Pulse oximeter with parallel saturation calculation modules

• US 7,302,284 B2
• Filed: 01/19/2005
• Issued: 11/27/2007
• 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
• Assistant Examiner(s): Berhanu; Etsub D
• Application Number:
  US11/039,529
• Publication Number:
  US 20050124871A1
• Time in Patent Office: 1,042 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 said 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 configured to filter 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, and

an arbitration 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.

2. The oximeter of claim 1, wherein the second saturation calculation algorithm is configured to solve for the ratio of ratios.

3. The oximeter of claim 1, wherein the saturation confidence is based on noise characteristics of the first and second digital signals.

4. The oximeter of claim 1, wherein the wavelengths are red and infrared.

5. The oximeter of claim 1, wherein the saturation confidence is based on a motion indication.

6. A method for determining oxygen saturation, comprising:

detecting first and second electromagnetic radiation signals from a patient corresponding to first and second wavelengths of light;

determining a first oxygen saturation value correlative to the first and second signals using a first saturation calculation algorithm;

determining a second oxygen saturation value correlative to the first and second signals using a second saturation calculation algorithm; and

arbitrating 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.

7. The method of claim 6, wherein the second saturation calculation algorithm includes a ratio of ratios calculation.

8. The method of claim 6, wherein the saturation confidence is based on noise characteristics of the first and second signals.

9. The method of claim 6, wherein the wavelengths are red and infrared.

10. The method of claim 6, wherein the saturation confidence is based on a motion indication.