研究目的
To detect the presence and the location of coronary occlusions using a noninvasive, passive, quick and inexpensive approach that could eventually be implemented as part of the standard medical examination routine in the future.
研究成果
The results confirm that CAD patients exhibit significantly different acoustic signatures in heart sounds recorded before and after stent placement procedures, and acoustic signatures of normal patients are similar to those recorded after stent placement. These findings indicate that the approach can be used for noninvasive continuous monitoring of CAD after stent placement.
研究不足
The study enrolled eight patients who underwent stent placement procedures with single occlusions, which is adequate for a preliminary efficacy study, despite the small sample size. Future studies will include more patients to strengthen the statistics.
1：Experimental Design and Method Selection:
The study designed and built an MEMs microphone array and a signal acquisition board to improve the detection of coronary occlusions. The nonlinear dynamic analysis method based on approximate entropy was proposed for the analysis of diastolic heart sounds.
2：Sample Selection and Data Sources:
Eight patients with coronary artery disease, as determined by coronary angiography, were screened for the study. Two clinically-proven normal subjects were also included.
3：List of Experimental Equipment and Materials:
A compact MEMS microphone array (ADI ADMP521), a signal-processing unit for digital data acquisition and transfer, and a USB module for connection to a PC.
4：Experimental Procedures and Operational Workflow:
The array was placed at the fourth intercostal space, 6-8 cm to the right of the midline of the sternum. Sound was recorded for 15 seconds while the patient held his breath to reduce chest cavity noise.
5：Data Analysis Methods:
The nonlinear dynamic analysis (approximate entropy) measures of the diastolic heart sounds were estimated. A spectral analysis based on the fast Fourier transform was used to estimate the energy content of the recorded signals.
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