Geometrical analysis for assistive medical device design

Taeseung D. Yoo; Eunyoung Kim; Daniel K. Bogen; Junghyun Han

doi:10.1007/978-3-540-30497-5_141

Geometrical analysis for assistive medical device design

Taeseung D. Yoo^*
, Eunyoung Kim
, Daniel K. Bogen
, Junghyun Han

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

In the computer graphics field, mesh simplification, multi-resolution analysis and surface parameterization techniques have been widely investigated. This paper presents innovative applications of those techniques to the biomechanical analysis of thin elastic braces. The braces are represented in polygonal meshes, and mesh simplification and multi-resolution analysis enable fast geometric computation and processing. The multi-resolution brace mesh is parameterized for strain energy calculation. The experiment results prove that 3D geometrical analysis works quite well for assistive medical device design.

Original language	English
Pages (from-to)	916-921
Number of pages	6
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3314
DOIs	https://doi.org/10.1007/978-3-540-30497-5_141
Publication status	Published - 2004

Bibliographical note

Funding Information:
This work is supported by the MOST 21st Century Frontier Program: Intelligent Robot Project.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-30497-5_141

Cite this

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title = "Geometrical analysis for assistive medical device design",

abstract = "In the computer graphics field, mesh simplification, multi-resolution analysis and surface parameterization techniques have been widely investigated. This paper presents innovative applications of those techniques to the biomechanical analysis of thin elastic braces. The braces are represented in polygonal meshes, and mesh simplification and multi-resolution analysis enable fast geometric computation and processing. The multi-resolution brace mesh is parameterized for strain energy calculation. The experiment results prove that 3D geometrical analysis works quite well for assistive medical device design.",

author = "Yoo, \{Taeseung D.\} and Eunyoung Kim and Bogen, \{Daniel K.\} and Junghyun Han",

note = "Funding Information: This work is supported by the MOST 21st Century Frontier Program: Intelligent Robot Project.",

year = "2004",

doi = "10.1007/978-3-540-30497-5\_141",

language = "English",

volume = "3314",

pages = "916--921",

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AU - Yoo, Taeseung D.

AU - Kim, Eunyoung

AU - Bogen, Daniel K.

AU - Han, Junghyun

N1 - Funding Information: This work is supported by the MOST 21st Century Frontier Program: Intelligent Robot Project.

PY - 2004

Y1 - 2004

N2 - In the computer graphics field, mesh simplification, multi-resolution analysis and surface parameterization techniques have been widely investigated. This paper presents innovative applications of those techniques to the biomechanical analysis of thin elastic braces. The braces are represented in polygonal meshes, and mesh simplification and multi-resolution analysis enable fast geometric computation and processing. The multi-resolution brace mesh is parameterized for strain energy calculation. The experiment results prove that 3D geometrical analysis works quite well for assistive medical device design.

AB - In the computer graphics field, mesh simplification, multi-resolution analysis and surface parameterization techniques have been widely investigated. This paper presents innovative applications of those techniques to the biomechanical analysis of thin elastic braces. The braces are represented in polygonal meshes, and mesh simplification and multi-resolution analysis enable fast geometric computation and processing. The multi-resolution brace mesh is parameterized for strain energy calculation. The experiment results prove that 3D geometrical analysis works quite well for assistive medical device design.

UR - https://www.scopus.com/pages/publications/35048853640

U2 - 10.1007/978-3-540-30497-5_141

DO - 10.1007/978-3-540-30497-5_141

M3 - Article

AN - SCOPUS:35048853640

SN - 0302-9743

VL - 3314

SP - 916

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Geometrical analysis for assistive medical device design

Abstract

Bibliographical note

ASJC Scopus subject areas

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