Analysis of auscultatory sounds using single value decomposition
Patent 7300405 Issued on November 27, 2007. Estimated Expiration Date: February 18, 2024. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
600/528, Detecting heart sound181/131, Stethoscope381/67, STETHOSCOPES, ELECTRICAL345/440, Graph generating382/260, Image filter435/4MEASURING OR TESTING PROCESS INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITION OR TEST STRIP THEREFORE; PROCESSES OF FORMING SUCH COMPOSITION OR TEST STRIP
Techniques are described for analyzing auscultatory sounds to aid a medical professional in diagnosing physiological conditions of a patient. A data analysis system, for example, applies singular value decomposition to auscultatory sounds associated known physiological conditions to define a set of one or more disease regions within a multidimensional space. A diagnostic device, such as an electronic stethoscope or personal digital assistant, applies configuration data from the data analysis system to generate a set of one or more vectors within the multidimensional space representative of auscultatory sounds associated with a patient. The diagnostic device outputs a diagnostic message associated with a physiological condition of the patient based on the orientation of the vectors relative to the disease regions within the multidimensional space.
Other References
N. Ahmed et al., “Orthogonal Transforms for Digital Signal Processing,” Feature Selection in Pattern Recognition, 4 pages, 1975.
H. Liang et al., “Heart Sound Segmentation Algorithm Based on Heart Sound Envelogram,” Computers in Cardiology, vol. 24, 2 pages, 1997.
C.D. Bertram et al., “Correlation of Local Stretchings as a Way of Characterising Chaotic Dynamics Amid Noise,” Physica D 58, 14 pages, 1992.
R.B. Urquhart et al., “The Diagnostic Value of Pulmonary Sounds: A Preliminary Study By Computer-Aided Analysis,” Computer Biol. Med., vol. 11, No. 3, 12 pages, 1981.
K. Kallio et al., “Classification of Lung Sounds by Using Self-Organizing Feature Maps,” Artifical Neural Networks, pp. 803-808, 1991.
M. El-Hanjouri et al., “Heart Disease Diagnosis Using HMM,” IEEE Melecon, Cair, Egypt, pp. 489-492, May 2002.
K.S. Baydar et al., “Analysis and Classification of Respiratory Sounds by Signal Coherence Method,” Proceedings of the 25th Annual International Conference of the IEEE EMBS, Cancun, Mexico, pp. 2950-2953, Sep. 2003.
International Preliminary Report on Patentability, from corresponding PCT Application Serial No. PCT/US2004/034557, mailed Mar. 1, 2006, 10 pages.
L. Khadra et al., “The Wavelet Transform and its Applications to Phonocardiogram Signal Analysis,” Medical Informatics, vol. 16, No. 3, p. 271-277, 1991.
M. Ishikawa et al., “Phonocardiographic Approach to the Detection of Right Ventricular Myodardial Infarction,” Japanese Circulation Journal, vol. 54, pp. 1233-1245, Oct. 1990.
J.S. Jeffrey et al., “Application of Phonocardiography for Detecting Hypoxia-Induced Cardiovascular Adaption in the Chicken,” Avian Diseases, 43, pp. 359-366, 1999.
M. Piepoli et al., “Contribution of the Dynamic Phonocardiography to the Valvular Heart Disease Diagnosis: An Expert System Study,” Acta Cardiologica, International Journal of Cardiology, vol. XLV, No. 6, pp. 521-527, 1990.
M.R. Rangaraj et al., “Quantitative Analysis of the Phonocardiogram for Detection of Murmurs,” Communications, Journal of Biomedical Engineering, vol. 1, No. 4, October, 5 pages, 1979.
A. Baskaran et al., “Fetal Heart Sound Analysis: A Preliminary Evaluation,” Med. J. Malaysia, vol. 51, No. 1, pp. 64-67, Mar. 1996.
I. Cathers, “Neural Network Assisted Cardiac Auscultation,” Artificial Intelligence in Medicine, pp. 53-66, 1995.
N. Ahmed et al., “Discrete Cosine Transform,” IEEE Transactions on Computers 23(1), pp. 90-93.
A.E. Cetin et al., “Classification of Closed-and Open-Shell Pistachio Nuts Using Voice Recognition Technology,” ASAE Transactions, vol. 47(2), pp. 659-664, 2004.
C. Longhini et al., “The Fast Fourier Transform in the Analysis of the Normal Phonocardiogram,” Japanese Heart Journal, vol. 20, No. 3, pp. 333-339, May 1979.
M. Yokoi et al., “Clinical Evaluation on 5 Years' Experience of Automated Phonocardiographic Analysis,” Japanese Heart Journal, 18, 482-490, 1977.
R. Rangayyan et al., “Phonocardiogram Signal Analysis: A Review,” Cricial Reviews in Biomedical Engineering, vol. 15, Issue 3, pp. 211-236, 1998.
A. Iwata et al., “Algorithm for Detecting the First and the Second Heart Sounds by Spectral Tracking,” Medical & Biological Engineering and Computing, vol. 18, pp. 19-26, Jan. 1980.
P. Carson, “Problems in Auscultation,” The Practioner, vol. 220, pp. 370-378, Mar. 1978.
F. Kovacs et al., “A Rule-Based Phonocardiographic Method for Long-Term Fetal Heart Rate Monitoring,” IEEE Transactions on Biomedical Engineering, vol. 47, No. 1, pp. 124-130, Jan. 2000.
L-G. Durand et al., “Digital Signal Processing of the Phonocardiogram: Review of the Most Recent Advancements,” Critical Reviews in Biomedical Engineering, vol. 23, Issue 3/4, p. 163-219, 1995.
L.G. Gamero et al., “Dectection of the First and Second Heart Sound Using Probabilistic Models,” Engineering in Medicine and Biology Society, Proceedings of the 25th Annual International Conference of the IEEE, vol. 3, pp. 2877-2880, Sep. 2003.
M.R. Rangaraj et al., “Quantitative Analysis of the Phonocardiogram for Detection of Murmurs,” Journal of Biomedical Engineering, vol. 1, pp. 247-252, Oct. 1979.
C. Ortiz-Neu et al., “Error Patterns of 3rd Year Medical Students on the Cardiovascular Physical Examination,” Teaching and Learning in Medicine, vol. 13, No. 3, pp. 161-166, 2001.
M. Schroeder, “Using Singular Value Decomposition to Visualise Relations Within Multi-Agent Systems,” Proceedings of the Third International Conference on Autonomous Agents, Seattle, USA, ACM Press, pp. 313-318, 1999.
J.A. Horiszny, “Teaching Cardiac Auscultation Using Simulated Heart Sounds and Small-Group Discussion,” Family Medicine, vol. 33, No. 1, pp. 39-44, Jan. 2001.
L.J. Hadjileontiadis et al., “A Wavelet-Based Reduction of Heart Sound Noise from Lung Sounds,” International Journal of Medical Informatics, vol. 52, pp. 183-190, 1998.
L.G. Durand et al., “Comparison of Spectral Techniques for Computer-Assisted Classification of Spectra of Heart Sounds in Patients with Porcine Bioprosthetic Valves,” Medical & Biological Engineering & Computing, pp. 229-236, May 1993.
R.L. Donnerstein, “Continuous Spectral Analysis of Heart Murmurs for Evaluating Stenotic Cardiac Lesions,” The American Journal of Cardiology, vol. 64, pp. 625-630, Sep. 15, 1989.
C.G. DeGroff et al., “Artificial Neural Network-Based Method of Screening Heart Murmurs in Children,” Circulation, pp. 2711-2716, Jun. 5, 2001.
M. Cozic et al., “Development of a Cardiac Acoustic Mapping System,” Medical & Biological Engineering & Computing, pp. 431-437, Jul. 1998.
V. Chervassky et al., “Myopotential Denoising of ECG Signals Using Wavelet Thresholding Methods,” Neural Networks, vol. 14, pp. 1129-1137, 2001.
S.G. Chang et al., “Wavelet Thresholding for Multiple Noisy Image Copies,” IEEE Transactions on Image Processing, vol. 9, No. 9, pp. 1631-1635, Sep. 2000.
J.Chambers, “The Clinical and Diagnostic Features of Mitral Valve Disease,” Hospital Medicine, vol. 62, No. 2, pp. 72-78, Feb. 2001.
J.R. Bulgrin et al., “Comparison of Short-Time Fourier, Wavelet and Time-Domain Analyses of Intracardiac Sounds,” Biomedical Sciences Instrumentaiton, vol. 29, pp. 465-472, 1993.
M. Akay et al., “Application of the ARMA Method to Acoustic Detection of Coronary Artery Disease,” Medical & Biological Engineering & Computing, pp. 365-372, Jul. 1991.
International Search Report for International Application No. PCT/US2004/034557, mailed Feb. 24, 2005.
Written Opinion of the International Application No. PCT/US2004/034557, mailed Feb. 24, 2005.
S.M. Lee et al., “Heart Sound Recognition by New Methods Using the Full Cardiac Cycled Sound Data,” IEICE Transactions on Information and Systems, Institute of Electronics Information and Communication Engineering, Tokyo, JP, vol. E84-D, No. 4, pp. 521-529, Apr. 2001.
T. Olmez et al., “Classification of Heart Sounds Using an Artificial Neural Network,” Pattern Recognition Letters, vol. 24, No. 1-3, pp. 617-629, Jan. 2003.
H.P. Sava et al., “Spectral Analysis of Carpentier-Edwards Prosthetic Heart Valve Sounds in the Aortic Position Using SVD-Based Methods,” IEE Colloquim on Signal Processing in Cardiography, pp. 6-1-6-4, 1995.
J. Semmlow, W. Welkowitz, J. Kostis, and J.W. Mackenzie, “Coronary Artery Disease—Correlates Between Diastolic Auditory Characteristics and Coronary Artery Stenoses,” IEEE Transactions on Biomedical Engineering, vol. BME-30, No. 2, pp. 136-139, Feb. 1983.
Michael Schroeder, “Using Singular Valve Decomposition to Visualise Relations Within Multi-Agent Systems,” In Proceedings of the Third Conference on Autonomous Agents, Seattle, USA: ACM Press, pp. 313-318, 1999.
Curt G. DeGroff, M.D., Sanjay Bhatikar, Ph.D., Jean Hertzberg Ph.D., Robin Shandas, Ph.D., Lilliam Valdes-Cruz, M.D., Roop L. Mahajan, Ph.D., “Artificial Neural Network-Based Method of Screening Heart Murmurs in Children,” Circulation, pp. 2711-2716, Jun. 5, 2001.
Louis-Gilles Durand, Michel Blanchard, Guy Cloutier, Hani N. Sabbah, Paul D. Stein, “Comparison of Pattern Recognition Methods for Computer-Assisted Classification of Spectra of Heart Sounds in Patients with a Porcine Bioprosthetic Valve Implanted in the Mitral Position,” IEEE Transactions on Biomedical Engineering, vol. 37, No. 12, pp. 1121-1129, Dec. 1990.
Messer S.R., Agzarian J., Abbott D., “Optimal Wavelet Denoising for Phonocardiograms,” Microelectronics Journal, vol. 32, pp. 931-941, 2001.
Louis-Gilles Durand, Philippe Pibarot, “Digital Signal Processing of the Phonocardiogram: Review of the Most Recent Advancements.” Critical Reviews in Biomedical Engineering, vol. 23, Issue (3/4), pp. 163-219, 1995.
C. Longhini, M.D., F. Portaluppi, M.D., E. Arslan, M.D., F. Pedrielli, M.S., “The Fast Fourier Transform in the Analysis of the Normal Phonocardiogram,” Japanese Heart Journal, vol. 20, No. 3, pp. 333-339, May 1979.
Rangaraj M. Rangayya, Richard J. Lehner, “Phonocardiogram Signal Analysis: A Review,” Critical Reviews in Bomedical Engineering, vol. 15, Issue 3, pp. 211-236, 1988.
Leonard Karpman, M.D., John Cage, Charles Hill, A.D. Forbes, Valerie Karpman, Keith Cohn, MD, F.A.C.C., “Sound Envelope Averaging and the Differential Diagnosis of Systolic Murmurs,” American Heart Journal, vol. 90, pp. 600-606, 1975.
February 18, 2024. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
