Titlebook: Wear Prediction on Total Ankle Replacement; Effect of Design Par Amir Putra Bin Md Saad,Ardiyansyah Syahrom,Mohamme Book 2016 The Author(s)

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Amir Putra Bin Md Saad,Ardiyansyah Syahrom,Muhamad Noor Harun,Mohammed Rafiq Abdul Kadirc substrate. To reduce the acquisition time and still provide maps with high spatial resolution, we propose a novel deep learning method based on graph convolutional neural networks to estimate the depolarization time in the myocardium, given sparse catheter data on the left ventricular endocardium,

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Amir Putra Bin Md Saad,Ardiyansyah Syahrom,Muhamad Noor Harun,Mohammed Rafiq Abdul Kadirorpus usually designed for a specific purpose. In this paper, we consider that the voice creation is realized through a corpus design step under reduction constraints. During this stage, a recording script is crafted to be optimal for the target TTS engine and its purpose. In this paper, we investig

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Contact Pressure of Total Ankle Replacement (TAR),nce phase of gait cycle was developed to simulate the static response behaviour and extract the data in determining the contact pressure on contact surface of the bearing and talar components. Sliding distance was determined by predominate motion of plantar/dorsi flexion of ankle stance phase gait c

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Conclusion,-Oxford (BOX) TAR was analysed with loading and boundary condition applied for the stance phase of ankle gait cycle. Result shows that the linear wear depth, h and volumetric wears, V were within the wear range of BOX TAR model reported in the literature. Therefore, the computational method using fi

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Contact Pressure of Total Ankle Replacement (TAR),nce phase of gait cycle was developed to simulate the static response behaviour and extract the data in determining the contact pressure on contact surface of the bearing and talar components. Sliding distance was determined by predominate motion of plantar/dorsi flexion of ankle stance phase gait c