METHODS AND SYSTEMS FOR DETERMINING ALGORITHM SETTINGS BASED ON CLASSIFICATION INFORMATION

• US 20140073964A1
• Filed: 09/11/2012
• Published: 03/13/2014
• Est. Priority Date: 09/11/2012
• Status: Abandoned Application

• Current Assignee: Covidien LP (Medtronic Plc)
• Original Assignee: Nellcor Puritan Bennett LLC (Medtronic Plc)
• Inventors: Rodriguez-Llorente, Fernando, Engelbrecht, Pirow, Wooder, Nicholas James
• Application Number:
  US13/609,598
• Publication Number:
  US 20140073964A1
• Time in Patent Office: Days
• US Class Current: 600/479
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/02444 Details of sensor A61B5/02427 takes precedence
• 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 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

A physiological monitoring system may determine physiological information, such as physiological rate information, from a physiological signal. The system may determine a first metric value indicative of a physiological classification based on the physiological signal. An algorithm setting may be determined based on the physiological classification. The system may determine a second metric value indicative of a different physiological classification based on the physiological signal. A different algorithm may be determined based on the different physiological classification. The algorithm setting may, for example, affect the amount of filtering applied to the physiological signal.

Claims

1. A subject monitoring system for processing physiological information of a subject, comprising:

a sensor configured to generate a physiological signal, wherein the sensor detects light attenuated by the subject; and

processing equipment coupled to the sensor, wherein the processing equipment is configured to;

determine a first metric value indicative of a physiological classification based on the physiological signal;

determine an algorithm setting based on the physiological classification;

determine second metric value indicative of a different physiological classification based on the physiological signal; and

determine a different algorithm setting based on the different physiological classification.

2. The system of claim 1, wherein the processing equipment is further configured to determine the first metric value is further based on a first portion of the physiological signal, and wherein the processing equipment is further configured to determine the second metric value is based on a subsequent portion of the physiological signal relative to the first portion.

3. The system of claim 2, wherein the second metric value comprises an updated value of the first metric value, based on the subsequent portion of the physiological signal.

4. The system of claim 1, wherein the second metric value is based on a different metric than the first metric value.

5. The system of claim 1, wherein the physiological signal is a photoplethysmograph signal, and wherein the physiological classification is selected from the group comprising a dicrotic notch classification, a non-dicrotic notch classification, a high heart rate classification, a low heart rate classification, a neonate classification, and a combination thereof.

6. A processing module for processing physiological information of a subject, wherein the processing module is configured to:

receive a physiological signal derived from a detector output, wherein the detector detects light attenuated by the subject;

determine a first metric value indicative of a physiological classification based on the physiological signal;

determine an algorithm setting based on the physiological classification;

determine second metric value indicative of a different physiological classification based on the physiological signal; and

determine a different algorithm setting based on the different physiological classification.

7. The processing module of claim 6, further configured to determine the first metric value is further based on a first portion of the physiological signal, and further configured to determine the second metric value is based on a subsequent portion of the physiological signal relative to the first portion.

8. The processing module of claim 7, wherein the second metric value comprises an updated value of the first metric value, based on the subsequent portion of the physiological signal.

9. The processing module of claim 6, wherein the second metric value is based on a different metric than the first metric value.

10. The processing module of claim 6, wherein the physiological signal is a photoplethysmograph signal, and wherein the physiological classification is selected from the group comprising a dicrotic notch classification, a non-dicrotic notch classification, a high heart rate classification, a low heart rate classification, a neonate classification, and a combination thereof.

11. A method for processing physiological information of a subject, comprising:

receiving, using processing equipment, a physiological signal derived from a detector output, wherein the detector detects light attenuated by the subject;

determining, using the processing equipment, a first metric value indicative of a physiological classification based on the physiological signal;

determining, using the processing equipment, an algorithm setting based on the physiological classification;

determining, using the processing equipment, a second metric value indicative of a different physiological classification based on the physiological signal; and

determining, using the processing equipment, a different algorithm setting based on the different physiological classification.

12. The method of claim 11, wherein determining the first metric value is further based on a first portion of the physiological signal, and wherein determining the second metric value is based on a subsequent portion of the physiological signal relative to the first portion.

13. The method of claim 12, wherein the second metric value comprises an updated value of the first metric value, based on the subsequent portion of the physiological signal.

14. The method of claim 11, wherein the second metric value is based on a different metric than the first metric value.

15. The method of claim 11, wherein the physiological signal is a photoplethysmograph signal, and wherein the physiological classification is selected from the group comprising a dicrotic notch classification, a non-dicrotic notch classification, a high heart rate classification, a low heart rate classification, a neonate classification, and a combination thereof.

16. A computer-readable medium for use in processing physiological information of a subject, the computer-readable medium having computer program instructions recorded thereon for:

receiving a physiological signal derived from a detector output, wherein the detector detects light attenuated by the subject;

determining a first metric value indicative of a physiological classification based on the physiological signal;

determining an algorithm setting based on the physiological classification;

determining second metric value indicative of a different physiological classification based on the physiological signal; and

determining a different algorithm setting based on the different physiological classification.

17. The computer-readable medium of claim 16, having further computer program instructions recorded thereon for determining the first metric value is further based on a first portion of the physiological signal, and further configured to determine the second metric value is based on a subsequent portion of the physiological signal relative to the first portion.

18. The computer-readable medium of claim 17, wherein the second metric value comprises an updated value of the first metric value, based on the subsequent portion of the physiological signal.

19. The computer-readable medium of claim 16, wherein the second metric value is based on a different metric than the first metric value.

20. The computer-readable medium of claim 16, wherein the physiological signal is a photoplethysmograph signal, and wherein the physiological classification is selected from the group comprising a dicrotic notch classification, a non-dicrotic notch classification, a high heart rate classification, a low heart rate classification, a neonate classification, and a combination thereof.