Self-adapting Classification System for Swallow Intention Detection in Dysphagia Therapy

Riebold Benjamin, Nahrstaedt Holger, Schauer Thomas, Seidl Rainer O.

Open source

DOI: 10.1515/cdbme-2019-0013
Published: 9
Container: Current Directions in Biomedical Engineering
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1515/cdbme-2019-0013,
  title = {Self-adapting Classification System for Swallow Intention Detection in Dysphagia Therapy},
  author = {Riebold Benjamin and Nahrstaedt Holger and Schauer Thomas and Seidl Rainer O.},
  year = {2019},
  journal = {Current Directions in Biomedical Engineering},
  doi = {10.1515/cdbme-2019-0013},
  url = {https://doi.org/10.1515/cdbme-2019-0013}
}

RIS

TY  - JOUR
TI  - Self-adapting Classification System for Swallow Intention Detection in Dysphagia Therapy
AU  - Riebold Benjamin
AU  - Nahrstaedt Holger
AU  - Schauer Thomas
AU  - Seidl Rainer O.
PY  - 2019
JO  - Current Directions in Biomedical Engineering
DO  - 10.1515/cdbme-2019-0013
UR  - https://doi.org/10.1515/cdbme-2019-0013
ER  -

APA

Benjamin, R., Holger, N., Thomas, S., & O., S. R. (2019). Self-adapting Classification System for Swallow Intention Detection in Dysphagia Therapy. Current Directions in Biomedical Engineering. https://doi.org/10.1515/cdbme-2019-0013

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doaj · retrieved 2026-09-27T00:19:53.724Z