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

Background Body surface gastric mapping (BSGM) is a new clinical tool for gastric motility diagnostics, providing high‐resolution data on gastric myoelectrical activity. Artifact contamination was a key challenge to reliable test interpretation in traditional electrogastrography. This study aimed to...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Neurogastroenterology and motility 2022-11, Vol.34 (11), p.e14421-n/a
Hauptverfasser:	Calder, Stefan, Schamberg, Gabriel, Varghese, Chris, Waite, Stephen, Sebaratnam, Gabrielle, Woodhead, Jonathan S. T., Du, Peng, Andrews, Christopher N., O'Grady, Greg, Gharibans, Armen A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms automated artifact rejection Automation Body Surface Potential Mapping Contamination electrogastrography Electromyography Gastric motility gastric myoelectrical activity high‐resolution Humans Mapping Patients Reproducibility of Results Technical Note
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!