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Comparison of Features for Movement Prediction from Single-Trial Movement-Related Cortical Potentials in Healthy Subjects and Stroke Patients.

, , , and . Comput. Intell. Neurosci., (2015)

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Classification of hand and wrist tasks of unknown force levels using muscle synergies., , , and . EMBC, page 1663-1666. IEEE, (2015)Nonparametric Discriminant Projections for Improved Myoelectric Classification., , and . BIOSIGNALS, page 127-132. SciTePress, (2014)Time-Frequency Distributions of Heart Sound Signals: A Comparative Study using Convolutional Neural Networks., , , , , , and . CoRR, (2022)The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach., , and . Sensors, 22 (6): 2261 (2022)Estimation of the Respiratory Rate from Localised ECG at Different Auscultation Sites., , and . Sensors, 21 (1): 78 (2021)Estimation of muscle fiber conduction velocity of doublet discharges., and . Biomed. Signal Process. Control., 2 (4): 331-338 (2007)Analysis of ECG and PCG Time Delay around Auscultation Sites., , , and . BIOSIGNALS, page 206-213. SCITEPRESS, (2020)Classification of Hand Grasp Kinetics and Types Using Movement-Related Cortical Potentials and EEG Rhythms., , , , , and . Comput. Intell. Neurosci., (2017)Multiday Evaluation of Techniques for EMG-Based Classification of Hand Motions., , , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1526-1534 (2019)Real-Time, Simultaneous Myoelectric Control Using Force and Position-Based Training Paradigms., , , , and . IEEE Trans. Biomed. Eng., 61 (2): 279-287 (2014)