Method and system for detection of respiratory variation in plethysmographic oximetry

• US 8,465,434 B2
• Filed: 02/24/2012
• Issued: 06/18/2013
• Est. Priority Date: 12/06/2007
• Status: Active Grant

• Current Assignee: Los Angeles Biomedical Research Institute At Harbor-Ucla Medical Center (University of California)
• Original Assignee: Los Angeles Biomedical Research Institute At Harbor-Ucla Medical Center (University of California)
• Inventors: Mason, Gregory R., Criley, John M.
• Primary Examiner(s): Mallari, Patricia
• Assistant Examiner(s): JANG, CHRISTIAN YONGKYUN
• Application Number:
  US13/404,265
• Publication Number:
  US 20120172688A1
• Time in Patent Office: 480 Days
• Field of Search: 600/484
• US Class Current: 600/484
• 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 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle

Abstract

A method and system for detection of respiratory variation in pulse oximetry are provided. In one embodiment, the method includes detecting a pattern consistent with a respiratory cycle of a waveform representing cardiac oscillations and identifying an abnormality based on the pattern. A system is further provided including a database and a module. The database to store data representing a physiological condition of a patient over a period of time, wherein the data comprises data corresponding to respiratory activity and data corresponding to cardiac oscillations, wherein the data corresponding to respiratory activity comprises a first waveform and the data corresponding to the cardiac oscillations comprises a second waveform; and a module for detecting a pattern of the second waveform consistent with a cycle of a first waveform and detecting an abnormality in the pattern.

Claims

1. A system comprising:

a database to store data representing a physiological condition of a patient over a period of time, wherein the data comprises data corresponding to respiratory activity and data corresponding to cardiac oscillations, wherein the data corresponding to respiratory activity comprises a first waveform and the data corresponding to the cardiac oscillations comprises a second waveform; and

a module for detecting a pattern of the second waveform consistent with a cycle of the first waveform and detecting an abnormality indicative of pulsus paradoxus in the pattern, and

wherein detecting the abnormality comprises determining a value from the pattern based on an average offset of wave bases of the second waveform from a baseline and an average amplitude of wave peaks of the second waveform from a best-fit line to the wave bases.

2. The system of claim 1, wherein the second waveform comprises a plethysmographic waveform and the first waveform comprises a respiratory waveform.

3. The system of claim 1, further comprising:

an interface for displaying the first waveform and the second waveform.

4. The system of claim 1, wherein each of the first waveform and the second waveform data is generated by a pulse oximeter.

5. The system of claim 1, wherein the first waveform data and the second waveform data is generated from a plurality of monitoring devices coupled to a patient.

6. The system of claim 1, wherein the second first waveform data comprises an electrocardiogram (ECG) waveform.

7. The system of claim 1, wherein the waveform representing respiratory activity is obtained from impedance plethysmography using an electrocardiogram (ECG) coupled to a patient.

8. The system of claim 1, wherein when the abnormality is detected an alarm is triggered to alert a health care provider of the abnormality.