An automated artifact detection and rejection system for body surface gastric mapping.
Neurogastroenterol Motil
; 34(11): e14421, 2022 11.
Article
em En
| MEDLINE
| ID: mdl-35699347
ABSTRACT
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 introduce and validate an automated artifact detection and rejection system for clinical BSGM applications.METHODS:
Ten patients with chronic gastric symptoms generated a variety of artifacts according to a standardized protocol (176 recordings) using a commercial BSGM system (Alimetry, New Zealand). An automated artifact detection and rejection algorithm was developed, and its performance was compared with a reference standard comprising consensus labeling by 3 analysis experts, followed by comparison with 6 clinicians (3 untrained and 3 trained in artifact detection). Inter-rater reliability was calculated using Fleiss' kappa. KEYRESULTS:
Inter-rater reliability was 0.84 (95% CI0.77-0.90) among experts, 0.76 (95% CI0.68-0.83) among untrained clinicians, and 0.71 (95% CI0.62-0.79) among trained clinicians. The sensitivity and specificity of the algorithm against experts was 96% (95% CI91%-100%) and 95% (95% CI90%-99%), respectively, vs 77% (95% CI68%-85%) and 99% (95% CI96%-100%) against untrained clinicians, and 97% (95% CI92%-100%) and 88% (95% CI82%-94%) against trained clinicians. CONCLUSIONS & INFERENCES 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.Palavras-chave
Texto completo:
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Artefatos
Tipo de estudo:
Diagnostic_studies
/
Guideline
Limite:
Humans
Idioma:
En
Revista:
Neurogastroenterol Motil
Assunto da revista:
GASTROENTEROLOGIA
/
NEUROLOGIA
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Nova Zelândia