An intelligent ballistocardiographic chair using a novel SF-ART neural network and biorthogonal wavelets

Journal of Medical Systems

Volumn 31, Issue 1, 2007, Pages 69-77

  Akhbardeh, Alireza ^a   Junnila, Sakari ^a   Koivistoinen, Teemu ^b   Värri, Alpo ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

^b TAMPERE UNIVERSITY HOSPITAL   (Finland)

Author keywords

Ballistocardiogram; Biorthogonal wavelet transform; Classification; Intelligent chair; Novel SF ART neural network

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; HUMAN; MALE; MECHANOCARDIOGRAPHY; PERCEPTRON; RELIABILITY; SUPERVISED FUZZY ADAPTIVE RESONANCE THEORY; THEORY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; BALLISTOCARDIOGRAPHY; COMPUTER SIMULATION; COMPUTERS; FUZZY LOGIC; LEARNING; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; SENSATION; TIME FACTORS;

EID: 33845918546     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-006-9044-x     Document Type: Article

References (20)

1. Starr, I., Further clinical studies with the ballistocardiograph on abnormal form, on digitalis action, in thyroid disease, and in coronary heart disease. Trans. Assoc. Am. Physicians 59:180-189, 1946.
2. Baker, B. M., Jr., Scarborough, W. R., Mason, R. E., et al., Coronary artery disease studies by ballistocardiography: a comparison of abnormal ballistocardiograms and electrocardiograms. Ann. Proc. Clin. Climatol. Assoc. 62:191, 1950.
3. Lekkala, J., and Paajanen, M., EMFi - new electret material for sensors and actuators. Proc. 10th IEEE Internat. Symposium on Electrets, Delphi, Greece, 22-24 September 1999 pp. 743-746.
4. Yu, X., and Dent, D., Neural networks in Ballistocardiography (BCG) using FPGAs. IEE Colloquium on Software Support and CAD Techniques for FPGAs, 13 Apr 1994 pp. 7/1-7/5.
5. Jansen, B. H., Larson, B. H., and Shankar, K., Monitoring of the ballistocardiogram with the static charge sensitive bed. Biomed. Eng. IEEE Trans. 38(8):748-751, 1991.
6. Yu, X., Gong, D. J., Osborn, C., and Dent, D., A wavelet multireolution and neural network system for BCG signal analysis. 1996 IEEE TECON-Digital signal processing Applications, pp. 491-495, 1996.
7. Akhbardeh, A., Vahabian, A., and Farrokhi, M., EEG features extraction using neuro-fuzzy systems and shift-invariant wavelet transforms for epileptic seizure diagnosing. Proc. 26th Annual Internat. Conference of the IEEE EMBS, San Francisco, CA, USA, pp. 498-502, 2004.
8. Akhbardeh, A., Junnila, S., Koivuluoma, M., Koivistoinen, T., and Värri, A., Evaluation of heart condition based on ballistocardiogram classification using compactly supported wavelet transforms and neural networks. In Proc. of the 2005 IEEE Conference on Control Applications, pp. 843-848, 2005, Toronto, Canada.
9. Akhbardeh, A., Koivuluoma, M., Koivistoinen, T., and Värri, A., BCG data clustering using new method so-called time-frequency moments singular value decomposition (TFM-SVD) and artificial neural networks. 2005 International Symposium on Intelligent Control 13th Mediterranean Conference on Control and Automation, 2005, Limassol, Cyprus.
10. Akhbardeh, A., Junnila, S., Koivuluoma, M., Koivistoinen, T., and Värri, A., Heart disease diagnosing mechatronics based on static charge sensitive chair's measurement, biorthogonal wavelets and neural classifiers. 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2005) July 24-28, 2005, Monterey, California., USA.
11. Akhbardeh, A., and Värri, A., Novel supervised fuzzy adaptive resonance theory (SF-ART) neural network for pattern recognition. IEEE International Symposium on Intelligent Signal Processing (WISP'05), 2005, pp. 149-154, Faro, Portugal.
12. Mallat, S., A Wavelet Tour of Signal Processing, Academic Press, 1997.
13. Burrus, S., Gopinoth, R., and Haitao, G., Introduction to Wavelets and Wavelet Transforms, Printice Hall Inc., 1998.
14. Akhbardeh, A., and Erfanian, A., Eye tracking user interface using EOG signal and neuro-fuzzy systems for human-computer interaction aids. PhD Thesis, Iran University of Science & Technoloy, Narmak, Tehran, Iran, May 2001.
15. Junnila, S., Koivistoinen, T., Kööbi, T., Niitylahti, J., and Värri, A., A simple method for measuring and recording ballistocardiogram. In Proc. 17th Biennial International EURASIP Conference Biosignal 2004, Brno, Czech Republic, pp. 232-234, 2004.
16. Koivuluoma, M., Alametsä, J., and Värri, A., EMFI as physiological signal sensor, first results. In Proc. URSI XXVI Convention on Radio Science and Second Finnish Wireless Communication Workshop, Tampere, Finland, p. 2s, 2001.
17. Haykin, S., Neural Networks, a Comprehensive Foundation (2nd ed.), Prentice Hall PTR, New Jersey, USA, 1998.
18. Frank, T., Kraiss, K.-F., and Kuhlen, T., Comparative analysis of fuzzy ART and ART-2A network clustering performance. IEEE Trans. Neural Netw. 9:544-559, 1998.
19. Gert Cauwenberghs, Technical Report: Fuzzy ART Classifier, URL: http://bach.ece.jhu.edu/~gert/muri/node7.html#ARTuChips.
20. Cohen, M., Abshire, P., and Cauwenberghs, G., Mixed-mode VLSI implementation of fuzzy ART. In Proc. IEEE Int. Symp. Circuits and Systems (ISCAS'98), Monterey CA, May 31-June 3, 1998.