Biomechanical modelling of the interphalangeal joints of the human hand

Download

Koray_Melih_Yatagan_Thesis.pdf

Date

2021-7-15

Author

Yatağan, Koray Melih

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

327
views

365
downloads

In this study, the development process of a 3D unconstrained model of the interphalangeal (IP) joints is presented. The model agrees with the experimental studies. It can explain the change in the axis of the IP joints, the non-linear relationship between the tendon excursion and the flexion angle, the coordination between the IP joints and the tendon forces corresponding to the flexion angle. Furthermore, some controversial topics in the literature are investigated using the model, and four theses are developed.

Subject Keywords

Biomechanics, Interphalangeal joints, Musculoskeletal model

URI

https://hdl.handle.net/11511/91596

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A multiscale model for eccentric and concentric cardiac growth through sarcomerogenesis Göktepe, Serdar; Parker, Kit; Kuhl, Ellen (2010-08-07) We present a novel computational model for maladaptive cardiac growth in which kinematic changes of the cardiac chambers are attributed to alterations in cytoskeletal architecture and in cellular morphology. We adopt the concept of finite volume growth characterized through the multiplicative decomposition of the deformation gradient into an elastic part and a growth part. The functional form of its growth tensor is correlated to sarcomerogenesis, the creation and deposition of new sarcomere units. In respo...
Investigation of the Effect of Face Regions on Local Shape Descriptor Based 3D Face Recognition İNAN, TOLGA; Halıcı, Uğur (2013-04-26) In this study, the effect of face regions on local shape descriptor based 3D face recognition was investigated. Our approach starts with calculation of the SIFT descriptors on the shape maps of the 3D faces. In the next phase, SIFT descriptors in the selected regions are concatenated to form feature vectors. Then these feature vectors are fed into linear discriminant analysis (LDA) for face recognition. In this study, faces are segmented into 47 regions and the descriptors in one or more regions are concate...
3D marker tracking for human gait analysis Küçük, Can; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2005) This thesis focuses on 3D marker tracking for human gait analysis. In KISS Gait Analysis System at METU, a subject's gait is recorded with 6 cameras while 13 reflective markers are attached at appropriate locations on his/her legs and feet. These images are processed to extract 2 dimensional (2D) coordinates of the markers in each camera. The 3 dimensional (3D) coordinates of the markers are obtained by processing the 2D coordinates of the markers with linearization and calibration algorithms. Then 3D traje...
Biomechanical effects of rapid maxillary expansion on the craniofacial skeleton, studied by the finite element method Iseri, H; Tekkaya, AE; Oztan, O; Bilgic, S (Oxford University Press (OUP), 1998-08-01) The aim of this study was to evaluate the biomechanical effect of rapid maxillary expansion (RME) on the craniofacial complex by using a three-dimensional finite element model (FEM) of the craniofacial skeleton. The construction of the three-dimensional FEM was based on computer tomography (CT) scans of the skull of a 12-year-old male subject. The CT pictures were digitized and converted to the finite element model by means of a procedure developed for the present study. The final mesh consisted of 2270 thi...
3D indirect shape retrieval based on hand interaction Irmak, Erdem Can; Sahillioğlu, Yusuf; Department of Game Technologies (2017) In this thesis, a novel 3D indirect shape analysis method is presented which successfully retrieves 3D shapes based on the hand-object interaction. In the first part of the study, the human hand information is processed and trans- ferred to the virtual environment by Leap Motion Controller. Position and rotation of the hand, the angle of the finger joints are used for this part in our method. Also, in this approach, a new type of feature, which we call inter- action point, is introduced. These interaction p...

Citation Formats

K. M. Yatağan, “Biomechanical modelling of the interphalangeal joints of the human hand,” M.S. - Master of Science, Middle East Technical University, 2021.