A spiking neural network for personalised modelling of electrogastrography (EGG)

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Abstract

EGG records the resultant body surface potential of gastric slow waves (electrical activity); while slow waves regulate contractions of gastric muscles, it is the electrical activity we are recording, not movement (like ECG records the cardiac electrical activity, but not the contractions of the heart, even the two are essentially related).

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Breen, V., Kasabov, N., Du, P., & Calder, S. (2016). A spiking neural network for personalised modelling of electrogastrography (EGG). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9896 LNAI, pp. 18–25). Springer Verlag. https://doi.org/10.1007/978-3-319-46182-3_2

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