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Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology.

, , , , , , and . EMCIS, volume 381 of Lecture Notes in Business Information Processing, page 419-437. Springer, (2019)

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The First Experience with the Use of Noise-Assisted Empirical Mode Decomposition Algorithm in the Processing of Multi-channel Electrogastrography Signals.. ITIB (1), volume 471 of Advances in Intelligent Systems and Computing, page 311-324. Springer, (2016)Output Flow Estimation of Pneumatically Controlled Ventricular Assist Device with the help of Artificial Neural Network., and . CORES, volume 30 of Advances in Soft Computing, page 561-568. Springer, (2005)Monitoring the Gait Process During the Rehabilitation of Patients Using Computer Vision Techniques and UWB Technology., , , , , , and . EMCIS, volume 381 of Lecture Notes in Business Information Processing, page 419-437. Springer, (2019)Empirical Mode Decomposition for slow wave extraction from electrogastrographical signals., , and . EMBC, page 4138-4141. IEEE, (2015)Higher-Order Spectral Analysis Combined with a Convolution Neural Network for Atrial Fibrillation Detection-Preliminary Study., and . Sensors, 24 (13): 4171 (July 2024)EGG DWPack: System for Multi-Channel Electrogastrographic Signals Recording and Analysis.. J. Medical Systems, 42 (11): 201:1-201:17 (2018)The wireless system for EGG signal acquisition., , and . ICECS, page 372-375. IEEE, (2012)A new method for attenuation of respiration artifacts in electrogastrographic (EGG) signals., and . EMBC, page 6006-6009. IEEE, (2015)Acoustic signals from the knee., , , , , , and . (March 2023)