Estimation of Dynamic Impedance of Human Wrist Joint in F/E with a Novel Instrument

Author(s):  
Xiang Gao ◽  
Gang Xu ◽  
Muye Pang ◽  
Biwei Tang ◽  
Kui Xiang
2015 ◽  
Vol 04 (S 02) ◽  
Author(s):  
M. Rizzo ◽  
A. Hooke ◽  
K. An ◽  
W. Cooney

Author(s):  
Karim Mowla ◽  
Elham Rajaee M. D. ◽  
Mehrdad Dargahi-MalAmir M. D. ◽  
Neda Yousefinezhad ◽  
Maryam Jamali Hondori

Background: Rheumatoid arthritis is a systemic multifactor disease that presented with symmetrical polyarthritis more preferably in small wrist joint and ankle. Synovial pannus cause destruction and deformities in joints. The main reason of this disease in unknown, but past researchesshowed that genetically factor play important role beside environmental factors in susceptibility to this entity. Method:100 patients with rheumatoid arthritis diagnosed upon ACR 2010 criteria enrolled study. 92 healthy patents also enrolled DNA studying. of both group was extracted through DNA extraction kits by blood sampling. HLA-DRB1 typing was done by PCR-SSP method. Results: There were no significant differences in HLADRB1 *04, HLADRB1*08 and HLADRB1*11 alleles presentation between patients and healthy controls. Only there were statically significant correlation between HLA-DRB1*08 and Rheumatoid factor positive patents. (P = 0.025).


Radiology ◽  
1999 ◽  
Vol 212 (2) ◽  
pp. 537-540 ◽  
Author(s):  
Khaled I. El-Noueam ◽  
Mark E. Schweitzer ◽  
Roberto Blasbalg ◽  
Aly A. Farahat ◽  
Randall W. Culp ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ryoya Shiode ◽  
Mototaka Kabashima ◽  
Yuta Hiasa ◽  
Kunihiro Oka ◽  
Tsuyoshi Murase ◽  
...  

AbstractThe purpose of the study was to develop a deep learning network for estimating and constructing highly accurate 3D bone models directly from actual X-ray images and to verify its accuracy. The data used were 173 computed tomography (CT) images and 105 actual X-ray images of a healthy wrist joint. To compensate for the small size of the dataset, digitally reconstructed radiography (DRR) images generated from CT were used as training data instead of actual X-ray images. The DRR-like images were generated from actual X-ray images in the test and adapted to the network, and high-accuracy estimation of a 3D bone model from a small data set was possible. The 3D shape of the radius and ulna were estimated from actual X-ray images with accuracies of 1.05 ± 0.36 and 1.45 ± 0.41 mm, respectively.


2019 ◽  
Vol 23 (1) ◽  
Author(s):  
Ian T. Gatt ◽  
Tom Allen ◽  
Jon Wheat

AbstractThe hand-wrist region is reported as the most common injury site in boxing. Boxers are at risk due to the amount of wrist motions when impacting training equipment or their opponents, yet we know relatively little about these motions. This paper describes a new method for quantifying wrist motion in boxing using an electromagnetic tracking system. Surrogate testing procedure utilising a polyamide hand and forearm shape, and in vivo testing procedure utilising 29 elite boxers, were used to assess the accuracy and repeatability of the system. 2D kinematic analysis was used to calculate wrist angles using photogrammetry, whilst the data from the electromagnetic tracking system was processed with visual 3D software. The electromagnetic tracking system agreed with the video-based system (paired t tests) in both the surrogate (< 0.2°) and quasi-static testing (< 6°). Both systems showed a good intraclass coefficient of reliability (ICCs > 0.9). In the punch testing, for both repeated jab and hook shots, the electromagnetic tracking system showed good reliability (ICCs > 0.8) and substantial reliability (ICCs > 0.6) for flexion–extension and radial-ulnar deviation angles, respectively. The results indicate that wrist kinematics during punching activities can be measured using an electromagnetic tracking system.


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