Jun-Uk Chu
According to our database1,
Jun-Uk Chu
authored at least 11 papers
between 2007 and 2019.
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Bibliography
2019
Linear feature projection-based real-time decoding of limb state from dorsal root ganglion recordings.
J. Comput. Neurosci., 2019
2018
An Implantable Wireless Neural Interface System for Simultaneous Recording and Stimulation of Peripheral Nerve with a Single Cuff Electrode.
Sensors, 2018
A 110dB-CMRR 100dB-PSRR multi-channel neural-recording amplifier system using differentially regulated rejection ratio enhancement in 0.18μm CMOS.
Proceedings of the 2018 IEEE International Solid-State Circuits Conference, 2018
Towards the Development of Bidirectional Peripheral Nerve Interface for Long-term Implantation.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
2017
Ankle-Angle Estimation from Blind Source Separated Afferent Activity in the Sciatic Nerve for Closed-Loop Functional Neuromuscular Stimulation System.
IEEE Trans. Biomed. Eng., 2017
A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2016
An Unsorted Spike-Based Pattern Recognition Method for Real-Time Continuous Sensory Event Detection from Dorsal Root Ganglion Recording.
IEEE Trans. Biomed. Eng., 2016
64-channel double-layered sieve electrode with increased porosity for improved axon regeneration and high spatial resolution.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
2013
An implantable wireless system for muscle afferent recording from the sciatic nerve during functional electrical stimulation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2008
Design and control of a multifunction myoelectric hand with new adaptive grasping and self-locking mechanisms.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008
2007
Conjugate prior penalized learning of Gaussian mixture models for EMG pattern recognition.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007