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AUDICOR Technology 

The AUDICOR technology is in its third generation and uses wavelet-based signal process techniques combined with a trained detection models  to identify normal and abnormal heart sounds, precisely measure timing intervals, and thereby create a "fingerprint" of the heart.  The algorithms have been tested and refined over a decade using large, independently validated clinical databases. 

The combination of the sophisticated technology and the very specific time-frequency fingerprint of heart sounds make it possible to obtain reliable measurements under aggravated conditions, which are confounders for the classic auscultation means or phonocardiographs, i.e. obesity, patient talking, moving, exercise, external vibrations.  

 

The following examples illustrate how hearts sounds are detectable under normal and aggravated conditions:

Subject With an S3 at Rest

Normal_COR_small.pngClick on imgae to enlarge

Normal_3D.png Click on imgae to enlarge

Standard AUDICOR 10 second report ​

Time domain: ECG and Heart Sounds. S3 present.

2D/3D ​Scalogram to illustrate time-frequency distribution for 3 beats out of the 10 second recording. 

 

Subject With High BMI (Weight 560 lbs)

BMI_COR__small.pngClick on imgae to enlarge

 Click on imgae to enlarge

Standard AUDICOR 10 second report ​

Time domain: ECG and Heart Sounds. S3 present.

2D/3D ​Scalogram to illustrate time-frequency distribution for 3 beats out of the 10 second recording.  Energy distribution is analyzable despite small time domain signal strength.  

 

Subject Snoring

Snoring_COR_small.pngClick on imgae to enlarge

Snoring_3D.png Click on imgae to enlarge

Standard AUDICOR 10 second report ​

Time domain: ECG and Heart Sounds. 

2D/3D ​Scalogram to illustrate time-frequency distribution for 2 beats out of the 10 second recording.  Respiratory sounds and speech have different energy distributions than heart sounds.