Daniel W. Stashuk

发表

Augmenting the decomposition of EMG signals using supervised feature extraction techniques

Mohamed S. Kamel, Hossein Parsaei, Mehrdad J. Gangeh, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An SVM classifier for detecting merged motor unit potential trains extracted by EMG signal decomposition using their MUP shape information

Hossein Parsaei, Daniel W. Stashuk, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals

Daniel W. Stashuk, Meena Abdelmaseeh, Benn Smith, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automatic validation of motor unit potential trains extracted by EMG signal decomposition

Hossein Parsaei, Daniel W. Stashuk, 2011, 2011 24th Canadian Conference on Electrical and Computer Engineering(CCECE).

An interactive environment for motor unit potential classification using certainty-based classifiers

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2008, Simul. Model. Pract. Theory.

A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decomposition

Hossein Parsaei, Daniel W. Stashuk, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Transparent decision support using statistical reasoning and fuzzy inference

Daniel W. Stashuk, Andrew Hamilton-Wright, D. Stashuk, 2006, IEEE Transactions on Knowledge and Data Engineering.

Generative Multiple-Instance Learning Models For Quantitative Electromyography pdf

Ruth Urner, Daniel W. Stashuk, Daniel J. Lizotte, 2013, UAI.

Multifunction myoelectric control using multi-dimensional dynamic time warping

Daniel W. Stashuk, Meena Abdelmaseeh, Tsu-Wei Chen, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Pattern Classification Techniques for EMG Decomposition

Daniel W. Stashuk, Sarbast Rasheed, 2009 .

A Hybrid Classifier Fusion Approach for Motor Unit Potential Classification During EMG Signal Decomposition

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2007, IEEE Transactions on Biomedical Engineering.

Clinical Characterization of Electromyographic Data Using Computational Tools

Daniel W. Stashuk, Andrew Hamilton-Wright, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Constructing a FuzzyRuleBasedClassification SystemUsingPatternDiscovery

Daniel W. Stashuk, 2005 .

Controlling Classiﬁer Ensemble Members For Motor Unit Potential Classiﬁcation Through Diversity Measure

Daniel W. Stashuk, Sarbast Rasheed, Kamel Mohamed, 2008 .

Classifier fusion interactive software toolbox for EMG signal decomposition

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2015, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE).

Integrating Heterogeneous Classifier Ensembles for EMG Signal Decomposition Based on Classifier Agreement

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2010, IEEE Transactions on Information Technology in Biomedicine.

Statistically Based Pattern Discovery Techniques for Biological Data Analysis

Daniel W. Stashuk, Andrew Hamilton-Wright, 2008, Applications of Computational Intelligence in Biology.

MUP shape-based validation of a motor unit potential train

Hossein Parsaei, Daniel W. Stashuk, D. Stashuk, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Improved MUP Template Estimation Using Local Time Warping and Kernel Weighted Averaging

Daniel W. Stashuk, Andrew Hamilton-Wright, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Motor Unit Potential Train Validation and Its Application in EMG Signal Decomposition

Hossein Parsaei, Daniel W. Stashuk, D. Stashuk, 2012 .

A software package for interactive motor unit potential classification using fuzzy k-NN classifier

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2008, Comput. Methods Programs Biomed..

Fusion of multiple classifiers for motor unit potential sorting

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2008, Biomed. Signal Process. Control..

Visualization Techniques for Confidence Based Data

Daniel W. Stashuk, Andrew Hamilton-Wright, 2009, Encyclopedia of Data Warehousing and Mining.

SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal Decomposition

Hossein Parsaei, Daniel W. Stashuk, D. Stashuk, 2012, IEEE Transactions on Biomedical Engineering.

A Weakly Supervised Learning Approach based on Spectral Graph-Theoretic Grouping pdf

Daniel W. Stashuk, Alexander Wong, Tameem Adel, 2015, ArXiv.

Decomposition of intramuscular EMG signals using a knowledge -based certainty classifier algorithm

Hossein Parsaei, Daniel W. Stashuk, Tameem Adel, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Discovering Density-Based Clustering Structures Using Neighborhood Distance Entropy Consistency

Daniel W. Stashuk, Tahereh Kamali, D. Stashuk, 2020, IEEE Transactions on Computational Social Systems.

Muscle Categorization Using Quantitative Needle Electromyography: A 2-Stage Gaussian Mixture Model Based Approach

Pascal Poupart, Daniel W. Stashuk, Meena Abdelmaseeh, 2012, 2012 11th International Conference on Machine Learning and Applications.

Muscle categorization using PDF estimation and Naive Bayes classification

Daniel W. Stashuk, Benn Smith, Tameem Adel, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Automated segmentation of white matter fiber bundles using diffusion tensor imaging data and a new density based clustering algorithm

Daniel W. Stashuk, Tahereh Kamali, D. Stashuk, 2016, Artif. Intell. Medicine.

Fuzzy Classification Using Pattern Discovery

Daniel W. Stashuk, Hamid R. Tizhoosh, Andrew Hamilton-Wright, 2007, IEEE Transactions on Fuzzy Systems.

Adaptive certainty-based classification for decomposition of EMG signals

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2006, Medical and Biological Engineering and Computing.

Electrophysiological Muscle Classification Using Multiple Instance Learning and Unsupervised Time and Spectral Domain Analysis

Daniel W. Stashuk, Tahereh Kamali, 2018, IEEE Transactions on Biomedical Engineering.

A decision support framework for clinical needle EMG

Daniel W. Stashuk, Andrew Hamilton-Wright, 2006 .

Physiologically based simulation of clinical EMG signals

Daniel W. Stashuk, Andrew Hamilton-Wright, D. Stashuk, 2005, IEEE Transactions on Biomedical Engineering.

Motor Unit Potential Jitter: A New Measure of Neuromuscular Transmission Instability

Daniel W. Stashuk, Meena AbdelMaseeh, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Validation of motor unit potential trains using motor unit firing pattern information

Hossein Parsaei, Daniel W. Stashuk, Andrew Hamilton-Wright, 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Motor unit number estimation using reversible jump Markov chain Monte Carlo methods - Discussion paper

Christophe Andrieu, Daniel W. Stashuk, Gavin J. Gibson, 2007 .

Diversity-based combination of non-parametric classifiers for EMG signal decomposition

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2008, Pattern Analysis and Applications.

Intra-and Inter-operator Reliability Of Quantitative Electromyography: 1468

Daniel W. Stashuk, Michael J. Agnew, Linda McLean, 2008 .

Validating motor unit firing patterns extracted by EMG signal decomposition

Hossein Parsaei, Daniel W. Stashuk, Andrew Hamilton-Wright, 2011, Medical & Biological Engineering & Computing.

Cross Comparison of Motor Unit Potential Features Used in EMG Signal Decomposition

Daniel W. Stashuk, Hossein Parsaei, Mohsen Ghofrani Jahromi, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Multi-classification techniques applied to EMG signal decomposition

Mohamed S. Kamel, Daniel W. Stashuk, Sarbast M. Rasheed, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

Quantization of Continuous Data for Pattern Based Rule Extraction

Daniel W. Stashuk, Andrew Hamilton-Wright, 2009, Encyclopedia of Data Warehousing and Mining.

Evaluation of motor unit placement algorithms for EMG simulation

Daniel W. Stashuk, Javier Navallas, Andrew Hamilton-Wright, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition

Daniel W. Stashuk, Tsu-Wei Chen, Meena AbdelMaseeh, 2016, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Affine and Regional Dynamic Time Warping

Daniel W. Stashuk, Meena Abdelmaseeh, Tsu-Wei Chen, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Pattern Classification Techniques for EMG Signal Decomposition

Daniel W. Stashuk, Sarbast Rasheed, 2009 .

Detection of motor unit action potentials with surface electrodes: influence of electrode size and spacing

Daniel W. Stashuk, Andrew J. Fuglevand, Aftab E. Patla, 1992, Biological Cybernetics.

MUNE using decomposition-enhanced spike-triggered averaging

Daniel W. Stashuk, William F. Brown, Timothy J. Doherty, 2003 .

Motor unit estimates based on the automated analysis of F-waves

Daniel W. Stashuk, William F. Brown, Timothy J. Doherty, 1992, 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Reliability of quantitative EMG analysis of the extensor carpi radialis muscle

Daniel W. Stashuk, Michael J. Agnew, Linda McLean, 2008, Journal of Neuroscience Methods.

Increased motor unit potential shape variability across consecutive motor unit discharges in the tibialis anterior and vastus medialis muscles of healthy older subjects

Daniel W. Stashuk, Marjorie Johnson, D. Stashuk, 2015, Clinical Neurophysiology.

Within-subject reliability of motor unit number estimates and quantitative motor unit analysis in a distal and proximal upper limb muscle

Daniel W. Stashuk, Shaun G. Boe, D. Stashuk, 2006, Clinical Neurophysiology.