The Experts below are selected from a list of 7659 Experts worldwide ranked by ideXlab platform
Sergio Gutierrez - One of the best experts on this subject based on the ideXlab platform.
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biomechanical comparison of component position and Hardware Failure in the reverse shoulder prosthesis
Journal of Shoulder and Elbow Surgery, 2007Co-Authors: Sergio Gutierrez, Michael R Greiwe, Mark A Frankle, Steven SiegalAbstract:There has been renewed interest in reverse shoulder arthroplasty for the treatment of glenohumeral arthritis with concomitant rotator cuff deficiency. Failure of the prosthesis at the glenoid attachment site remains a concern. The purpose of this study was to examine glenoid component stability with regard to the angle of implantation. This investigation entailed a biomechanical analysis to evaluate forces and micromotion in glenoid components attached to 12 polyurethane blocks at −15°, 0°, and +15° of superior and inferior tilt. The 15° inferior tilt had the most uniform compressive forces and the least amount of tensile forces and micromotion when compared with the 0° and 15° superiorly tilted baseplate. Our results suggest that implantation with an inferior tilt will reduce the incidence of mechanical Failure of the glenoid component in a reverse shoulder prosthesis.
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Biomechanical comparison of component position and Hardware Failure in the reverse shoulder prosthesis.
Journal of shoulder and elbow surgery, 2006Co-Authors: Sergio Gutierrez, Mark A Frankle, R Michael Greiwe, Steven SiegalAbstract:There has been renewed interest in reverse shoulder arthroplasty for the treatment of glenohumeral arthritis with concomitant rotator cuff deficiency. Failure of the prosthesis at the glenoid attachment site remains a concern. The purpose of this study was to examine glenoid component stability with regard to the angle of implantation. This investigation entailed a biomechanical analysis to evaluate forces and micromotion in glenoid components attached to 12 polyurethane blocks at -15 degrees, 0 degrees, and +15 degrees of superior and inferior tilt. The 15 degrees inferior tilt had the most uniform compressive forces and the least amount of tensile forces and micromotion when compared with the 0 degrees and 15 degrees superiorly tilted baseplate. Our results suggest that implantation with an inferior tilt will reduce the incidence of mechanical Failure of the glenoid component in a reverse shoulder prosthesis.
Steven Siegal - One of the best experts on this subject based on the ideXlab platform.
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biomechanical comparison of component position and Hardware Failure in the reverse shoulder prosthesis
Journal of Shoulder and Elbow Surgery, 2007Co-Authors: Sergio Gutierrez, Michael R Greiwe, Mark A Frankle, Steven SiegalAbstract:There has been renewed interest in reverse shoulder arthroplasty for the treatment of glenohumeral arthritis with concomitant rotator cuff deficiency. Failure of the prosthesis at the glenoid attachment site remains a concern. The purpose of this study was to examine glenoid component stability with regard to the angle of implantation. This investigation entailed a biomechanical analysis to evaluate forces and micromotion in glenoid components attached to 12 polyurethane blocks at −15°, 0°, and +15° of superior and inferior tilt. The 15° inferior tilt had the most uniform compressive forces and the least amount of tensile forces and micromotion when compared with the 0° and 15° superiorly tilted baseplate. Our results suggest that implantation with an inferior tilt will reduce the incidence of mechanical Failure of the glenoid component in a reverse shoulder prosthesis.
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Biomechanical comparison of component position and Hardware Failure in the reverse shoulder prosthesis.
Journal of shoulder and elbow surgery, 2006Co-Authors: Sergio Gutierrez, Mark A Frankle, R Michael Greiwe, Steven SiegalAbstract:There has been renewed interest in reverse shoulder arthroplasty for the treatment of glenohumeral arthritis with concomitant rotator cuff deficiency. Failure of the prosthesis at the glenoid attachment site remains a concern. The purpose of this study was to examine glenoid component stability with regard to the angle of implantation. This investigation entailed a biomechanical analysis to evaluate forces and micromotion in glenoid components attached to 12 polyurethane blocks at -15 degrees, 0 degrees, and +15 degrees of superior and inferior tilt. The 15 degrees inferior tilt had the most uniform compressive forces and the least amount of tensile forces and micromotion when compared with the 0 degrees and 15 degrees superiorly tilted baseplate. Our results suggest that implantation with an inferior tilt will reduce the incidence of mechanical Failure of the glenoid component in a reverse shoulder prosthesis.
Kelly D. Foote - One of the best experts on this subject based on the ideXlab platform.
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Prevalence of Twiddler’s Syndrome as a Cause of Deep Brain Stimulation Hardware Failure
Stereotactic and Functional Neurosurgery, 2010Co-Authors: Adam P. Burdick, Michael S. Okun, Herbert E. Ward, Frank J. Bova, Charles E. Jacobson, Dawn Bowers, Pamela Zeilman, Kelly D. FooteAbstract:We reviewed our deep brain stimulation patient database to describe Hardware complications which resulted from implantable pulse generator mobility, a phenomenon referred to as twiddler’s syndrome. A
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prevalence of twiddler s syndrome as a cause of deep brain stimulation Hardware Failure
Stereotactic and Functional Neurosurgery, 2010Co-Authors: Adam P. Burdick, Michael S. Okun, Herbert E. Ward, Frank J. Bova, Charles E. Jacobson, Dawn Bowers, Pamela Zeilman, Kelly D. FooteAbstract:We reviewed our deep brain stimulation patient database to describe Hardware complications which resulted from implantable pulse generator mobility, a phenomenon referred to as twiddler’s syndrome. A
Li Jiang - One of the best experts on this subject based on the ideXlab platform.
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system level Hardware Failure prediction using deep learning
Design Automation Conference, 2019Co-Authors: Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Xiaoyao Liang, Li JiangAbstract:Disk and memory faults are the leading causes of server breakdown. A proactive solution is to predict such Hardware Failure at the runtime and then isolate the Hardware at risk and backup the data. However, the current model-based predictors are incapable of using the discrete time-series data, such as the values of device attributes, which conveys high-level information of the device behavior. In this paper, we propose a novel deep-learning based prediction scheme for system-level Hardware Failure prediction. We normalize the distribution of samples' attributes from different vendors to make use of diverse training sets. We propose a temporal Convolution Neural Network based model that is insensitive to the noise in the time dimension. Finally, we design a loss function to train the model with extremely imbalanced samples effectively. Experimental results from an open S.M.A.R.T data set and an industrial data set show the effectiveness of the proposed scheme.
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DAC - System-level Hardware Failure prediction using deep learning
Proceedings of the 56th Annual Design Automation Conference 2019, 2019Co-Authors: Krishnendu Chakrabarty, Ruirui Huang, Yiquan Chen, Bing Zhao, Xiaoyao Liang, Li JiangAbstract:Disk and memory faults are the leading causes of server breakdown. A proactive solution is to predict such Hardware Failure at the runtime and then isolate the Hardware at risk and backup the data. However, the current model-based predictors are incapable of using the discrete time-series data, such as the values of device attributes, which conveys high-level information of the device behavior. In this paper, we propose a novel deep-learning based prediction scheme for system-level Hardware Failure prediction. We normalize the distribution of samples' attributes from different vendors to make use of diverse training sets. We propose a temporal Convolution Neural Network based model that is insensitive to the noise in the time dimension. Finally, we design a loss function to train the model with extremely imbalanced samples effectively. Experimental results from an open S.M.A.R.T data set and an industrial data set show the effectiveness of the proposed scheme.
Michael R Greiwe - One of the best experts on this subject based on the ideXlab platform.
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biomechanical comparison of component position and Hardware Failure in the reverse shoulder prosthesis
Journal of Shoulder and Elbow Surgery, 2007Co-Authors: Sergio Gutierrez, Michael R Greiwe, Mark A Frankle, Steven SiegalAbstract:There has been renewed interest in reverse shoulder arthroplasty for the treatment of glenohumeral arthritis with concomitant rotator cuff deficiency. Failure of the prosthesis at the glenoid attachment site remains a concern. The purpose of this study was to examine glenoid component stability with regard to the angle of implantation. This investigation entailed a biomechanical analysis to evaluate forces and micromotion in glenoid components attached to 12 polyurethane blocks at −15°, 0°, and +15° of superior and inferior tilt. The 15° inferior tilt had the most uniform compressive forces and the least amount of tensile forces and micromotion when compared with the 0° and 15° superiorly tilted baseplate. Our results suggest that implantation with an inferior tilt will reduce the incidence of mechanical Failure of the glenoid component in a reverse shoulder prosthesis.
