Procedure for the semi-automatic detection of gastro-oesophageal reflux patterns in intraluminal impedance measurements in infants

Medical Engineering and Physics

Volumn 21, Issue 3, 1999, Pages 195-201

  Trachterna, M ^a   Wenzl, T G ^a   Silny, J ^a   Rau, G ^a   Heimann, G ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

ANFIS; Fuzzy system; Gastro oesophageal reflux; GOR; Infant; Intraluminal electrical impedance; Pattern recognition; pH monitoring

Indexed keywords

ELECTRIC IMPEDANCE MEASUREMENT; ELECTROPHYSIOLOGY; FUZZY SETS; GASTROENTEROLOGY; PATTERN RECOGNITION; PEDIATRICS; PH;

GASTRO-ESOPHAGEAL REFLUX;

BIOELECTRIC PHENOMENA;

ACIDITY; ARTICLE; CLINICAL ARTICLE; FEMALE; GASTROESOPHAGEAL REFLUX; HUMAN; IMPEDANCE; INFANT; MALE; PH MEASUREMENT; PRIORITY JOURNAL; SCORING SYSTEM; VISION;

EID: 0032796878     PISSN: 13504533     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1350-4533(99)00043-0     Document Type: Article

References (27)

1. Hyman P.E. Gastroesophageal reflux: one reason why baby won't eat. J. Pediatr. 125:1994;S103-S109.
2. Jolley S. Current surgical considerations in gastroesophageal reflux disease in infancy and childhood. Sur. Clin. North Am. 72(6):1992;1365-1391.
3. Vandenplas Y., Goyvaerts H., Helven R., Sacre L. Gastroesophageal reflux, as measured by 24-hour pH monitoring, in 509 healthy infants screened for risk of sudden infant death syndrome. Pediatrics. 88:1991;834-840.
4. Vandenplas Y. Oesophageal pH monitoring for gastro-oesophageal reflux in infants and children. 1992;John Wiley and Sons, Chichester.
5. Kahn A., Rebuffat E., Franco P., N'Duwimana M., Blum D. Apparent life-threatening events and apnea of infancy. Beckerman R., Brouilette R. Respiratory control in infants and children. 1992;178-189 William and Wilkins, Baltimore.
6. Jolley S., Halpern L., Tunell W., Johnson D., Sterling C. The risk of sudden infant death from gastroesophegeal reflux. J. Pediatr. Surg. 16:1991;691-696.
7. Orenstein S.R., Orenstein D.M. Gastroesophageal reflux and respiratory disease in children. J. Pediatr. 112:1988;847-858.
8. Herbst J.J. Gastroesophageal reflux in the 'near miss' sudden infant death syndrome. J. Pediatr. 92:1978;73-75.
9. Da Dalt L., Mazzoleni S., Montini G., Donzelli F., Zacchello F. Diagnostic accuracy of pH monitoring in gastro-esophageal reflux. Arch. Dis. Child. 64:1989;1421-1426.
10. Society statement. A standardized protocol for the methodology of esophageal pH monitoring and interpretation of the data for the diagnosis of gastroesophageal reflux. J. Pediatr. Gastroenterol. Nutr. 14:1992;467-471.
11. Orenstein S.R. Controversies in pediatric gastroesophageal reflux. J. Pediatr. Gastroenterol. Nutr. 14:1992;338-348.
12. Skopnik H., Silny J., Heiber O., Schulz J., Rau G., Heimann G. Gastroesophageal reflux in infants: Evaluation of a new intraluminal impedance technique. J. Pediatr. Gastroenterol. Nutr. 23:1996;591-598.
13. Silny J. Intraluminal multiple electric impedance procedure for measurement of gastrointestinal motility. J. Gastrointest. Mot. 31:1991;39-44.
14. Silny J., Knigge K.P., Faß J., Rau G., Matern S., Schumpelick V. Verification of the intraluminal multiple electrical impedance measurement for the recording of gastrointestinal motility. J. Gastrointest. Mot. 5:1993;107-122.
15. Nguyen H.N., Silny J., Matern S. Multiple intraluminal electrical impedancometry for recording of upper GI motility. Am. J. Gastroenterol. 94(2):1999;1-12.
16. Nguyen H.N., Silny J., Albers D., Roeb E., Gartung C., Rau G., Matern S. Dynamics of esophageal bolus transport in healthy subjects studied using multiple intraluminal impedancometry. Am. J. Physiol. 273(Gastrointest Liver Physiol 36):1997;G958-G964.
17. Sifrim D., Silny J., Holloway R.H., Janssens J.J. Patterns of gas and liquid reflux during transient lower oesophageal sphincter relaxation: a study using intraluminal impedance. Gut. 44:1999;47-54.
18. Jang J.S.R. ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Systems Man Cybern. 23(3):1993;665-685.
19. Jang J.S.R., Sun C.T.S. Neuro-fuzzy modeling and control. Proc. IEEE. 83(3):1995;378-406.
20. Zadeh L.A. Fuzzy sets. Information and Control. 8:1965;338-352.
21. Sugeno M., Kang G.T. Structure identification of fuzzy model. Fuzzy Sets and Systems. 28:1988;15-33.
22. Lin C.T., Lee C.S.G. Neural-network-based fuzzy logic control and decision system. IEEE Trans. Computers. 40(12):1991;1320-1336.
23. Wang LX, Mendel JM. Back-propagation fuzzy systems as nonlinear dynamic system identifiers. In: Proceedings of the IEEE International Conference on Fuzzy Systems, San Diego, 1992:1409-18.
24. Hush D.R., Horne B.G. Progress in supervised neural networks. IEEE Signal Proc. Mag. 1:1993;8-39.
25. Sun CT, Jang JSR. A neuro-fuzzy classifier and its applications. In: Proceedings of the 2nd IEEE International Conference on Fuzzy Systems, San Francisco 1993:94-8.
26. Vandenplas Y., Lepoudre R., Helven R. Dependability of esophageal pH monitoring data in infants on cut-off limits: the oscillatory index. J. Pediatr. Gastroenterol. Nutr. 11:1990;304-309.
27. Vandenplas Y., Fanckx-Goosens A., Pipeleers-Marichal M., Derde M.P., Sacre L. 'Area under pH 4': advantages of a new parameter in the interpretation of esophageal pH monitoring data in infants. J. Pediatr. Gastroenterol. Nutr. 8:1989;31-36.