Detection of coronary artery disease with an electronic stethoscope

Computers in Cardiology

Volumn 34, Issue , 2007, Pages 757-760

  Schmidt, S E ^a   Holst Hansen, C ^b   Graff, C ^a   Toft, E ^a   Straijk, J J ^a  

^a AALBORG UNIVERSITY   (Denmark)

^b AALBORG UNIVERSITY HOSPITAL   (Denmark)

Author keywords

[No Author keywords available]

Indexed keywords

AR MODELS; AUTO-REGRESSIVE MODELS; BACKGROUND NOISE; CLINICAL SETTINGS; CORONARY ARTERY DISEASE; DIAGNOSTIC PERFORMANCE; ELECTRONIC STETHOSCOPES; HEART SOUNDS; HIGH ENERGIES; LOW DEGREES; NOISE ARTIFACTS; NON-INVASIVE METHODS; STATIONARITY;

CARDIOLOGY;

EID: 62249151206     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIC.2007.4745596     Document Type: Conference Paper

References (7)

1. Semmlow J, Welkowitz W, Kostis J, Mackenzie JW. Coronary artery disease-correlates between diastolic auditory characteristics and coronary artery stenoses. IEEE Trans.Biomed.Eng. 1983 Feb;30(2):136-9.
2. Akay M, Semmlow JL, Welkowitz W, Bauer MD, Kostis JB. Detection of coronary occlusions using autoregressive modeling of diastolic heart sounds. IEEE Trans.Biomed.Eng. 1990 Apr;37(4):366-73.
3. Akay YM, Akay M, Welkowitz W, Semmlow JL, Kostis JB. Noninvasive acoustical detection of coronary artery disease: a comparative study of signal processing methods. IEEE Trans.Biomed.Eng. 1993 Jun;40(6):571-8.
4. Shen D, Semmlow JL, Welkowitz W. Automated identification of artifact-free diastolic heart sounds. Automated identification of artifact-free diastolic heart sounds. Proceedings of the Annual Conference on Engineering in Medicine and Biology: IEEE;1990; 569-70.
5. Akay M. Noninvasive diagnosis of coronary artery disease using a neural network algorithm. Biol.Cybern. 1992;67(4):361-7.
6. Akay M, Welkowitz W. Acoustical detection of coronary occlusions using neural networks. J.Biomed.Eng. 1993 Nov;15(6):469-73.
7. Rangayyan RM, Biomedical Signal Analysis: A Case-Study Approach. New York. Wiley-IEEE Press; 2001.