Hip joint centre localisation with an unscented Kalman filter-Reference-Cited by-同舟云学术

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Hip joint centre localisation with an unscented Kalman filter

Published:2013-12 Issue:12 Volume:16 Page:1319-1329
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Momi Elena De,Beretta Elisa,Ferrigno Giancarlo

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

http://www.tandfonline.com/doi/pdf/10.1080/10255842.2012.670852

Reference60 articles.

1. A Point Cluster Method for In Vivo Motion Analysis: Applied to a Study of Knee Kinematics

2. Computer-assisted hip resurfacing surgery using the Acrobot® Navigation System

3. A comparison of the accuracy of several hip center location prediction methods

4. An approach for hip joint center calculation for use in seated postures

5. An optimized protocol for hip joint centre determination using the functional method

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1. Vehicle State Estimation Based on Unscented Kalman Filtering and a Genetic-particle Swarm Algorithm;Journal of The Institution of Engineers (India): Series C;2021-01-21

2. Vehicle State Estimation Based on Unscented Kalman Filtering and a Genetic Algorithm;SAE International Journal of Commercial Vehicles;2020-09-22

3. Gaussian mixture models based 2D–3D registration of bone shapes for orthopedic surgery planning;Medical & Biological Engineering & Computing;2016-03-23

4. Determining in vivo sternoclavicular, acromioclavicular and glenohumeral joint centre locations from skin markers, CT-scans and intracortical pins: A comparison study;Medical Engineering & Physics;2016-03

5. Fluoroscopy-based tracking of femoral kinematics with statistical shape models;International Journal of Computer Assisted Radiology and Surgery;2015-09-26

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