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Christian Antfolk

Showing results (1-10 of 47) with videos related to

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Nature Reviews. Neurology|June 30, 2024
Sensory feedback in upper limb prosthetics: advances and challengesNebojša Malešević, Christian Antfolk
Biomedical Engineering Online|February 8, 2023
Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separationRobin Rohlén, Jonathan Lundsberg, Christian Antfolk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Long term sustained attention alters dynamic functional connectivity patternsJia Liu, Nebojsa Malesevic, Christian Antfolk
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 9, 2022
Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor unitsRobin Rohlén, Christian Antfolk, Christer Grönlund
Computers in Biology and Medicine|May 19, 2020
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognitionAlexander E Olsson, Anders Björkman, Christian Antfolk
Sensors (Basel, Switzerland)|November 14, 2023
An Integrated Approach for Real-Time Monitoring of Knee Dynamics with IMUs and Multichannel EMGNebojsa Malesevic, Ingrid Svensson, Gunnar Hägglund, et al.
Scientific Reports|November 21, 2025
Generalizable gesture classification of HDsEMG using volume representations of muscles averaged across multiple individualsJonathan Lundsberg, Anders Björkman, Nebojsa Malesevic, et al.
Journal of Neural Engineering|May 12, 2023
A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematicsRobin Rohlén, Jonathan Lundsberg, Nebojsa Malesevic, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|January 19, 2025
Muscle activity mapping by single peak localization from HDsEMGJonathan Lundsberg, Anders Björkman, Nebojsa Malesevic, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition MethodsAlexander Olsson, Nebojsa Malesevic, Anders Bjorkman, et al.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Nature Reviews. Neurology|June 30, 2024
Sensory feedback in upper limb prosthetics: advances and challengesNebojša Malešević, Christian Antfolk
Biomedical Engineering Online|February 8, 2023
Estimating the neural spike train from an unfused tetanic signal of low-threshold motor units using convolutive blind source separationRobin Rohlén, Jonathan Lundsberg, Christian Antfolk
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
Long term sustained attention alters dynamic functional connectivity patternsJia Liu, Nebojsa Malesevic, Christian Antfolk
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|October 9, 2022
Optimization and comparison of two methods for spike train estimation in an unfused tetanic contraction of low threshold motor unitsRobin Rohlén, Christian Antfolk, Christer Grönlund
Computers in Biology and Medicine|May 19, 2020
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognitionAlexander E Olsson, Anders Björkman, Christian Antfolk
Sensors (Basel, Switzerland)|November 14, 2023
An Integrated Approach for Real-Time Monitoring of Knee Dynamics with IMUs and Multichannel EMGNebojsa Malesevic, Ingrid Svensson, Gunnar Hägglund, et al.
Scientific Reports|November 21, 2025
Generalizable gesture classification of HDsEMG using volume representations of muscles averaged across multiple individualsJonathan Lundsberg, Anders Björkman, Nebojsa Malesevic, et al.
Journal of Neural Engineering|May 12, 2023
A fast blind source separation algorithm for decomposing ultrafast ultrasound images into spatiotemporal muscle unit kinematicsRobin Rohlén, Jonathan Lundsberg, Nebojsa Malesevic, et al.
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|January 19, 2025
Muscle activity mapping by single peak localization from HDsEMGJonathan Lundsberg, Anders Björkman, Nebojsa Malesevic, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Exploiting the Intertemporal Structure of the Upper-Limb sEMG: Comparisons between an LSTM Network and Cross-Sectional Myoelectric Pattern Recognition MethodsAlexander Olsson, Nebojsa Malesevic, Anders Bjorkman, et al.
Pageof 5