System and method of extraction of the heart valve signals

Abstract

A method and system of assessing and monitoring of cardiopulmonary diseases can include the steps of receiving a composite signal representative of individual events from a plurality of sources associated with a patients cardio-pulmonary system and separating an individual signal as a separate component of the composite signal where the individual signal i s representative of an individual event from one of a plurality of cardio-pulmonary events. The method and system can further include and deriving clinical findings responsive from the separating and presenting the clinical findings.

What is claimed is: 
     
         1 . A method of assessing and monitoring of cardiopulmonary diseases, the method comprising:
 receiving a composite signal representative of individual events from a plurality of sources associated with a patients cardio-pulmonary system;   separating an individual signal as a separate component of the composite signal, the individual signal representative of an individual event from one of a plurality of cardio-pulmonary events; and   deriving clinical findings responsive from the separating.   
     
     
         2 . The method of  claim 1 , wherein the method further comprises providing an output related to the individual signal and the assessing of the cardiopulmonary diseases. 
     
     
         3 . The method of  claim 1  the said receiving comprises employing an array of transducers, and wherein each respective transducer in the array is disposed in a respective location on a patient. 
     
     
         4 . The method of  claim 1  wherein the separating comprises measuring a cardiac time interval for the individual signal with respect to an electrocardiogram signal. 
     
     
         5 . The method of  claim 1  wherein the individual event is one among a Mitral valve closing, a Mitral valve opening, a Tricuspid valve closing, a tricuspid valve opening, an Aortic valve opening, an Aortic valve closing, a Pulmonic valve opening, or a Pulmonic valve closing, third sound, fourth sound, ejection sounds, opening sounds, murmurs, heart wall motions, coronary artery sounds, respiratory lung sounds, breathing sounds, airway obstruction or snoring sounds. 
     
     
         6 . The method of  claim 1  wherein the step of separating comprises separating a plurality of individual heart vibration events from a composite vibration object from multichannel signals by decomposing the multichannel signals into sparse activation patterns and clustering the sparse activation patterns. 
     
     
         7 . The method of  claim 1 , further comprising a step of identification by tagging each of the separated events from individual heart beats to be one of the cardio-pulmonary events, using methods of machine learning, auditory scene analysis, or sparse coding. 
     
     
         8 . The method of  claim 1 , wherein the method further comprises a step of using cardiac time intervals and the cardio-pulmonary events for assessment one or more among innocent cardiac dysfunction, indication of certain cardiac dysfunction, abnormal atrial contraction, abnormal atrial filling, abnormal filling of the ventricles, abnormal ventricular ejection, abnormal volume changes during a cardiac cycle, abnormal pressures in aorta or abnormal pressures in pulmonary artery. 
     
     
         9 . The method of  claim 1 , wherein the method further comprises the step of correlating cardiac time intervals and the cardio-pulmonary events to measurements from other forms of devices selected among one or more of echo imaging or sonograms, magnetic resonance imaging (MRI), computed tomography (CT) scanning, positron emission tomography (PET) scanning, or catheterization. 
     
     
         10 . The method of  claim 1 , wherein the method further comprises the step of using cardiac time intervals or the cardio-pulmonary events to provide assessment and monitoring of pressure changes in heart ventricles and of pressure changes in the pulmonary artery. 
     
     
         11 . The method of  claim 1 , wherein the method further comprises the step of using cardiac time intervals and the cardio-pulmonary events to provide assessment and monitoring of volume changes in heart ventricles and for detecting ventricular dysfunction. 
     
     
         12 . The method of  claim 1 , wherein the method further comprises calculating time stamps of individual sources at each heartbeat with respect to a synchronized EKG signal. 
     
     
         13 . The method of  claim 1 , wherein the individual events comprises one or more among heart valve openings, brain spikes, contractions, fetal signals, pre-natal contractions, or peristaltic movements. 
     
     
         14 . A method of assessing and monitoring of cardiopulmonary diseases, the method comprising:
 receiving via a sensor array a composite signal representative of individual events from a plurality of sources associated with a patients cardio-pulmonary system;   sensing pressure and volume changes within a heart from identified cardiac time intervals;   sensing an electrocardiogram (EKG) signal representative of heart function;   separating an individual signal as a separate component of the composite signal, the individual signal representative of an individual event from one of the plurality of sources; and   deriving hemodynamic measurements using the sensed pressure and volume changes and the EKG signal.   
     
     
         15 . A system for assessing and monitoring of cardiopulmonary diseases, the system comprising:
 a plurality of transducers;   a computer memory having computer instructions stored therein one or more processors coupled to the computer memory and the plurality of transducers, wherein the one or more processors are configured upon execution of the computer instructions to perform the operations of:
 receiving a composite signal representative of individual events from a plurality of sources associated with a patients cardio-pulmonary system using the plurality of transducers; 
 separating, using the one or more processors, an individual signal as a separate component of the composite signal, the individual signal representative of an individual event from one of the plurality of sources; and 
 deriving, by the one or more processors, hemodynamic parameters responsive to the separating. 
   
     
     
         16 . The system of  claim 15 , wherein the one or more processors are further configured to provide an output related to pressure changes in heart ventricles and in the pulmonary artery. 
     
     
         17 . The system of  claim 15 , wherein the receiving comprises employing an array of transducers, and wherein each respective transducer in the array is configured for placement in a respective location on a patient. 
     
     
         18 . The system of  claim 15 , wherein the separating comprises measuring a cardiac time interval for the individual signal with respect to an electrocardiogram signal. 
     
     
         19 . The system of  claim 15  wherein the individual event is one among a Mitral valve closing, a Mitral valve opening, a Tricuspid valve closing, a tricuspid valve opening, an Aortic valve opening, an Aortic valve closing, a Pulmonic valve opening, or a Pulmonic valve closing. 
     
     
         20 . The system of  claim 15 , wherein the one or more processors are further configured to provide an output related to volume changes in heart ventricles for detecting ventricular dysfunction.