›› 2012, Vol. 27 ›› Issue (6): 1243-1251.doi: 10.1007/s11390-012-1300-6

• Artificial Intelligence and Pattern Recognition • Previous Articles     Next Articles

Heart Rate Extraction from Vowel Speech Signals

Abdelwadood Mesleh1, Dmitriy Skopin1, Sergey Baglikov2, and Anas Quteishat1   

  1. 1. Computer Engineering Department, Faculty of Engineering Technology, Al-Balqa' Applied University, Amman, Jordan;
    2. Help MediCom Group, Kursk, Russia
  • Received:2011-11-17 Revised:2012-05-14 Online:2012-11-05 Published:2012-11-05
[1] Nelson M, Rejeski W, Blair S et al. Physical activity and pub-lic health in older adults: Recommendation from the Amer-ican college of sports, medicine and the American heart as-sociation. Medicine & Science in Sports & Exercise, 2007,39(8): 1435-1445.

[2] Berntson G, Bigger J, Eckberg D et al. Heart rate variability:Origins, methods, and interpretive caveats. Psychophysiol-ogy, 1997, 34(6): 623-648.

[3] Georgoulas G, Stylios C, Groumpos P. Predicting the risk ofmetabolic acidosis for newborns based on fetal heart rate sig-nal classification using support vector machines. IEEE Trans.Biomedical Engineering, 2006, 53(5): 875-884.

[4] Vasios G, Prentza A, Blana D et al. Classification of fe-tal heart rate tracings based on wavelet-transform and self-organizing-map neural networks. In Proc. the 23rd AnnualInt. Conf. IEEE Engineering in Medicine and Biology Soci-ety, October 2001, Vol.2, pp.1633-1636.

[5] Linh T, Osowski S, Stodolski M. On-line heart beat recog-nition using Hermite polynomials and neuro-fuzzy network.IEEE Trans. Instrum. Meas., 2003, 52(4): 1224-1231.

[6] Li S, Ji Y, Liu G. Optimal wavelet basis selection of waveletshrinkage for ECG de-noising. In Proc. Int. Conf. Manage-ment and Service Science, September 2009, pp.1-4.

[7] Hu Y, Palreddy S, Tompkins W. A patient-adaptable ECGbeat classifier using a mixture of experts approach. IEEETrans. Biomedical Engineering, 1997, 44(9): 891-900.

[8] Moraes J, Seixas M, Vilani F, Costa E. A real time QRScomplex classification method using Mahalanobis distance. InProc. Computers in Cardiology, Sept. 2002, pp.201-204.

[9] Papaloukas C, Fotiadis D, Likas A, Michalis L. Automatedmethods for ischemia detection in long duration ECGs. Car-diovascular Reviews & reports, 2003, 24(6): 313-319.

[10] Jager F. Feature extraction and shape representation of am-bulatory electrocardiogram using the Karhunen-Loμeve trans-form. Electrotechnical Review, 2002, 69(2): 83-89.

[11] Cuesta-Frau D, Pérez-Cortés J, Andreu-García G, Novák D.Feature extraction methods applied to the clustering of elec-trocardiographic signals: A comparative study. In Proc. the16th Int. Conf. Pattern Recognition, August 2002, Vol.3,pp.961-964.

[12] Skopin D, Baglikov S. Heartbeat feature extraction fromvowel speech signal using 2D spectrum representation. InProc. the 4th Int. Conf. Information Technology, June 2009.

[13] Pickett J. The Acoustics of Speech Communication: Funda-mentals, Speech Perception Theory, and Technology. Allyn &Bacon, 1998.

[14] Browman C, Goldstein L. Representation and reality: Physi-cal systems and phonological structure. Journal of Phonetics,1990, 18: 411-424.

[15] Maton A, Hopkins J, McLaughlin C et al. Human Biologyand Health. New Jersey, USA: Prentice Hall, 1993.

[16] Allen J, Rabiner L. A unified approach to short-time Fourieranalysis and synthesis. Proceedings of IEEE, 1977, 65(11):1558-1564.

[17] Cohen L. Time-Frequency Analysis: Theory and Applica-tions. New Jersey, USA: Prentice Hall, 1994.

[18] Gonzales R,Woods R. Digital Image Processing (3rd edition),Prentice Hall, 2007.

[19] Sezgin M, Sankur B. Survey over image thresholding tech-niques and quantitative performance evaluation. Journal ofElectronic Imaging, 2004, 13(1): 146-168.

[20] James A, Dimitrijev S. Inter-image outliers and their applica-tion to image classification. Pattern recognition, 2010, 43(12):4101-4112.

[21] Turkbey E, Jorgensen N, Johnson W et al. Physical activityand physiological cardiac remodelling in a community setting:The Multi-Ethnic Study of Atherosclerosis (MESA). Heartand Education in Heart, 2010, 96(1): 42-48.
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[1] Liu Mingye; Hong Enyu;. Some Covering Problems and Their Solutions in Automatic Logic Synthesis Systems[J]. , 1986, 1(2): 83 -92 .
[2] Chen Shihua;. On the Structure of (Weak) Inverses of an (Weakly) Invertible Finite Automaton[J]. , 1986, 1(3): 92 -100 .
[3] Gao Qingshi; Zhang Xiang; Yang Shufan; Chen Shuqing;. Vector Computer 757[J]. , 1986, 1(3): 1 -14 .
[4] Jin Lan; Yang Yuanyuan;. A Modified Version of Chordal Ring[J]. , 1986, 1(3): 15 -32 .
[5] Chen Zhaoxiong; Gao Qingshi;. A Substitution Based Model for the Implementation of PROLOG——The Design and Implementation of LPROLOG[J]. , 1986, 1(4): 17 -26 .
[6] Huang Heyan;. A Parallel Implementation Model of HPARLOG[J]. , 1986, 1(4): 27 -38 .
[7] Min Yinghua; Han Zhide;. A Built-in Test Pattern Generator[J]. , 1986, 1(4): 62 -74 .
[8] Tang Tonggao; Zhao Zhaokeng;. Stack Method in Program Semantics[J]. , 1987, 2(1): 51 -63 .
[9] Min Yinghua;. Easy Test Generation PLAs[J]. , 1987, 2(1): 72 -80 .
[10] Zhu Hong;. Some Mathematical Properties of the Functional Programming Language FP[J]. , 1987, 2(3): 202 -216 .

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