DocumentCode :
32455
Title :
Accurate Measurement of Concurrent Flexion–Extension and Internal–External Rotations in Smart Knee Prostheses
Author :
Arami, Arash ; Vallet, Axelle ; Aminian, Kamiar
Author_Institution :
Lab. of Movement Anal. & Meas., Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
Volume :
60
Issue :
9
fYear :
2013
fDate :
Sept. 2013
Firstpage :
2504
Lastpage :
2510
Abstract :
In this paper, we present a magnetic measurement system for integration into smart knee prostheses to accurately measure the combination of two knee rotations; namely flexion-extension (FE) and internal-external (IE) rotations. This measurement system consists of two permanent magnets inserted into the femoral and tibial parts of the prosthesis and a configuration of anisotropic magneto-resistive sensors placed in its polyethylene part. The sensor configuration was designed according to the sensitivity analysis. Several angle estimators were defined to obtain accurate angle estimations. These estimators ranged from different linear regression models to artificial neural networks. The estimators were trained and tested on several dynamic measurements of rotations of the prosthesis parts in a mechanical knee simulator also monitored using a stereophotogrammetry motion capture system. Considering the best estimators, the errors (mean ± SD) were 0.0° ± 0.9° and 0.2° ± 1.1° for IE and FE angle estimations, respectively. The imposed abduction-adduction (AA) rotations effect was investigated on the estimators in two cases: when the estimators were trained on data without AA (Case 1) and with AA (Case 2). The internal-external angle estimators showed high robustness to the imposed AA. The recorded errors for the best flexion-extension estimator were 0.9° ± 2.7° for Case 1 and 0.3° ± 1.7° for Case 2. The proposed system has thus demonstrated its ability to accurately estimate concurrent flexion-extension and internal-external rotations.
Keywords :
biomechanics; biomedical measurement; bone; magnetoresistive devices; neural nets; prosthetics; regression analysis; sensitivity analysis; abduction-adduction rotations; anisotropic magneto-resistive sensors; artificial neural networks; concurrent flexion-extension rotation measurement; femur; internal-external rotation measurement; linear regression models; mechanical knee simulator; permanent magnets; polyethylene; sensitivity analysis; smart knee prostheses; stereophotogrammetry motion capture system; tibia; Estimation; Iron; Magnetic sensors; Magnetic separation; Prosthetics; Rotation measurement; Anisotropic magneto-resistive (AMR) sensors; input selection; instrumented prosthesis; knee rotations; Humans; Knee Joint; Knee Prosthesis; Linear Models; Magnets; Models, Anatomic; Models, Theoretical; Neural Networks (Computer); Photogrammetry; Polyethylene; Prosthesis Design; Range of Motion, Articular; Reproducibility of Results;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2013.2259489
Filename :
6507286
Link To Document :
بازگشت