Electromyographic (EMG) pattern recognition is essential for the control of a multifunction
myoelectric hand. The main goal of this study was to develop an efficient feature- projection …

… , Jun-Uk Chu and Inchan Youn conceived and designed the experiments; Ahnsei Shon,
Jun-Uk Chu … ; Ahnsei Shon, Jun-Uk Chu and Inchan Youn analyzed the data; Ahnsei Shon and …

Cutaneous afferent activities recorded by a nerve cuff electrode have been used to detect the
stance phase in a functional electrical stimulation system for foot drop correction. However, …

Multi-channel neural-recording amplifier systems have evolved into the method of choice for
analyzing neurophysiological behavior, and are leading to a deeper understanding of the …

The condensed version: Thiolated glycol chitosan can form stable nanoparticles with polymerized
siRNAs through charge-charge interactions and self-cross-linking (see scheme). This …

Cuff electrodes are effective for chronic electroneurogram (ENG) recording while minimizing
nerve damage. However, the ENG signals are usually contaminated by electromyogram (…

This paper proposes a novel real-time EMG pattern recognition for the control of a multifunction
myoelectric hand from four channel EMG signals. To cope with the nonstationary signal …

Objective Early treatment based on an early diagnosis of rheumatoid arthritis (RA) could halt
progression of the disease, but early diagnosis is often difficult. Matrix metalloproteinase 3 (…

This paper presents a new learning method for Gaussian mixture models (GMMs) to improve
their generalization ability. A traditional maximum a posterior (MAP) parameter estimate is …

This paper presents a multifunction myoelectric hand that is designed with underactuated
mechanisms. The finger design allows an adaptive grasp, including adaptation between …