Acoustic assessment of the heart

• US 7,819,814 B2
• Filed: 10/21/2003
• Issued: 10/26/2010
• Est. Priority Date: 10/21/2002
• Status: Expired due to Fees

• Current Assignee: Nathan Intrator, Noam Gavriely
• Original Assignee: Nathan Intrator, Noam Gavriely
• Inventors: Intrator, Nathan, Gavriely, Noam
• Primary Examiner(s): Marmor, II; Charles A
• Assistant Examiner(s): JANG, CHRISTIAN YONGKYUN
• Application Number:
  US10/532,178
• Publication Number:
  US 20060047213A1
• Time in Patent Office: 2,562 Days
• Field of Search: 600481-507, 600/509, 600/513, 600/514, 600/528, 600/586, 607/17, 607/20, 607/25
• US Class Current: 600/528
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• 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 5/318 Heart-related electrical modalities, e.g. electrocardiography [ECG]
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 7/00 Instruments for auscultation
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise
• CPC Class Codes: A61B 7/04 Electric stethoscopes microphones, acoustic transducers therefor H04R

Abstract

A non-invasive method and apparatus for monitoring of the function of the heart and lungs in vulnerable patients. An analysis of the activity of the heart is made in correspondence to the respiratory system. Using the method of the invention, precise tracking of the changes of the mutual heart-lung interactions cycle are made, enabling better definitions of heart conditions. Within breath variability factor is introduced for tracking heart condition. Failing heart assisting methods and improved diagnostic methods are facilitated using the monitoring system of the invention.

Claims

1. A method for analyzing a change in the functionality of the heart and the respiratory system of a patient, comprising:

identifying the respiratory activity (22) and cardiac sounds (20), wherein said identifying comprises;

1. collecting at least said cardiac sounds (20) by the means of at least one microphone;

2. separating said cardiac sounds (20) apart from the sounds related to said respiratory activity (22), by the means of a signal conditioning module (28);

temporally segmenting said respiratory and said cardiac sounds to express the segments of physiological rhythmicity, by the means of a feature extraction module (30);

extracting stable features of the heart sounds with respect to their timing in the respiratory cycle, thus providing synchronized stable features for diminishing stochastic variability, by the means of a timing analysis module (32);

averaging the features of segments of heart sounds with respect to the corresponding respiratory cycle;

wherein the averaging results in averages in which the temporal variability of said segments is preserved;

determining the extent of temporal variability in groups of synchronized stable sound features, and

detecting change over time of at least one feature in a synchronized stable sound relative to a baseline, by the means of a temporal segmentation and feature parameter extraction module (34).

2. A method for analyzing a change in the functionality of the heart and the respiratory system of a patient as in claim 1, said method used for synchronizing a heartbeat synchronized system, said analyzing based on the information derived from the group of items consisting of:

heart sounds amplitude, interval between them, amplitude and frequency content, and any combination thereof.

3. A method for analyzing a change in the functionality of the heart and the respiratory system of a patient, comprising:

identifying the respiratory activity (22) and cardiac sounds (20), wherein said identifying comprises;

1. collecting at least said cardiac sounds (20) by the means of at least one microphone;

2. separating said cardiac sounds (20) apart from the sounds related to said respiratory activity (22), by the means of a signal conditioning module (28);

temporally segmenting respiratory sounds and cardiac electrocardiographic signals to express the segments of physiological rhythmicity, by the means of a feature extraction module (30);

extracting stable features of the heart sounds with respect to their timing in the electrocardiographic signals, thus providing synchronized stable features for diminishing stochastic variability, by the means of a timing analysis module (32);

averaging the features of segments of heart sounds with respect to the corresponding electrocardiographic signals whilst preserving the temporal variability of said segments;

wherein the averaging results in averages in which the temporal variability of said segments is preserved;

determining the extent of temporal variability of groups of synchronized stable sound features, and

detecting change over time of at least one feature in a synchronized stable sound relative to a baseline, by the means of a temporal segmentation and feature parameter extraction module (34).