Automated detection of qualitative spatio-temporal features in electrocardiac activation maps

References 

1. Ramanathan C, Ghanem R, Jia P, Ryu K, Rudy Y. Noninvasive electrocardiographic imaging for cardiac electrophysiology and arrythmia. Nat Med. 2004;10(4):1–7
   • CrossRef
2. Bratko I, Mozetic I, Lavrac N. Kardio: a study in deep and qualitative knowledge for expert systems. Cambridge, MA: MIT Press; 1989;
3. Carrault G, Cordier M-O, Quiniou R, Weng F. Temporal abstraction and inductive logic programming for arrhythmia recognition from ECG. Artif Intell Med. 2003;28:231–263
   • Abstract
   • Full Text
   • Full-Text PDF (565 KB)
   • CrossRef
4. Kundu M, Nasipuri M, Basu D. A knowledge based approach to ECG interpretation using fuzzy logic. IEEE Trans Syst Man Cybern. 1998;28(2):237–243
5. Watrous R, Towell G. A patient-adaptive neural network ECG patient monitoring algorithm. Comput Cardiol. 1995;22:229–232
6. Taccardi B, Punske B, Lux R, MacLeod R, Ershler P, Dustman T, et al. Useful lessons from body surface mapping. J Cardiovasc Electrophys. 1998;9(7):773–786
7. Colli Franzone P, Guerri L, Tentoni S, Viganotti C, Baruffi S, Spaggiari S, et al. A mathematical procedure for solving the inverse potential problem of electrocardiography. Analysis of the time-space accuracy from in vitro experimental data. Math Biosci. 1985;77:353–396
   • CrossRef
8. Oster H, Taccardi B, Lux R, Ershler P, Rudy Y. Noninvasive electrocardiographic imaging: reconstruction of epicardial potentials, electrograms, and isochrones and localization of single and multiple electrocardiac events. Circulation. 1997;96:1012–1024
   • MEDLINE
9. Bailey-Kellogg C, Zhao F. Qualitative spatial reasoning: extracting and reasoning with spatial aggregates. AI Mag. 2003;24(4):47–60
10. Cohn A, Hazarika S. Qualitative spatial representation and reasoning: an overview. Fundam Inf. 2001;46:1327–1350
11. Yip K, Zhao F. Spatial aggregation: theory and applications. J Artif Intell Res. 1996;5:1–26
12. Bailey-Kellogg C, Zhao F, Yip K. Spatial aggregation: language and applications. In:  Weld D,  Clancey B editor. The 13th national conference on artificial intelligence. Los Altos: Morgan Kaufmann; 1996;p. 517–522
13. Huang X, Zhao F. Relation-based aggregation: finding objects in large spatial datasets. Intell Data Anal. 2000;4:129–147
14. Yip K. Structural inferences from massive datasets. In:  Ironi L editors. Qualitative reasoning—11th international workshop, pubbl. 1036. Pavia: IAN-CNR. 1997;p. 215–220
15. Bailey-Kellogg C, Zhao F. Spatial aggregation: modelling and controlling physical fields. In:  Ironi L editors. Qualitative reasoning—11th international workshop, pubbl. 1036. Pavia: IAN-CNR. 1997;p. 13–22
16. Bailey-Kellogg C, Zhao F. Influence-based model decomposition for reasoning about spatially distributed physical systems. Artif Intell. 2001;130(2):125–166
17. Zhao F. Intelligent simulation in designing complex dynamical control systems. In:  Tzafestas SG,  Verbruggen HB editor. Artificial intelligence in industrial decision making, control, and automation. Dordrecht: Kluwer; 1995;p. 127–158
18. X. Huang, Automatic analysis of spatial data sets using visual reasoning techniques with an application to weather data analysis. PhD thesis. The Ohio State University, 2000.
19. Henriquez C. Simulating the electrical behavior of cardiac tissue using the bidomain model. Crit Rev Biomed Eng. 1993;21(1):1–77
    • MEDLINE
20. Henriquez C, Muzikant A, Smoak C. Anisotropy, fiber curvature, and bath loading effects on activation in thin and thick cardiac tissue preparations: simulations in a three-dimensional bidomain model. J Cardiovasc Electrophys. 1996;7(5):424–444
21. Roth B. How the anisotropy of the intracellular abd extracellular conductivities influences stimulation of cardiac muscle. J Math Biol. 1992;30:633–646
    • MEDLINE
    • CrossRef
22. Colli Franzone P, Guerri L, Pennacchio M. Spreading of excitation in 3D models of the anisotropic cardiac tissue. II. Effect of geometry and fiber architecture of the ventricular wall. Math Biosci. 1998;147:131–171
    • MEDLINE
    • CrossRef
23. Colli Franzone P, Guerri L, Taccardi B. A mathematical procedure for solving the inverse potential problem of electrocardiography. Analysis of the time-space accuracy from in vitro experimental data. J Cardiovasc Electrophys. 1993;4(2):144–160
24. Ironi L, Tentoni S. On the problem of adjacency relations in the spatial aggregation approach. In:  Salles P,  Bredeweg B editor. 17th international workshop on qualitative reasoning. Brasilia: Univ. of Brasilia. 2003;p. 111–118
25. Ironi L, Tentoni S. Towards automated electrocardiac map interpretation: an intelligent contouring tool based on spatial aggregation. In:  Berthold M,  Lenz H-J,  Bradley E,  Kruse R,  Borgelt C editor. Advances in intelligent data analysis V. Berlin: Springer; 2003;p. 397–417
26. Taccardi B, Lux R, Ershler P, MacLeod R, Dustman T, Ingebrigtsen N. Anatomical architecture and electrical activity of the heart. Acta Cardiol. 1997;52(2):91–105
    • MEDLINE
27. Huang X, Zhao F. Computing topological adjacency relations between iso-contours. In:  Flores JJ editors. 14th international workshop on qualitative reasoning. Morelia: Univ. Michoacana de San Nicolas de Hidalgo. 2000;p. 67–73