Title :
An electronic stethoscope with diagnosis capability
Author :
Myint, Wah W. ; Dillard, Bill
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Auburn Univ., AL, USA
Abstract :
A means of analyzing acoustic heart sounds is described. The system analyzes heart sound data, isolating key features of the heartbeat signatures to produce a list of possible diagnoses. The system has six major components: heart beat extraction, segmentation of the heart sound cycle, extraction of murmur data, time-frequency analysis of murmurs, statistical metrics and diagnosis algorithms. Implementation of each component is discussed in detail. Diagnosis algorithms for the following events/conditions are included: heart rate, sinus arrhythmia, tachycardia, bradycardia, aortic stenosis and mitral regurgitation
Keywords :
acoustic signal detection; biomedical equipment; feature extraction; medical signal detection; time-frequency analysis; acoustic heart sounds; electronic stethoscope; feature extraction; heartbeat signatures; murmur data; patient diagnosis; statistical metrics; time-frequency analysis; Blood; Computer displays; Data mining; Educational institutions; Heart beat; Heart rate; Medical diagnostic imaging; Stethoscope; Time frequency analysis; Valves;
Conference_Titel :
System Theory, 2001. Proceedings of the 33rd Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-7803-6661-1
DOI :
10.1109/SSST.2001.918505
