An automated artifact detection and rejection system for body surface gastric mapping.

Stefan CalderGabriel SchambergChris VargheseStephen WaiteGabrielle SebaratnamJonathan S T WoodheadPeng DuChristopher N AndrewsGreg O'GradyArmen A Gharibans

Published in: Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society (2022)

An automated artifact detection and rejection algorithm was developed showing >95% sensitivity and specificity vs expert markers. This algorithm overcomes an important challenge in the clinical translation of BSGM and is now being routinely implemented in patient test interpretations.

Keyphrases

machine learning
loop mediated isothermal amplification
deep learning
real time pcr
label free
high resolution
case report
image quality
magnetic resonance imaging
computed tomography
dual energy
clinical practice
magnetic resonance
mass spectrometry