-to-noise ratio, correlation of the at least one wavelength of electromagnetic energy, or arrhythmia probability.

15. The apparatus of claim 11, wherein the at least one quality metric comprises a correlation between the data corresponding to two wavelengths of electromagnetic energy.

16. An apparatus for determining a patient'"'"'s pulse rate using data corresponding to energy transmitted through the tissue of a patient, comprising:

a plurality of pulse rate finders configured to determine a plurality of possible pulse rates, each of the possible pulse rates having a confidence level associated therewith based on at least one quality metric, wherein one pulse rate finder is configured to determine its corresponding possible pulse rate by comparing the data to a predetermined waveform template, identify a sequence of waveform characteristics indicative of a waveform period, average a number of successive waveform periods to determine an average waveform period, and determine the corresponding possible pulse rate from the average waveform period; and

an arbitrator configured to arbitrate between the plurality of possible pulse rates with regard to the confidence levels to determine the patient'"'"'s pulse rate.

17. The apparatus of claim 16, wherein the pulse rate finders are configured to select at least one quality metric from one of a motion indication or a proportion of motion corrupted pulse periods detected over a time interval.

18. An apparatus for determining a pulse rate of a patient using data corresponding to at least one wavelength of electromagnetic energy transmitted through tissue of the patient, comprising:

an adaptive comb filter configured to track a fundamental frequency to filter the data and to thereby generate a first pulse rate, the first pulse rate having a first confidence level associated therewith based on at least one quality metric;

a comparator configured to compare the data to a predetermined waveform template to generate a second pulse rate, the second pulse rate having a second confidence level associated therewith based on the at least one quality metric; and

an arbitrator configured to arbitrate between the first and second pulse rates with regard to the first and second confidence levels to determine the patient'"'"'s pulse rate.

19. The apparatus of claim 18, wherein the comb filter is configured to remove signal energy from the data corresponding to the fundamental frequency and harmonics thereof and determine a particular harmonic frequency which minimizes noise energy at an output of the comb filter, the particular harmonic frequency corresponding to the fundamental frequency.

20. The apparatus of claim 19, wherein the comb filter is further configured to calculate squared noise for the data, calculate a second derivative of the squared noise with respect to the fundamental frequency, and perform a Newton-Raphson search to determine the fundamental frequency.

21. The apparatus of claim 18, wherein the comb filter is further configured to evaluate a power spectrum corresponding to the data to determine which of a plurality of peaks in the power spectrum corresponds to the fundamental frequency, and verify that the particular harmonic frequency corresponds to the fundamental frequency based on said evaluating.

22. The apparatus of claim 18, wherein the comb filter uses Kalman filtering of the first pulse rate to determine a filtered first pulse rate.

23. The apparatus of claim 18, wherein the comparator is further configured to identify a sequence of waveform characteristics indicative of a waveform period, average a number of successive waveform periods to determine an average waveform period, and determine the second pulse rate from the average waveform period.

24. The apparatus of claim 18, wherein the arbitrator is further configured to compare the first and second confidence levels, and select as the patient'"'"'s pulse rate one of the first and second confidence levels which is greater than the other of the first and second confidence levels by at least a first amount.

25. The apparatus of claim 18, wherein the arbitrator is further configured to linearly interpolate between the first and second pulse rates to generate the patient'"'"'s pulse rate where neither of the first and second confidence levels is greater than the other of the first and second confidence levels by more than a first amount.

26. The apparatus of claim 18, further comprising a quality metric generator configured to generate the at least one quality metric from the group consisting of pulse signal shape, signal-to-noise ratio, correlation of the at least one wavelength of electromagnetic energy, and arrhythmia probability.

27. The apparatus of claim 18, wherein there are two wavelengths of electromagnetic energy, and the at least one quality metric corresponding to the first confidence level comprises a correlation between the data corresponding to the two wavelengths.

28. The apparatus of claim 18, wherein the at least one quality metric corresponding to the second confidence level is selected from the group consisting of a motion indication and a proportion of motion corrupted pulse periods detected over a time interval.

29. The apparatus of claim 18, further comprising a preprocessor, wherein said preprocessor comprises:

a logarithmic module for taking the logarithm of a signal representative of the at least one wavelength of electromagnetic energy, thereby generating a first signal;

a band pass filter for band pass filtering the first signal, thereby generating a second signal; and

a normalizer for normalizing the second signal, thereby generating the data; and

wherein the comb filter is configured to take the derivative of the data.