Accuracy and Repeatability of Limb Scans Obtained on the Semi-Automatic Measuring Station

• Autorzy: Wichniarek Radosław , Górski Filip , Kuczko Wiesław , Żukowska Magdalena

Identyfikatory

DOI

10.12913/22998624/127011

• Języki publikacji: EN

Abstrakty

EN

Designing individualized medical devices requires the collection of anthropometric data from the patient. This can be done by using the 3D scanning process. Despite many advantages, it has significant drawbacks, limiting the suitability of its use for many types of medical devices. This paper presents the design of measuring station that allows increasing the quality of the anthropometric data obtained in the scanning process of human limbs. The accuracy and repeatability of the data obtained on the station was presented and compared to reference scans. Moreover, owing to the automation of certain activities in the scanning process, operating the device requires the operator to have much lower competencies and workload.

Słowa kluczowe

EN

medical device; limb scanning; semi-automatic scanning; anthropometric data

PL

urządzenie medyczne; skanowanie kończyn; skanowanie półautomatyczne; dane antropometryczne

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2020
• Tom: Vol. 14, no 4
• Strony: 220--228
• Opis fizyczny: Bibliogr. 21 poz., fig., tab.

Twórcy

autor

Wichniarek Radosław

• Poznan University of Technology, Chair of Production Engineering and Management, Poznan, Poland

autor

Górski Filip

• Poznan University of Technology, Chair of Production Engineering and Management, Poznan, Poland

autor

Kuczko Wiesław

• Poznan University of Technology, Chair of Production Engineering and Management, Poznan, Poland

autor

Żukowska Magdalena

• Poznan University of Technology, Chair of Production Engineering and Management, Poznan, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).