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US 2014/0180153 A1Published application
System and method for acoustic detection of coronary artery disease and automated editing of heart sound data
AssigneeRutgers, The State University
InventorsMohammad Zia, Benjamin Griffel, John Semmlow
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Abstract
Systems and methods for acoustic detection of coronary artery disease (CAD) and automated editing of heart sound data are provided.
Claims11
A system for acoustic detection of coronary artery disease and automated editing of heart sound data, said system comprising:
- a transducer for detecting acoustic heart signals;
- one or more reference microphones for detecting external and internal noises;
- a filter with a cutoff frequency of 90 Hz applied to a signal from the one or more reference microphones;
- an adaptive filter which matches and cross correlates frequency responses of the transducer signal and the signal of the one or more reference microphones;
- and one or more computers connected to the transducer and reference microphones which executes software for detecting coronary artery disease by processing the detected acoustic heart signals and which serves as a means for enhancing narrowband components in the signal from the one or more reference microphones, for dividing the enhanced signal into non-overlapping segments and calculating log-variance of each segment, for applying a threshold value to potential noisy segments, and for removal of deleterious noise segments from the transducer signal.
2 more elements
A method for reducing noise in an acoustic coronary artery detection system, comprising the steps of:
- acquiring an acoustic heart signal using a first transducer positioned near a heart;
- acquiring a reference signal using one or more reference microphones, 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.
1 more element
Dependencies are inferred from the claim text.