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Daniel W Stashuk

Showing results (1-10 of 66) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 17, 2017
Motor Unit Potential Jitter: A New Measure of Neuromuscular Transmission InstabilityMeena AbdelMaseeh, Daniel W Stashuk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decompositionH Parsaei, Daniel W Stashuk
IEEE Transactions on Bio-Medical Engineering|September 29, 2011
SVM-based validation of motor unit potential trains extracted by EMG signal decompositionHossein Parsaei, Daniel W Stashuk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
MUP shape-based validation of a motor unit potential trainHossein Parsaei, Daniel W Stashuk
IEEE 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 Stashuk
IEEE 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 Stashuk
Medical Engineering & Physics|January 29, 2011
Adaptive motor unit potential train validation using MUP shape informationHossein Parsaei, Daniel W Stashuk
IEEE 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 Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 4, 2012
EMG signal decomposition using motor unit potential train validityHossein Parsaei, Daniel W Stashuk
Experimental Gerontology|January 22, 2022
Preventing age-related motor unit loss; is exercise the answer?Mathew Piasecki, Daniel W Stashuk
Pageof 7

Showing results (1-10 of 66) with videos related to

Sort By:
Pageof 7
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|February 17, 2017
Motor Unit Potential Jitter: A New Measure of Neuromuscular Transmission InstabilityMeena AbdelMaseeh, Daniel W Stashuk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A method for detecting and editing MUPTs contaminated by false classification errors during EMG signal decompositionH Parsaei, Daniel W Stashuk
IEEE Transactions on Bio-Medical Engineering|September 29, 2011
SVM-based validation of motor unit potential trains extracted by EMG signal decompositionHossein Parsaei, Daniel W Stashuk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
MUP shape-based validation of a motor unit potential trainHossein Parsaei, Daniel W Stashuk
IEEE 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 Stashuk
IEEE 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 Stashuk
Medical Engineering & Physics|January 29, 2011
Adaptive motor unit potential train validation using MUP shape informationHossein Parsaei, Daniel W Stashuk
IEEE 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 Stashuk
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|October 4, 2012
EMG signal decomposition using motor unit potential train validityHossein Parsaei, Daniel W Stashuk
Experimental Gerontology|January 22, 2022
Preventing age-related motor unit loss; is exercise the answer?Mathew Piasecki, Daniel W Stashuk
Pageof 7