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Building interactive virtual environments for simulated training in medicine using VRML and Java/JavaScript.

, , , и . Comput. Methods Programs Biomed., 80 (Supplement-1): S61-S70 (2005)

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Ales Stanek

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Single autoterms selection for blind source separation in time-frequency plane., , , и . EUSIPCO, стр. 1-4. IEEE, (2002)Blind Deconvolution of Close-to-Orthogonal Pulse Sources Applied to Surface Electromyograms., и . ICA, том 3195 из Lecture Notes in Computer Science, стр. 1056-1063. Springer, (2004)Tensor decomposition meets blind source separation., , , , и . Signal Process., (2024)Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation., , и . BIOSIGNALS, стр. 396-400. SciTePress, (2013)Human-Machine Interfacing by Decoding the Surface Electromyogram Life Sciences., и . IEEE Signal Process. Mag., 32 (1): 115-120 (2015)Building interactive virtual environments for simulated training in medicine using VRML and Java/JavaScript., , , и . Comput. Methods Programs Biomed., 80 (Supplement-1): S61-S70 (2005)Impact of motor unit action potential components on the motor unit identification from dynamic high-density surface electromyograms., и . NER, стр. 90-93. IEEE, (2017)On the Prediction of Motor Unit Filter Changes in Blind Source Separation of High-Density Surface Electromyograms During Dynamic Muscle Contractions., и . IEEE Access, (2021)Noninvasive Neural Interfacing With Wearable Muscle Sensors: Combining Convolutive Blind Source Separation Methods and Deep Learning Techniques for Neural Decoding., и . IEEE Signal Process. Mag., 38 (4): 103-118 (2021)On the Impact of Muscle Shortening on Non-Negative Matrix Factorization of Dynamic Surface Electromyograms., , и . EMBC, стр. 5970-5973. IEEE, (2018)