Method for detecting cheyne-stokes respiration in patients with congestive heart failure

• US 20020002327A1
• Filed: 04/10/2001
• Published: 01/03/2002
• Est. Priority Date: 04/10/2000
• Status: Abandoned Application

• Current Assignee: The Research Foundation for The State University of New York (State University of New York)
• Original Assignee: The Research Foundation for The State University of New York (State University of New York)
• Inventors: El-Solh, Ali, Grant, Brydon J.B.
• Application Number:
  US09/829,695
• Publication Number:
  US 20020002327A1
• Time in Patent Office: Days
• US Class Current: 600/324
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• 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

The present invention discloses a method for developing a diagnostic method for CSR. The method comprises the steps of performing overnight oximetry recordings in patients suspected of OSA who have been identified as having or not having CSR by clinical studies. Spectral analysis is performed on the oximetry recordings from which a classification tree is generated. The present invention also discloses a method for the identification of Cheyne-Stokes respiration in an individual. The method comprises the steps of performing spectral analysis of overnight oximetry recordings. The key features are then input into a classification tree to determine the presence or absence of CSR.

Claims

1. A method for detecting Cheyne-Stokes respiration in an individual comprising:

obtaining pulse oximetry recordings from the individual;

determining oxygen saturation levels at selected intervals;

generating a power spectrum from the oxygen saturation levels;

determining a set of parameters from the power spectrum comprising frequency and magnitude at local maximas; and

inputting the set of parameters into a classification tree to determine the presence or absence of CSR.

2. The method of claim 1, wherein the pulse oximetry readings are obtained overnight.

3. A storage device having stored thereon computer readable code for causing a computer to execute the method of claim 1.

4. A method for developing a classification tree for identification of individuals with CSR comprising the steps of:

performing clinical studies to identify patients having obstructive sleep apnea;

performing further clinical studies on patients identified as having obstructive sleep apnea to determine the presence or absence of Cheyne-Stokes respiration;

obtaining overnight pulse oximetry recordings from the patients with or without Cheyne-Stokes respiration;

determining oxygen saturation levels at selected intervals;

generating power spectra from the oxygen saturation levels;

determining a set of parameters from the power spectra comprising frequency and magnitude of local maximas; and

constructing a classification tree by inputting the set of parameters.

5. The method of claim 4 further comprising the step of cross-validating the classification tree.

6. The method of claim 4, wherein the further clinical studies are other than pulse oximetry recordings.