Figure 2 - uploaded by David Heath
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PCF Sigma TKR showing Femoral (Upper) and Tibial (Lower) replacement surfaces and the meniscal bearing face (Middle) (adapted from McEwen, et al., 2005)
Source publication
A comprehensive total design methodology has been used to design and validate a six axis loadcell and a rotational gear mechanism. The goal is to more accurately measure bearing loads in the Oxford Unicompartmental Bearing allowing research to progress in this area.
Minimum error on the deep neural network prediction was 6% while on the direct str...
Contexts in source publication
Context 1
... treatment has met with relatively high joint survivability rates and allows patients to regain a semblance of mobility after the surgical damage has healed. This joint is shown in Figure 2. While TKR has significant advantages when compared to no treatment, in the case of unicompartmental damage the question arises as to whether fully replacing the joint is necessary. ...
Context 2
... graph shown in Figure 20 shows microstrain against applied Z load values for each arm. The load applied was from the Orthoload (2020) as they have the largest strain readings so minimise the prediction error when taking into account strain gauge error. ...
Context 3
... method saves a considerable amount of time and computational resources. Figure 22 shows increasing accuracy for increasing epoch length leading to a minimum error of 6% with a standard deviation of 17%, a considerable improvement on the linear equation based prediction. ...
Context 4
... neta resulted in an excessive training time to achieve comparable accuracy. This relationship between neta and prediction accuracy is shown in Figure 23. Finally the effect on Z load prediction accuracy of multiple loading cases was investigated. ...
Context 5
... the effect on Z load prediction accuracy of multiple loading cases was investigated. This graph is shown in Figure 24. The prediction accuracy of the Z load diverges rapidly as the number of predicted loads increases and shows the primary limitation of this load prediction technique. ...
Context 6
... treatment has met with relatively high joint survivability rates and allows patients to regain a semblance of mobility after the surgical damage has healed. This joint is shown in Figure 2. While TKR has significant advantages when compared to no treatment, in the case of unicompartmental damage the question arises as to whether fully replacing the joint is necessary. ...
Context 7
... graph shown in Figure 20 shows microstrain against applied Z load values for each arm. The load applied was from the Orthoload (2020) as they have the largest strain readings so minimise the prediction error when taking into account strain gauge error. ...
Context 8
... method saves a considerable amount of time and computational resources. Figure 22 shows increasing accuracy for increasing epoch length leading to a minimum error of 6% with a standard deviation of 17%, a considerable improvement on the linear equation based prediction. ...
Context 9
... neta resulted in an excessive training time to achieve comparable accuracy. This relationship between neta and prediction accuracy is shown in Figure 23. Finally the effect on Z load prediction accuracy of multiple loading cases was investigated. ...
Context 10
... the effect on Z load prediction accuracy of multiple loading cases was investigated. This graph is shown in Figure 24. The prediction accuracy of the Z load diverges rapidly as the number of predicted loads increases and shows the primary limitation of this load prediction technique. ...
Context 11
... treatment has met with relatively high joint survivability rates and allows patients to regain a semblance of mobility after the surgical damage has healed. This joint is shown in Figure 2. While TKR has significant advantages when compared to no treatment, in the case of unicompartmental damage the question arises as to whether fully replacing the joint is necessary. ...
Context 12
... graph shown in Figure 20 shows microstrain against applied Z load values for each arm. The load applied was from the Orthoload (2020) as they have the largest strain readings so minimise the prediction error when taking into account strain gauge error. ...
Context 13
... method saves a considerable amount of time and computational resources. Figure 22 shows increasing accuracy for increasing epoch length leading to a minimum error of 6% with a standard deviation of 17%, a considerable improvement on the linear equation based prediction. ...
Context 14
... neta resulted in an excessive training time to achieve comparable accuracy. This relationship between neta and prediction accuracy is shown in Figure 23. Finally the effect on Z load prediction accuracy of multiple loading cases was investigated. ...
Context 15
... the effect on Z load prediction accuracy of multiple loading cases was investigated. This graph is shown in Figure 24. The prediction accuracy of the Z load diverges rapidly as the number of predicted loads increases and shows the primary limitation of this load prediction technique. ...
