Benjamin Griffel

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Early detection of coronary artery disease (CAD) using the acoustic approach, a noninvasive and cost-effective method, would greatly improve the outcome of CAD patients. To detect CAD, we analyze diastolic sounds for possible CAD murmurs. We observed diastolic sounds to exhibit 1/f structure and developed a new method, path length entropy (PLE) and a scaled(More)
Septic shock is a leading cause of hospital deaths in the United States. A system to detect initial immune response to an infection could allow for treatment before septic shock occurs, which would save many lives. Here, we demonstrate the analysis of beat-to-beat heart rate intervals using the Hilbert-Huang transform (HHT) as a method of detection of the(More)
Coronary artery disease (CAD) is a chronic illness of the cardiovascular system that progressively diminishes the flow of blood and oxygen to the heart. The acoustic method of CAD diagnosis is safe, inexpensive and easy to administer and could be suitable as an early screening tool. However, few studies have shown clinically significant accuracy using this(More)
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