Method for Classifying Spectrograms of Acoustic Signals from Swallowing of Individuals with and without Dysphagia Using a Convolutional Neural Network.
- DOI
- 10.1007/s00455-026-10983-y
- Published
- 2026 Sep 10
- Container
- Dysphagia
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1007/s00455-026-10983-y,
title = {Method for Classifying Spectrograms of Acoustic Signals from Swallowing of Individuals with and without Dysphagia Using a Convolutional Neural Network.},
author = {Pessoa da Silva G and Soares Rech R and Becker T and Diniz Lopes Becker C},
year = {2026},
journal = {Dysphagia},
doi = {10.1007/s00455-026-10983-y},
url = {https://doi.org/10.1007/s00455-026-10983-y}
}RIS
TY - JOUR TI - Method for Classifying Spectrograms of Acoustic Signals from Swallowing of Individuals with and without Dysphagia Using a Convolutional Neural Network. AU - Pessoa da Silva G AU - Soares Rech R AU - Becker T AU - Diniz Lopes Becker C PY - 2026 JO - Dysphagia DO - 10.1007/s00455-026-10983-y UR - https://doi.org/10.1007/s00455-026-10983-y ER -
APA
G, P. D. S., R, S. R., T, B., & C, D. L. B. (2026). Method for Classifying Spectrograms of Acoustic Signals from Swallowing of Individuals with and without Dysphagia Using a Convolutional Neural Network.. Dysphagia. https://doi.org/10.1007/s00455-026-10983-y
Source records
- pubmed · retrieved 2026-09-25T15:00:23.975Z