Showing results (1-10 of 26) with videos related to
Sort By:
Pageof 3
Artificial Intelligence in Medicine|December 8, 2016
Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithmTahereh Kamali, Daniel StashukIEEE Transactions on Bio-Medical Engineering|July 12, 2018
Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain AnalysisTahereh Kamali, Daniel W StashukIEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 10, 2020
Transparent Electrophysiological Muscle Classification From EMG Signals Using Fuzzy-Based Multiple Instance LearningTahereh Kamali, Daniel W StashukIEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|March 3, 2017
A Density-Based Clustering Approach to Motor Unit Potential Characterizations to Support Diagnosis of Neuromuscular DisordersTahereh Kamali, Daniel W StashukIEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 23, 2013
A Multi-Classifier Approach to MUAP Classification for Diagnosis of Neuromuscular DisordersTahereh Kamali, Reza Boostani, Hossein ParsaeiMedical & Biological Engineering & Computing|August 29, 2006
Adaptive certainty-based classification for decomposition of EMG signalsSarbast Rasheed, Daniel Stashuk, Mohamed KamelComputer Methods and Programs in Biomedicine|December 7, 2007
A software package for interactive motor unit potential classification using fuzzy k-NN classifierSarbast Rasheed, Daniel Stashuk, Mohamed KamelAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signalsMeena AbdelMaseeh, Benn Smith, Daniel StashukMedical Engineering & Physics|January 13, 2006
Adaptive fuzzy k-NN classifier for EMG signal decompositionSarbast Rasheed, Daniel Stashuk, Mohamed KamelMuscle & Nerve|July 30, 2013
Feature selection for motor unit potential train characterizationMeena Abdelmaseeh, Benn Smith, Daniel StashukPageof 3