Acoustic detection of coronary artery disease

Annual Review of Biomedical Engineering

Volumn 9, Issue , 2007, Pages 449-469

  Semmlow, John ^a   Rahalkar, Ketaki ^b  

^a RUTGERS ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

Cardiac microphones; Coronary bruits; Coronary stenosis; Heart sounds; Phonocardiography; Signal processing

Indexed keywords

BLOOD VESSELS; CARDIOLOGY; COST EFFECTIVENESS; SIGNAL PROCESSING;

CARDIAC MICROPHONES; CORONARY BRUITS; CORONARY STENOSIS; HEART SOUNDS; PHONOCARDIOGRAPHY;

DISEASES;

OXYGEN;

ACCELEROMETER; CORONARY ARTERY DISEASE; CORONARY ARTERY OBSTRUCTION; CORONARY RISK; COST EFFECTIVENESS ANALYSIS; DIAGNOSTIC TEST; DIASTOLIC BLOOD PRESSURE; DISEASE SEVERITY; FATALITY; HEART INFARCTION; HUMAN; IMPEDANCE CARDIOGRAPHY; MEDICAL INSTRUMENTATION; MICROPHONE; MORTALITY; NOISE; PRESSURE TRANSDUCER; REVIEW; SIGNAL PROCESSING; THEORETICAL STUDY; TURBULENT FLOW; ACOUSTICS; ANIMAL; BIOLOGICAL MODEL; BLOOD FLOW VELOCITY; COMPUTER SIMULATION; CORONARY ARTERY ATHEROSCLEROSIS; HEART AUSCULTATION; METHODOLOGY; PATHOPHYSIOLOGY; SOUND DETECTION;

ACOUSTICS; ANIMALS; BLOOD FLOW VELOCITY; COMPUTER SIMULATION; CORONARY ARTERIOSCLEROSIS; HEART AUSCULTATION; HUMANS; MODELS, CARDIOVASCULAR; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND SPECTROGRAPHY;

EID: 35348855552     PISSN: 15239829     EISSN: None     Source Type: Book Series    
DOI: 10.1146/annurev.bioeng.9.060906.151840     Document Type: Review

References (49)

1. National Heart, Lung, and Blood Institute. 2006. Disease and condition index. http://www.nhlbi.nih.gov/health/dci/index.html
2. Krupp MA. 1982. Current Medical Diagnosis and Treatment. Los Altos, CA: Lange Med. Publ.
3. Johnson MR. 1985. Special diagnostic tests and procedures. Phys. Ther. 65(12):1856-65
4. Berg JR, Weaver KA, Russell T, Kassenbaum DG. 1973. Disappearance of coronary artery stenosis murmur after aorta-coronary by-pass. Chest 63:440
5. Sangster JF, Oakley CM. 1973. Diastolic murmur of coronary artery disease. Br. Heart J. 35:840-44
6. Cheng TO. 1970. Diastolic murmur caused by coronary artery stenosis. Ann. Internal Med. 72:543-46
7. Veramrien H, Vollenhoven E. 1984. The recording of heart vibrations: a problem of vibration measurement on soft tissue. Med. Biol. Eng. Comput. 22:168-78
8. Lukkarinen S, Noponen AL, Sikio K, Angerla A. 1977. A new phonocardiographic recording system. IEEE Comput. Cardiol. 24:117-20
9. PasteKamp H, Kraman S, Wodicka G. 1977. Respiratory sounds advances beyond the stethoscope. Am. J. Respir. Crit. Care Med. 156:974-87
10. Mohri K, Kondo T, Sugino H, Yamasaki J, Yoshino K. 1985. Non-contact linmar displacement sensors using amorphous-core multivibrators for mechanocardiography. IEEE Trans. Magnetics MAG-21:2071-73
11. Mohri K, Jinnouchi J, Kawano K. 1987. Accurate mechanocardiogram sensors using amorphous star shaped core multivibrator combined with a magnet. IEEE Trans. Magn. MAG-23:2212-14
12. Padmanabhan V, Semmlow J, Welkowitz W. 1993. Accelerometer type cardiac transducer for detection of low level heart sound. IEEE Trans. Biomed. Eng. 40:21-28
13. Asada H, Cho K, Au K. 2001. Smart moles: a hybrid wireless stethoscope/telephone system using skin-attached passive microphones for continuous health monitoring and voice communication. Prog. Rep. No.3-1, MIT Home Autom. Healthcare Consort., Phase 3, Cambridge, Mass.
14. Murrill S, Scanlon M. 2001. Design for heart sound extraction algorithm for an acoustic based health monitoring system. Prog. Rep. Access. No. ADA409127, Army Res. Lab. Adelphi, Stress Physiol. Med. Facil., Equipm. Supplies, Maryland
15. Kroli M. 1987. Heart sound sensor. U.S. Patent No. 4672976
16. Schwartz R, Reeves J, Sodal I, Barnes F. 1980. Improved phonocardiogram system based on acoustic impedance matching. Am. J. Physiol. 238:604-9
17. Courteville A, Gharibi T, Cornu J. 1998. MMG measurement: a high sensitivity microphone based sensor for clinical use. IEEE Trans. Biomed. Eng. 45:145-50
18. Mohler S. 2001. Passive/noninvasive systemic and pulmonary blood pressure measurement. U.S. Patent No. 6179783
19. Berger S, Talbot L, Yao L. 1983. Flow in curved pipes. Ann. Rev. Fluid Mech. 15:461-512
20. Banks H, Pinter G. 2005. A probabilistic multiscale approach to hysteresis in shear wave propagation in biotissue. Multiscale Model. Simul. 3:395-412
21. Borisyul A. 1999. Noise field in die human chest due to turbulent flow in large bloodvessel. Flow Turbul. Combust. 61:269-84
22. Banks H, Barnes J, Eberhardt A, Tran H, Wynne S. 2002. Modeling and computation of propagating waves from coronary stenoses. Comp. Appl. Math. 21:767-88
23. Taylor C, Hughes T, Zarins C. 1998. Finite element modeling of three dimensional pulsatile flow in the abdominal aorta: relevance to atherosclerosis. Ann. Biomed. Eng. 26:975-87
24. Pedley T. 2003. Mathematical modeling of arterial fluid dynamics. J. Eng. Math. 47:419-44
25. Goral-Wojcicka A, Borgiel W, Malota Z, Nawrat Z. 2002. On the acoustic phenomena produced by turbulence in the flowing blood. Polish J. Med. Phys. Eng. 8:29-35
26. Wang J, Tie B, Welkowitz W, Semmlow J, Kostis J. 1990. Modeling sound generation in stenosed coronary arteries. IEEE Trans. Biomed. Eng. 37:1087-94
27. Lees RS, Dewey CF. 1970. Phonoangiography: a new noninvasive diagnostic method for studying arterial disease. Proc. Natl. Acad. Sci. 67:935-42
28. Semmlow J, Welkowitz W, Kostis J, Makenzie J. 1988. Coronary artery disease - correlates between diastolic auditory characteristics and coronary artery stenosis. IEEE Trans. Biomed. Eng. BME-30:136-39
29. Akay Y, Akay M, Welkowitz W, Lewkowicz S, Palti Y. 1994. Dynamics of sounds caused by partially occluded femoral arteries in dogs. Ann. Biomed. Eng. 22:493-500
30. Semmlow J, Akay M, Welkowitz W. 1990. Noninvasive detection of coronary artery disease using parametric spectral analysis methods. IEEE Engr. Med. Biol. Mag. 9:33-36
31. Guler I, Kiymik MK, Guler NF. 1996. Order determination in autoregressive modeling of diastolic heart sounds. J. Med. Syst. 20:11-17
32. Akay M, Welkowitz W, Semmlow JL, Kostis J. 1991. Application of the ARMA method to acoustic detection of coronary artery disease. Med. Biol. Eng. Comput. 29:365-72
33. Akay M, Akay Y, Welkowitz W, Semmlow J, Kostis J. 1992. Application of adaptive filters to noninvasive acoustical detection of coronary occlusions before and after occlusions. IEEE Trans. Biomed. Eng. 39:176-84
34. Semmlow J. 2004. Biosignal and Biomedical Image Processing: MATLAB-Based Applications. New York: Marcel Dekker
35. Akay M, Semmlow J, Welkowitz W, Bauer M, Kostis J. 1990. Noninvasive detection of coronary stenosis before and after angioplasty using eigen vector methods. IEEE Trans. Biomed. Eng. 37:1095-104
36. Akay Y, Akay M, Welkowits W, Semmlow J, Kostis J. 1993. Noninvasive acoustical detection of coronary artery disease: a comparative study of signal processing methods. IEEE Trans. Biomed. Eng. 40:571-78
37. Akay M, Akay YM, Welkowitz W, Semmlow JL, Kostis J. 1993. Application of adaptive FFT/FAST zero tracking filters to noninvasive characterization of the sound pattern caused by coronary artery stenosis before and after angioplasty. Ann. Biomed. Eng. 21:9-17
38. Akay M, Akay YM, Welkowitz W, Semmlow JL, Kostis J. 1993. Noninvasive characterization of the sound pattern caused by coronary artery stenosis using FTF/FAEST zero tracking filters: normal/abnormal study. Ann. Biomed. Eng. 21:175-82
39. Mohler S. 2000. Sonospectrographic analyzer. U.S. Patent No. 6053872
40. Akay Y, Akay M, Welkowits W, Kostis J. 1994. Noninvasive detection of coronary artery disease using wavelet-based fuzzy neural networks. IEEE Eng. Med. Biol. 13:761-64
41. Shertukde H, Shertukde R. 2005. Apparatus and method for noninvasive diagnosing of coronary artery disease. U.S. Patent No. 20050038360
42. Akay M. 1992. Noninvasive diagnosis of coronary artery disease using a neural network algorithm. Biol. Cybern. 67:361-67
43. Akay M, Welkowitz W. 1993. Acoustical detection of coronary occlusions using neural networks. J. Biomed. Eng. 15:469-73
44. Padmanhban V, Semmlow JL. 1994. Dynamical analysis of diastolic heart sounds associated with coronary artery disease. Ann. Biomed. Eng. 22:264-71
45. Grassberger P, Procaccia I. 1983. Measuring the strangeness of strange attractors. Physica 9D:89-208
46. Xiao Y, Xiao S, Cao Z, Zhou S, Pei J. 1999. The phonocardiogram exercise test: a noninvasive and inexpensive method for detecting changes of cardiac reserve based on heart sound signal processing. IEEE Eng. Med. Biol. Mag. 18:111-15
47. Yoshida H, Shino H, Yana K. 1997. Instantaneous frequency analysis for systolic murmur for phonocardiogram. Proc. IEEE Annu. Int. Conf. Eng. Med. Biol. Soc., 19th, Chicago, 4:1645-47. Piscataway, NJ: IEEE Publ.
48. Zhidong Z. 2005. Noninvasive diagnosis of coronary artery disease based in instantaneous frequency of diastolic murmurs and SVM. Proc. IEEE Eng. Med. Biol. Annu. Conf., 27th, Shanghai, pp. 5651-54. Piscataway, NJ: IEEE Publ.
49. Owsley N, Ferry G. 2000. Array phonocardiography. IEEE 2000 Adapt., Syst. Sign. Proc., Comm., Contr. Symp., AS-SPCC, Lake Louise, Alta, pp. 31-36. Piscataway, NJ: IEEE Publ.