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Original Articles

Quality Assurance in Cardiac Disease Diagnostic using Computerised Feature Extraction of ECG Signal

, FIETE, , FIETE &
Pages 377-386 | Published online: 26 Mar 2015

REFERENCES

  • Macfarlane P W, A brief history of computer-assisted electrocardiography, Methods of Information in Medicine, vol 29, pp 272–281, 1990.
  • Willems J L, Arnaud P, Bemmel van J H, Degani R, Macfarlane P W, & Zywietz Chr, Common standards for quantitative electrocardiography: Goals and main results, Methods of Information in Medicine, vol 29, pp 263–271,1990.
  • Willems J L, The CSE Multilead atlas manual-measurement results dataset-3, Printed in Belgium by ACCO, Brusselsestraat-118a, 3000 Leuven, Belgium, 1988.
  • Willems J L, Abreu-Lima, Arnaud P, Brohet C R, Denis B, Gehing J, Graham I, Herpen van G, Machado H, Michaelis J & Moulopoulous, Evaluation of ECG interpretation results obtained by computer and cardiologists, Methods of Information in Medicine, vol 29, pp 308–316, 1990.
  • Willems J L, Recommendations for measurement standards in quantitative electrocardiography, European Heart Jl, vol 6, pp 815–825, 1985.
  • Pipberger H V, McManus C D & Pipberger H A, Methods of ECG interpretation in the AVA program, Methods of Information in Medicine, vol 29, pp 337–341, 1990.
  • Okajima M, Okamoto N, Yokoi M, Iwatsuka T & Ohsawa N, Methods of ECG interpretation in the Nagoya program, Methods of Information in Medicine, vol 29, pp 341–345, 1990.
  • Bemmel van J H, Kors J A & Herpen van G, Methods of the Modular ECG Analysis System MEANS, Methods of Information in Medicine, vol 29, pp 346–353, 1990.
  • Macfarlane P W, Methods of ECG interpretation in the Glasgow program, Methods of Information in Medicine, vol 29, pp 354–361, 1990.
  • Rautaharju, P M, MacInnis P J, Warren J W, Wolf H K, Rykers & Calhoun, Methodology of ECG interpretation in the Dalhousie program; NOVACODE ECG classification procedures for clinical trials and population health surveys, Methods of Information in Medicine, vol 29, pp 362–374, 1990.
  • Zywietz Chr, Borovsky D, Gotsch G, & Joseph G, Methods of ECG interpretation in the Nagoya program, Methods of Information in Medicine, vol 29, pp 375–385,1990.
  • Degani R & Bortolan G, Methods of ECG interpretation in the Padova program, Methods of Information in Medicine, vol 29, pp 386–392, 1990.
  • Arnaud P, Rubel P, Morlet D E, Fayn & Forlini M C, Methods of ECG interpretation in the Lyon program, Methods of Information in Medicine, vol 29, pp 393–402,1990.
  • Brohet C R, Derwael C, Robert A & Fesler R, Methods of ECG interpretation in the Louvain program, Methods of Information in Medicine, vol 29, pp 403–409, 1990.
  • Abreu-Lima & Marques de Sa, Interpretation of short ECGs with a PC: The Porto Program, Methods of Information in Medicine, vol 29, pp 410–412, 1990.
  • Lee H S, Cheng Q L & Thakor N V, ECG waveform analysis by significant point extraction I: Data reduction, Comput Biomed Res, vol 20, pp 410–427, 1987.
  • Cheng Q L, Lee H S, Thakor N V, ECG waveform analysis by significant point extraction II: Pattern matching, Comput Biomed Res, vol 20, pp 428–442, 1987.
  • Pan J & Tompkins W J, A real-time QRS detection algorithm, IEEE Trans on BME, vol 32, no 3, pp 230–236, March 1985.
  • Shaw G R & Savard P, On the detection of QRS variations in the ECG, IEEE Trans on BME, vol 42, no 7, pp 736–741, July 1995.
  • Gustavo B, Renato D & Franco F, A contribution to the automatic processing of electrocardiograms using syntactic methods, IEEE Trans on BME, vol 26, no 3, pp 125–136, March 1979.
  • Trahanias P & Skordalakis E, Bottom-up approach to the ECG pattern-recognition problem, Medical & Biological Engineering & Computing, vol 27, no 5, pp 221–229, May 1989.
  • Okada M, A digital filter for the QRS complex detection, IEEE Trans on BME, vol 26, no 12, pp 700–703, December 1979.
  • Thakor N V, Webster J G & Tompkins W J, Estimation of QRS complex power spectra for design of a QRS filter, IEEE Trans on BME, vol 31, no 11, pp 702–706, November 1984.
  • Pan J & Tompkins W J, A real—time QRS detection algorithm, IEEE Trans on BME, vol 32, no 3, pp 230–236, March 1985.
  • Hamilton P S & Tompkins W J, Quantitative investigation of QRS detection rules using the MIT/BIH Arrhythmia database, IEEE Trans on BME, vol 33, no 12, pp 1157–1165, December 1986.
  • Laguna P, Vigo D, Jane R & Caminal P, Automatic wave onset and offset determination in ECG signals: validation with the CSE database, Computers in Cardiology, Los Alamitos, CA, USA, IEEE Computer Society Press, pp 167–170, 1992.
  • Escalona O J, Mitchell R H, Balderson P E & Harron D W G, Fast and reliable QRS alignment technique for high-frequency analysis of signal-averaged ECG, Medical & Biological Engineering & Computing, pp 137–146, July 1993.
  • Urrusti J L & Tompkins W J, Performance evaluation of an ECG QRS complex detection algorithm, Computers in Cardiology (Los Alamitos California, USA, IEEE, Computer Society Press), pp 800–801, 1993.
  • Dandapat S & Ray G C, Spike detection in biomedical signals using midprediction filter, Medical & Biological Engineering & Computing, pp 354–360, July 1997.
  • Afonso V X, Tompkins W J, Nguyen N Q & Luo S, ECG beat detection using filter banks, IEEE Trans on BME, vol 46, no 2, pp 192–202, February 1999.
  • Acar B, Yi G, Hnatkova K & Malik M, Spatial, temporal & wavefront direction characteristics of 12-lead T-wave morphology, Medical & Biological Engineering & Computing, vol 37, pp 574–584, 1999.
  • Pahlm O & Sommo L, Software QRS detection in ambulatory monitoring—A review, Medical & Biological Engineering & Computing, vol 23, pp 289–297, 1984.
  • Jan L T, Jan A K & Jan H V B, Algorithms for the detection of events in electrocardiograms, Computer methods and programs in Biomedicine, pp 149–161, 1986.
  • Sommo L, Pahlm O, Mats-Erik N & Per O B, A mathematical approach to QRS detection, IEEE Computers in Cardiology, pp 205–208, 1980.
  • Naima F M A & Saxena S C, Analysis of ECG signal using mixed mathematical basis functions, IEEE MELECON, vol 2, pp 139–142, 1985.
  • Naima F MA & Saxena S C, Computer-aided techniques for the extraction of ECG parameters, International Journal of System Science, vol 20, no 5, pp 747–757,1989.
  • Trahanias P E, An approach to QRS complex detection using mathematical morphology, IEEE Trans on BME, vol 40, no 2, pp 201–205, February 1993.
  • Gang Li, Wenyu Y, Ling L, Qilian Y & Xuemin Y, An artificial-intelligence approach to ECG analysis, IEEE Engineering in Medicine and Biology, pp 95–100, March/April 2000.
  • Kundu M, Nasipuri M & Basu D K, A knowledge based approach to ECG interpretation using fuzzy logic, IEEE Trans on Sys Man & Cyber, vol 28, no 2, pp 237–243, April 1998.
  • Xue Q, Yu Hen Hu, & Tompkins W J, Neural network based adaptive matched filtering for QRS detection, IEEE Trans on BME, vol 39, no 4, pp 317–329, April 1992.
  • Yilmaz A & English M J, Adaptive non-linear filtering of ECG signals: dynamic neural network approach, IEE colloquium ‘Artificial intelligence methods for biomedical data processing’ Digest no 1966/100, pp 1/1–1/6, April 1996.
  • Laguna P, Jane R, Olmos S, Thakor N V, Rix H & Caminal P, Adaptive estimation of QRS complex wave features of ECG signal by the Hermite Model, Medical & Biological Engineering & Computing, pp 58–68, January 1996.
  • Kadambe S, Murray R & Bartels G FB, Wavelet transform based QRS complex detector, IEEE Trans on BME, vol 46, no 7, pp 838–848, July 1999.
  • Li C, Zheng C & Tai C, Detection of ECG characteristic points using wavelet transforms, IEEE Trans on BME, vol 42, no 1, pp 21–28, January 1995.
  • Rao K D, DWT based detection of R-peaks & data compression of ECG signals, IETE Journal of Research, vol 43, no 5, pp 345–349, September/October 1997.
  • Sahambi J S, Tandon S N & Bhatt RKP, Using wavelet transforms for ECG characterization—An online digital signal processing system, IEEE Engg in Medicine and Biology, pp 77–83, January/February 1997.
  • Sahambi J S, Tandon S N & Bhatt RKP, Wavelet based ST-segment analysis, Medical & Biological Engineering & Computing, vol 36, pp 568–572, September 1998.
  • Murthy ISN & Prasad GSD, Analysis of ECG from Pole-zero models, IEEE Trans on BME, vol 39, no 7, pp 741–751,1992.
  • Desai M D & Saxena S C, Comparative ECG analysis using Einthovan & Burger triangle, Journal of institution of Engineers (I), vol 63, EDGE 3, pp 58–66, 1982
  • Pande V N, Verma H K & Mukhopadhyay P, Characterization of QRS complex & its detection with microprocessor, Journal of institution of Engineers (I), vol 65, IDGE 2, pp 39–44, 1985.
  • Mehta S S, Saxena S C & Verma H K, Computer-aided interpretation of ECG for diagnostics, International Journal of Systems Science, vol 27, no 1, pp 43–58, January 1996.
  • Maheshwari R, Vijaya G, Kumar Vinod & Verma H K, Signal-analysis and a heuro-logistic interpretation of multi-lead electrocardiograms, International Journal of Systems Science, vol 29, no 3, pp 323–334, March 1998.
  • Vijaya G, Kumar Vinod & Verma H K, ANN-based QRS-complex analysis of ECG, Journal of Medical Engineering & Technology, vol 22, no 4, pp 160–167, July/August 1998.
  • Vijaya G, Kumar Vinod & Verma H K, Artificial neural network based wave complex detection in electrocardiograms, International Journal of Systems Science, vol 28, no 2, pp 125–132, February 1997.
  • Saxena S C, Kumar Vinod & Hamde S T, Feature extraction from ECG signals using wavelet transforms for disease diagnostics, International Journal of Systems Science, vol 33, no 13, pp 1073–1085, 2002.
  • Saxena S C, Kumar Vinod & Hamde S T, QRS detection using new wavelets, Journal of Medical Engineering & Technology, vol 26, no 1, pp 7–15, January/February 2002.
  • Saxena S C, Kumar Vinod & Hamde S T, ECG data compression using non-redundant templates, IETE Tech Review, vol 17, no 5, pp 299–310, September/October 2000.
  • Saxena S C, Sharma A & Chaudhary S C, Data compression & feature extraction of ECG signals, International Journal of Systems Science, vol 28, no 5, pp 483–498, May 1997.
  • Saxena S C & Giri V K, ECG data compression using SAPA-CTC techniques, Proceedings of International Conf on Computer Applications in electrical engineering-Recent Advances CERA-97, UOR, Roorkee, pp 26–31, September 1997.
  • Saxena S C, Kumar Vinod & Giri V K, EBP-NN based ECG Data compression, Proceedings of International Conf on Computer applications in Electrical engineering—Recent Advances, CERA-01, IIT Roorkee, pp 175–187, February 2002.
  • Kulkarni P K, Kumar Vinod & Verma H K, Diagnostic acceptability of FFT-based ECG data compression, Journal of Medical Engineering & Technology, vol 21, no 5, pp 185–189, Sept-Oct, 1997.
  • Kulkarni P K, Kumar Vinod & Verma H K, Direct data compression techniques for ECG signals: effect of sampling frequency on performance, International Journal of Systems Science, vol 28, no 3, pp 217–228, March 1997.
  • Kulkarni P K, Kumar Vinod & Verma H K, ECG data compression using fast Walsh transform & its clinical acceptability, International Journal of Systems Science, vol 28, no 8, pp 831–836, August 1997.
  • Saxena S C, Kumar Vinod & Giri V K Telecardiology for Effective Healthcare Services, Journal of Medical Engineering & Technology, (Accepted for publication).

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