System and method for acoustic detection of coronary artery disease
First Claim
1. A system for acoustic detection of coronary artery disease, comprising:
- a transducer for detecting acoustic heart signals;
a computer connected to the transducer, the computer executing software for detecting coronary artery disease by processing the detected acoustic heart signals, the software including;
a first software module for identifying a diastolic segment of a detected acoustic heart signal for analysis;
a second software module for editing the diastolic segment to produce an edited signal;
a plurality of signal detection algorithms for processing the edited signal to produce a disease vector; and
a classifier for classifying the disease vector; and
means for indicating the presence or absence of coronary artery disease in a patient based upon an output of the classifier.
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Abstract
A system and method for acoustic detection of coronary artery disease (CAD) are provided. The system includes a transducer for acoustically detecting heart signals of a patient and a computer system which executes detection software for processing the detected heart signals to identify the presence of CAD from the heart signals. The software allows for the automatic definition of a diastolic “window” of the acoustic signal for analysis, and automatically edits the sampled acoustic signal to eliminate unwanted artifacts and/or noise in the acoustic signal. The edited signal is then processed by a plurality of signal processing algorithms, including spectral analysis algorithms, time-frequency algorithms, global feature algorithms, kurtosis algorithms, mutual information algorithms, negenthropy algorithms, and principal component analysis algorithms, to generate a disease vector. The disease vector is then classified to determine whether CAD is present in the patient. Classification can be accomplished using linear discriminant analysis or a support vector machine.
58 Citations
25 Claims
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1. A system for acoustic detection of coronary artery disease, comprising:
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a transducer for detecting acoustic heart signals; a computer connected to the transducer, the computer executing software for detecting coronary artery disease by processing the detected acoustic heart signals, the software including; a first software module for identifying a diastolic segment of a detected acoustic heart signal for analysis; a second software module for editing the diastolic segment to produce an edited signal; a plurality of signal detection algorithms for processing the edited signal to produce a disease vector; and a classifier for classifying the disease vector; and means for indicating the presence or absence of coronary artery disease in a patient based upon an output of the classifier. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method for acoustic detection of coronary artery disease, comprising the steps of
detecting an acoustic heart signal; -
defining a diastolic segment of the acoustic heart signal for analysis; editing the diastolic segment to produce an edited signal; processing the edited signal with a plurality of signal detection algorithms to produce a disease vector; and classifying the disease vector to determine the presence or absence of coronary artery disease in a patient. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A method for reducing noise in an acoustic coronary artery detection system, comprising the steps of:
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acquiring an acoustic heart signal using a first transducer positioned near a heart; acquiring a reference signal using a second transducer, the reference signal including a noise component; processing the reference signal with an adaptive filter to produce a processed noise signal; and removing noise from the acoustic heart signal by subtracting the processed noise signal from the acoustic heart signal.
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24. A method for detecting coronary artery disease, comprising:
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using a transducer to monitor acoustic signals from a patient'"'"'s heart; and analyzing nongaussian global feature parameters of the acoustic signals to determine the presence of heart or coronary artery disease.
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25. A method for detecting heart sounds, comprising the steps of:
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(A) placing first and second microphones on the chest of a patient at a position relatively away from the heart, for detecting internal patient and external noise signals; (B) placing a third microphone on the chest of said patient in close proximity to the heart, for detecting heart sounds; (C) using algorithms to program a computer to process the noise signals from said first and second microphones to compute a first artifact score; (D) processing the weights from an adaptive noise cancellation filter utilizing signals from said first and second microphones for filtering said heart sound signals from said third microphone to obtain a second artifact score; (E) combining the first and second artifact scores to obtain an overall artifact score; and (F) successively repeating steps (A) through (E) for different placement of the first and second microphones to determine the placement that provides the lowest overall artifact score, for maximizing adaptive cancellation of noise from the heart sounds picked up by the third microphone.
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Specification