Improved signal processing techniques for the analysis of high resolution serosal slow wave activity in the stomach

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 1737-1740

  Paskaranandavadivel, Niranchan ^a   Cheng, Leo K ^a   Du, Peng ^a   O'Grady, Gregory ^a   Pullan, Andrew J ^a,b  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION TIME; BASELINE DRIFT; DERIVATIVE FILTER; ELECTRICAL MAPPING; FINITE DIFFERENCE APPROACH; GASTRIC ELECTRICAL ACTIVITIES; GAUSSIANS; HIGH FREQUENCY INTERFERENCE; HIGH RESOLUTION; HIGH-RESOLUTION MAPPING; MEDIAN FILTER; NOISE REMOVAL; QUANTITATIVE MEASURES; RAPID PROCESSING; RECORDED SIGNALS; SAVITZKY-GOLAY; SAVITZKY-GOLAY FILTER; SEMI-AUTOMATED; SIGNAL PROCESSING TECHNIQUE; SLOW WAVE;

ACOUSTIC WAVE VELOCITY; ACTIVATION ANALYSIS; MAPPING; SIGNAL PROCESSING;

QUALITY CONTROL;

ALGORITHM; ARTICLE; ARTIFACT; COMPUTER ASSISTED DIAGNOSIS; ELECTROMYOGRAPHY; HUMAN; METHODOLOGY; MIGRATING MYOELECTRIC COMPLEX; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SEROSA; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STOMACH;

ALGORITHMS; ARTIFACTS; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROMYOGRAPHY; HUMANS; MYOELECTRIC COMPLEX, MIGRATING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SEROUS MEMBRANE; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO; STOMACH;

EID: 84862269147     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090497     Document Type: Conference Paper

References (17)

1. L. K. Cheng, G. O'Grady, P. Du, J. U. Egbuji, J. A. Windsor, and A. J. Pullan, "Gastrointestinal system," Wiley Interdiscip. Rev. Syst. Biol. Med., vol. 2, no. 1, pp. 65-79, 2010.
2. G. O'Grady, P. Du, W. J. E. P. Lammers, J. U. Egbuji, P. Mithraratne, J. D. Z. Chen, L. K. Cheng, J. A. Windsor, and A. J. Pullan, "Highresolution entrainment mapping of gastric pacing: a new analytical tool," Am. J. Physiol. Gastrointest. Liver Physiol., vol. 298, no. 2, p. G314, 2010.
3. P. Du, G. O'Grady, J. U. Egbuji, W. J. E. P. Lammers, D. Budgett, P. Nielsen, J. A. Windsor, A. J. Pullan, and L. K. Cheng, "Highresolution mapping of in vivo gastrointestinal slow wave activity using flexible printed circuit board electrodes: methodology and validation," Ann. Biomed. Eng., vol. 37, no. 4, pp. 839-846, 2009.
4. G. O'Grady, P. Du, L. K. Cheng, J. U. Egbuji, W. J. E. P. Lammers, J. A. Windsor, and A. J. Pullan, "Origin and propagation of human gastric slow-wave activity defined by high-resolution mapping," Am. J. Physiol. Gastrointest. Liver Physiol., vol. 299, no. 3, p. G585, 2010.
5. W. J. E. P. Lammers. (2011) Smoothmap v3.03. [Online]. Available: http://www.fmhs.uaeu.ac.ae/smoothmap/
6. J. C. Erickson, G. O'Grady, P. Du, C. Obioha, W. Qiao, W. O. Richards, L. A. Bradshaw, A. J. Pullan, and L. K. Cheng, "Falling-Edge, Variable Threshold (FEVT) Method for the Automated Detection of Gastric Slow Wave Events in High-Resolution Serosal Electrode Recordings," Ann. Biomed. Eng., vol. 38, no. 4, pp. 1511-1529, 2010.
7. J. C. Erickson, G. O'Grady, P. Du, J. U. Egbuji, A. J. Pullan, and L. K. Cheng, "Automated Gastric Slow Wave Cycle Partitioning and Visualization for High-resolution Activation Time Maps," Ann. Biomed. Eng., pp. 1-15, 2011.
8. P. Kligfield, L. S. Gettes, J. J. Bailey, et al., "Recommendations for the standardization and interpretation of the electrocardiogram:: Part i: The electrocardiogram and its technology: A scientific statement from the american heart association electrocardiography and arrhythmias committee, council on clinical cardiology; the american college of cardiology foundation; and the heart rhythm society. endorsed by the international society for computerized electrocardiology," Heart Rhythm, vol. 4, no. 3, pp. 394-412, 2007.
9. M. S. Friedrichs, "A model-free algorithm for the removal of baseline artifacts," J. Biomol. NMR., vol. 5, no. 2, pp. 147-153, 1995.
10. D. Zhang, "Wavelet approach for ecg baseline wander correction and noise reduction," in Proc. IEEE EMBS 27th Annual Conf., Shangai, China, pp. 1212-1215, 2005.
11. S. Hargittai, "Savitzky-Golay least-squares polynomial filters in ECG signal processing," in Comput. Cardiol., 2005, pp. 763-766.
12. S. G. Chang, B. Yu, and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Trans. Image Processing, vol. 9, no. 9, pp. 1532 -1546, Sept. 2000.
13. R. Alcaraz and J. J. Rieta, "Adaptive singular value cancelation of ventricular activity in single-lead atrial fibrillation electrocardiograms, " Physiol. Meas., vol. 29, p. 1351, 2008.
14. W. J. E. P. Lammers, L. V. Donck, J. A. J. Schuurkes, and B. Stephen, "Peripheral pacemakers and patterns of slow wave propagation in the canine small intestine in vivo," Can. J. Physiol. Pharmacol., vol. 83, no. 11, pp. 1031-1043, 2005.
15. E. H. Isaak and R. M. Srivastava, An Introduction to Applied Geostatistics. Oxford University Press, New York, 1989.
16. R. King, C. Ruffin, F. LaMastus, and D. Shaw, "The analysis of hyperspectral data using Savitzky-Golay filtering-Practical issues (Part 2)," Proc. IEEE IGARSS, 1999.
17. P. V. Bayly, B. H. KenKnight, J. M. Rogers, R. E. Hillsley, R. E. Ideker, and W. M. Smith, "Estimation of conduction velocity vector fields from epicardial mapping data," IEEE Trans. Biomed. Eng., vol. 45, no. 5, pp. 563 -571, May 1998.