Sensor, apparatus and method for non-invasive measurement of oxygen saturation

• US 5,285,783 A
• Filed: 10/13/1992
• Issued: 02/15/1994
• Est. Priority Date: 02/15/1990
• Status: Expired due to Fees

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Hewlett-Packard Company (HP Inc.)
• Inventors: Secker, Herbert
• Primary Examiner(s): Howell, Kyle L.
• Assistant Examiner(s): NASSER, ROBERT L
• Application Number:
  US07/959,742
• Time in Patent Office: 490 Days
• Field of Search: 128/633, 128/666, 356/41, 364/412.03
• US Class Current: 600/323
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/0242 for varying or adjusting the optical path length in the tissue
• CPC Class Codes: A61B 2562/043 in a linear array
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 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 5/1464 specially adapted for foetal tissue
• CPC Class Codes: A61B 5/252 by suction
• CPC Class Codes: A61B 5/4362 Assessing foetal parameters
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/7232 involving compression of the physiological signal, e.g. to extend the signal recording period
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: G01N 21/49 within a body or fluid

Abstract

A sensor for non-invasive measurement of oxygen saturation using the reflection method comprises a red transmitter (55), an infrared transmitter (58) and a receiver (57). The distances between the transmitters and the receiver are selected such that the length of the light path (60, 61) between the red transmitter (55) and the receiver (57) is substantially equal to the length of the light path (62, 63) between the infrared transmitter (58) and the receiver (57). The sensor comprises a further red transmitter (56) which is used for another application at the human body or another tissue characteristics where the depth of penetration at the various wavelengths is different from the shown example. Together with an appropriate oximeter, manual or automatic adaptation is possible. Further signal improvement may be obtained by autocorrelating the received signal, detecting its frequency and cross-correlating it with a pattern function of the same frequency.

Claims

1. A method for calculating oxygen saturation from an intensity of electromagnetic waves of at least two different wavelengths passing through human tissue, wherein said electromagnetic waves include one predefined wavelength that passes through human tissue along differing paths, the method comprising the processor-controlled steps of:

irradiating said human tissue with said electromagnetic waves;

receiving said electromagnetic waves that pass through said human tissue;

converting intensities of received electromagnetic waves into electrical signals;

comparing the electrical signals corresponding to the electromagnetic waves of said predefined wavelength with sets of predefined signals representative of certain places of application to the human body or representative of certain tissue characteristics;

selecting a set of predefined signals having the most common characteristics with said electrical signals corresponding to the electromagnetic waves of said predefined wavelength;

correcting said electrical signals corresponding to the electromagnetic waves of said predefined wavelength in a manner dependent upon the selected set; and

calculating oxygen saturation from said corrected electrical signals.

2. A method for measuring oxygen saturation from the intensity of electromagnetic waves of at least two different wavelengths passing through human tissue, wherein electromagnetic waves incorporating one predefined wavelength pass through human tissue on differing paths, said method comprising computer-controlled steps of:

selecting sequentially certain transmitter-receiver pairs so that different paths for said electromagnetic waves are set up;

irradiating said human tissue with electromagnetic waves traveling along said different paths.

receiving said electromagnetic waves that pass through said human tissue along said different paths;

converting intensities of received electromagnetic waves into electrical signals;

comparing each of the electrical signals associated with a said certain transmitter-receiver pair with sets of predefined signals representative of certain places of application or representative of certain tissue characteristics;

selecting those of said electrical signals which exhibit most common characteristics with a certain of said sets;

selecting the transmitter-receiver pair associated with said electrical signals that exhibits the most common characteristics with a certain of said sets; and

performing further oxygen saturation measurements only with electrical signals from the selected transmitter-receiver pair.

3. A method for calculating oxygen saturation from the intensity of electromagnetic waves of at least two different wavelengths reflected by or transmitted through human tissue, said method comprising computer-controlled steps of:

irradiating said human tissue with said electromagnetic waves;

receiving said electromagnetic waves that are reflected by or pass through said human tissue;

converting intensities of received electromagnetic waves into electrical signals;

performing an autocorrelation on at least one of said electrical signals to enhance periodic properties of said at least one electrical signal;

detecting the frequency of said one electrical signal from the autocorrelation;

performing a cross correlation between said at least one electrical signal and a predefined signal of substantially the same frequency to enhance periodic properties occurring at said same frequency;

detecting the maximum amplitude of said cross-correlation; and

calculating oxygen saturation through use of said maximum amplitude.

4. A method according to claim 3 further comprising the steps of:

entering the place of application of a sensor; and

selecting said predefined signal from a set of predefined signals in dependency of the place of application of said sensor.

5. A method according to claim 3, further comprising the steps of:

comparing said at least one electrical signal with sets of pattern signals representative of certain places of application to the human body or representative of certain tissue characteristic; and

selecting a pattern of signals having the most common characteristics with said at least one electrical signal as the predefined signal.

6. A method according to claim 5 wherein the comparison between said at least one electrical signal and said sets of pattern signals comprises the added step of:

sequentially cross-correlating said at least one electrical signal with each pattern signal in said set of pattern signals.

7. A method according to claim 3 comprising the added step of:

compressing or expanding a general predefined signal to cause said general predefined signal to become a said predefined signal of the frequency of said at least one electrical signal.

8. A method according to claim 3 for additionally measuring the heart rate from the intensity of electromagnetic waves of at least two different wavelengths passing through human tissue, comprising the added step of:

detecting heart rate as the frequency of said at least one electrical signal from the autocorrelation.