Integrated Relaxation Pressure Classification and Probe Positioning Failure Detection in High-Resolution Esophageal Manometry Using Machine Learning

High-resolution esophageal manometry is used for the study of esophageal motility disorders, with the help of catheters with up to 36 sensors. Color pressure topography plots are generated and analyzed and using the Chicago algorithm a final diagnosis is established. One of the main parameters in th...

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主要な著者:	Zoltan Czako, Teodora Surdea-Blaga, Gheorghe Sebestyen, Anca Hangan, Dan Lucian Dumitrascu, Liliana David, Giuseppe Chiarioni, Edoardo Savarino, Stefan Lucian Popa
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-12-01
シリーズ:	Sensors
主題:	machine learning convolutional neural network high-resolution esophageal manometry integrated relaxation pressure
オンライン･アクセス:	https://www.mdpi.com/1424-8220/22/1/253
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