Method of analyzing and processing signals

• US 9,220,460 B2
• Filed: 08/20/2012
• Issued: 12/29/2015
• Est. Priority Date: 02/27/2003
• Status: Active Grant

• Current Assignee: Nellcor Puritan Bennett Ireland
• Original Assignee: Nellcor Puritan Bennett Ireland
• Inventors: Addison, Paul Stanley, Watson, James Nicholas
• Primary Examiner(s): D'ANGELO, MICHAEL J
• Application Number:
  US13/590,111
• Publication Number:
  US 20130046185A1
• Time in Patent Office: 1,226 Days
• Field of Search: 600/323, 600/309, 600/310, 600/324, 600/481, 600/502, 600/529, 600/534
• US Class Current: 1/1
• CPC Class Codes: A61B 2503/06 Children, e.g. for attention deficit diagnosis
• 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 5/0082 adapted for particular medical purposes
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• 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 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/6826 Finger
• CPC Class Codes: A61B 5/6829 Foot or ankle
• CPC Class Codes: A61B 5/6838 Clamps or clips
• CPC Class Codes: A61B 5/6896 Toys
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7214 using signal cancellation, e.g. based on input of two identical physiological sensors spaced apart, or based on two signals derived from the same sensor, for different optical wavelengths
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G01N 21/3151 using two sources of radiation of different wavelengths G01N21/33 - G01N21/39 take precedence

Abstract

A physiological measurement system is disclosed which can take a pulse oximetry signal such as a photoplethysmogram from a patient and then analyse the signal to measure physiological parameters including respiration, pulse, oxygen saturation and movement. The system comprises a pulse oximeter which includes a light emitting device and a photodetector attachable to a subject to obtain a pulse oximetry signal; analogue to digital converter means arranged to convert said pulse oximetry signal into a digital pulse oximetry signal; signal processing means suitable to receive said digital pulse oximetry signal and arranged to decompose that signal by wavelet transform means; feature extraction means arranged to derive physiological information from the decomposed signal; an analyser component arranged to collect information from the feature extraction means; and data output means arranged in communication with the analyser component.

Claims

1. A method for determining an artifact pertaining to physiological movement, comprising:

obtaining a photoplethysmographic (PPG) biosignal from a subject at least in part using a signal acquisition unit;

decomposing, using a signal processor, the PPG biosignal at least in part using a wavelet transform analysis to obtain transform data, the transform data comprising a time axis, a scale axis, and an amplitude axis;

identifying, using the signal processor, a plurality of amplitude maxima points in the transform data in the direction of the time axis;

setting, using the signal processor, an amplitude threshold;

determining, using the signal processor, the artifact pertaining to physiological movement based at least in part on the plurality of amplitude maxima points and the amplitude threshold;

determining, using the signal processor, a physiological parameter of the subject based at least in part on the PPG biosignal, the physiological parameter comprising at least on of;

respiration rate, pulse rate, and oxygen saturation; and

determining, using the signal processor, a confidence measurement pertaining to the physiological parameter based at least in part on determining the artifact.

2. The method of claim 1, wherein the signal acquisition unit comprises a photodetector.

3. The method of claim 1, wherein the transform data comprises data for a set of scales.

4. The method of claim 3, wherein the set of scales includes one or more scales corresponding to a pulse ridge and the amplitude threshold is based at least in part on a mean value of the pulse ridge.

5. The method of claim 3, wherein the set of scales includes one or more scales corresponding to a respiration ridge and the amplitude threshold is based at least in part on a mean value of the respiration ridge.

6. The method of claim 1, further comprising:

determining, using the signal processor, a region containing the artifact in the time-scale plane of the transform data; and

defining, using the signal processor, in the region, a cone of influence of the artifact based at least in part on the widths of the wavelet function used in the wavelet transform analysis.

7. The method of claim 6, wherein the widths of the wavelet function are based at least in part on a standard deviation of temporal spread.

8. The method of claim 1, further comprising holding, using the signal processor, measurements pertaining to a physiological parameter at a previous value based at least in part on the artifact.

9. The method of claim 1, further comprising:

identifying, using the signal processor, the plurality of amplitude maxima points in the transform data in the direction of the time axis for at least two scales;

setting, using the signal processor, one or more amplitude thresholds for the at least two scales; and

determining, using the signal processor, the artifact pertaining to physiological movement based at least in part on the plurality of amplitude maxima points for the at least two scales and the one or more amplitude thresholds.

10. A monitoring system for determining an artifact pertaining to physiological movements, the system comprising:

a signal acquisition unit attachable to a subject to obtain a photoplethysmographic (PPG) biosignal; and

a signal processor configured to;

decompose the PPG biosignal at least in part using a wavelet transform analysis to obtain transform data, the transform data comprising a time axis, a scale axis, and an amplitude axis;

identify a plurality of amplitude maxima points in the transform data in the direction of the time axis;

set an amplitude threshold;

determine the artifact pertaining to physiological movement based at least in part on the plurality of amplitude maxima points and the amplitude threshold;

determine a physiological parameter of the subject based at least in part on the PPG biosignal, the physiological parameter comprising at least on of;

respiration rate, pulse rate, and oxygen saturation; and

determine a confidence measurement pertaining to the physiological parameter based at least in part on determining the artifact.

11. The system of claim 10, wherein the signal acquisition unit comprises a photodetector.

12. The system of claim 10, wherein the transform data comprises data for a set of scales.

13. The system of claim 12, wherein the set of scales includes one or more scales corresponding to a pulse ridge and the amplitude threshold is based at least in part on a mean value of the pulse ridge.

14. The system of claim 12, wherein the set of scales includes one or more scales corresponding to a respiration ridge and the amplitude threshold is based at least in part on a mean value of the respiration ridge.

15. The system of claim 10, wherein the signal processor is further configured to:

determine a region containing the artifact in the time-scale plane of the transform data; and

define, in the region, a cone of influence of the artifact based at least in part on the widths of the wavelet function used in the wavelet transform analysis.

16. The system of claim 15, wherein the widths of the wavelet function are based at least in part on a standard deviation of temporal spread.

17. The system of claim 10, wherein the signal processor is further configured to hold measurements pertaining to a physiological parameter at a previous value based at least in part on the artifact.

18. The system of claim 10, wherein the signal processor is further configured to:

identify the plurality of amplitude maxima points in the transform data in the direction of the time axis for at least two scales;

set one or more amplitude thresholds for the at least two scales; and

determine the artifact pertaining to physiological movement based at least in part on the plurality of amplitude maxima points for the at least two scales and the one or more amplitude thresholds.