Method of measuring breathing resistance of a sleeping subject

• US 6,045,514 A
• Filed: 06/16/1997
• Issued: 04/04/2000
• Est. Priority Date: 12/22/1994
• Status: Expired due to Term

• Current Assignee: SNAP Diagnostics, LLC
• Original Assignee: SNAP Laboratories, LLC
• Inventors: Raviv, Gil, Weingarten, Charles Z.
• Primary Examiner(s): O'Connor, Cary
• Assistant Examiner(s): WINGOOD, PAMELA LYNN
• Application Number:
  US08/876,444
• Time in Patent Office: 1,023 Days
• Field of Search: 600/529, 600/534, 600/586, 600/587, 600/484
• US Class Current: 600/529
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise

Abstract

The invention provides a method of determining a breathing resistance index of a sleeping subject from a set of respiratory sounds. The method includes the steps of selecting a first set of respiratory events of the set of respiratory sounds and manually determining a classification content of the first set of respiratory events. The method further includes extrapolating the classification content of the first set of respiratory events to an at least second set of respiratory events and determining a breathing resistance index based upon the classification content of the at least second set of respiratory events.

Claims

1. A method of determining a maximum apnea density index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a maximum apnea density index by identifying a time interval of predetermined duration within the set of respiratory events which has a maximum number of apnea events and determining the maximum apnea density index based upon the number of apnea events in that time interval.

2. A method of determining a maximum hypoapnea density index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

identifying a time interval of predetermined duration within the set of respiratory events which has a maximum number of hypoapnea events, and determining the maximum hypopnea density index based upon the number of hypoapnea events in that time interval.

3. A method of determining a qualitative breathing resistance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events; and

determining a qualitative breathing resistance index based upon the classification content of at least a portion of the set of respiratory events including determining an average loudness for normal breathing events in the set of respiratory events, and the loudness of a specific event, and then calculating an absolute index based upon the average loudness and specific loudness.

4. The method of claim 3, wherein the step of determining a classification content further comprises the step of visually scanning a graphical representation of the breathing events.

5. The method of claim 4 further comprising the step of listening to respiratory events selected based upon the visual scan and classifying the respiratory event based upon the audio sound of the respiratory event.

6. A method of determining a qualitative breathing resistance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events including classifying at least some of the respiratory sounds of the set of respiratory events as high resistance respiratory events; and

determining a qualitative breathing resistance index based upon the classification content of at least a portion of the set of respiratory events including calculating a ratio of the number of breaths involving high resistance to breathing to a sum of all breathing events.

7. A method of determining a relative breathing resistance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events including classifying at least some of the respiratory sounds of the set of respiratory events as high resistance respiratory events and determining a total number of breathing events and a total number of the breathing events that are snoring events in the set of respiratory events; and

determining the relative breathing resistance index based upon the total breathing events and total snoring events.

8. The method of claim 7, wherein determining the qualitative breathing resistance index comprises determining a ratio of total high resistance breathing events to total breathing events.

9. A method of determining a respiratory disturance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events; and

determining the respiratory disturbance index by summing all apnea events and all hypoapnea events occurring during a time-interval and determining the respiratory disturbance index based upon the sum.

10. A method of determining a qualitative breathing resistance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events;

determining a qualitative breathing resistance index based upon the classification content of at least a portion of the set of respiratory events;

classifying at least some of the respiratory sounds of the set of respiratory events as high resistance respiratory events; and

determining a percentage of snoring events dominated by a velum-like pattern by tabulating the snoring events of the classified respiratory event set characterized as velum-like;

dividing by the total number of snoring events in the respiratory event set; and

multiplying by one hundred.

11. The method of claim 10, further comprising the step of classifying at least some of the respiratory sounds of the set of respiratory events as apnea.

12. A method of determining a qualitative breathing resistance index of a sleeping subject from a set of respiratory sounds from the subject comprising the steps of:

selecting a set of respiratory events of the set of respiratory sounds;

determining a classification content of the set of respiratory events;

determining a qualitative breathing resistance index based upon the classification content of at least a portion of the set of respiratory events;

classifying at least some of the respiratory sounds of the set of respiratory events as high resistance respiratory events; and

determining a percentage of breathing events having at least some velum-like patterns by tabulating breathing events classified as a velum snore;

dividing by the total number of breathing events in the respiratory event set; and

multiplying by one hundred.

13. The method of claim 12, wherein the step of determining a classification content is based upon analysis of the respiratory sounds only.

14. The method of claim 12, wherein the step of selecting comprises listening to the set of respiratory sounds and manually selecting the set of respiratory events.

15. The method of claim 12, wherein the step of determining a classification is performed automatically using dynamically calculated classification parameters.

16. The method of claim 12, wherein at least a portion of the set of respiratory sounds are recorded and the recorded set of respiratory sounds are used in the step of determining the classification content.