The following publications are possibly variants of this publication:
- Automatic validation of motor unit potential trains extracted by EMG signal decompositionHossein Parsaei, Daniel W. Stashuk. ccece 2011: 791-794 [doi]
- An SVM classifier for detecting merged motor unit potential trains extracted by EMG signal decomposition using their MUP shape informationHossein Parsaei, Daniel W. Stashuk. ccece 2011: 795-798 [doi]
- SVM-Based Validation of Motor Unit Potential Trains Extracted by EMG Signal DecompositionHossein Parsaei, Daniel W. Stashuk. tbe, 59(1):183-191, 2012. [doi]
- Sliding window averaging for the extraction of representative waveforms from motor unit action potential trainsArmando Malanda, Ignacio Rodríguez-Carreño, Javier Navallas-Irujo, Javier Rodríguez-Falces, Sonia Porta, Luis Gila-Useros. bspc, 27:32-43, 2016. [doi]
- A new method for measurement of motor unit action potential duration based on correlation, a pilot studyIgnacio Rodríguez-Carreño, Armando Malanda, Luis Gila-Useros, Iñaki García-Gurtubay, Javier Navallas-Irujo, Javier Rodríguez-Falces. mbec, 58(3):589-599, 2020. [doi]
- Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signalsMeena Abdelmaseeh, Benn Smith, Daniel W. Stashuk. embc 2014: 4066-4070 [doi]