Towards microprocessor-based control of droplet parameters for endoscopic laryngeal adductor reflex triggering

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Friedemann Fast, J. et al.: Towards microprocessor-based control of droplet parameters for endoscopic laryngeal adductor reflex triggering. In: Current Directions in Biomedical Engineering 3 (2017), S. 239-243. DOI: https://doi.org/10.1515/cdbme-2017-0050

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4022

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Sum total of downloads: 208




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Abstract: 
The so-called Laryngeal Adductor Reflex (LAR) protects the respiratory tract from particle intrusion by quickly approximating the vocal folds to close the free glottal space. An impaired LAR may be associated with an increased risk of aspiration and other adverse conditions. To evaluate the integrity of the LAR, we recently developed an endoscopic prototype for LAR triggering by shooting accelerated droplets onto a predefined laryngeal target region. We now modified the existing droplet-dispensing system to adapt the fluid system pressure as well as the valve opening time to user-chosen values autonomously. This has been accomplished using a microcontroller board connected to a pressure sensor and a mechatronic syringe pump. For performance validation, we designed a measurement setup capable of tracking the droplet along a vertical trajectory. In addition to the experimental setup, the influence of parameters such as system pressure and valve opening time on the micro-droplet formation is presented. Further development will enable the physician to adjust the droplet momentum by setting a single input value on the microcontroller-based setup, thus further increasing usability of the diagnostic device.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Maschinenbau

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 130 62.50%
2 image of flag of United States United States 42 20.19%
3 image of flag of India India 4 1.92%
4 image of flag of France France 4 1.92%
5 image of flag of China China 4 1.92%
6 image of flag of Czech Republic Czech Republic 3 1.44%
7 image of flag of Israel Israel 2 0.96%
8 image of flag of Indonesia Indonesia 2 0.96%
9 image of flag of Ghana Ghana 2 0.96%
10 image of flag of Canada Canada 2 0.96%
    other countries 13 6.25%

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