Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU145289" target="_blank" >RIV/00216305:26210/22:PU145289 - isvavai.cz</a>
Result on the web
<a href="https://mendel-journal.org" target="_blank" >https://mendel-journal.org</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.13164/mendel.2022.1.032" target="_blank" >10.13164/mendel.2022.1.032</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm
Original language description
Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), and any improvement in the work of medical staff is welcome. In this paper, an experimental robotic platform was designed and implemented whose main function is the swabbing samples from the nasal vestibule. The robotic platform represents a complete integration of software and hardware, where the operator has access to a web-based application and can control a number of functions. The increased safety and collaborative approach cannot be overlooked. The result of this work is a functional prototype of the robotic platform that can be further extended, for example, by using alternative technologies, extending patient safety, or clinical tests and studies. Code is available at https://github.com/ Steigner/ Robo_ Medicinae_ I.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
9
Pages from-to
32-40
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85134616540