Showing results (1-10 of 70) with videos related to

Sort By:
Pageof 7
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
Enhanced estimation of motor unit number and distribution using linear least squares modelingSrivathsan Krishnamachari, Xuan Kong
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 7, 2007
A Computational Model for CMAP and F-wave Signal GenerationXuan Kong, Srivathsan Krishnamachari
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|October 20, 2007
Automated removal of stimulus artifact in nerve conduction studiesBrian H Tracey, Srivathsan Krishnamachari
Advances in Experimental Medicine and Biology|March 19, 2020
Discovery of New Immune Checkpoints: Family Grows UpXuan Kong
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
F-wave decomposition for time of arrival profile estimationZhixiu Han, Xuan Kong
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
An energy ratio based measure for F-wave backfiring rate estimationXuan Kong, Shai N Gozani
Applied Optics|February 15, 2012
Instrumentation design for bridge scour monitoring using fiber Bragg grating sensorsWen Xiong, C S Cai, Xuan Kong
Biomedical Engineering Online|November 10, 2009
Repeatability of nerve conduction measurements derived entirely by computer methodsXuan Kong, Eugene A Lesser, Shai N Gozani
Communications Engineering|November 2, 2024
Multi-level physics informed deep learning for solving partial differential equations in computational structural mechanicsWeiwei He, Jinzhao Li, Xuan Kong, et al.
Pageof 7