Papers
1
Total Citations
9
H-Index
1
About
Jun Ha Jung is a pioneering researcher in neural rehabilitation engineering, with a focus on developing brain-computer interface (BCI) systems for stroke recovery. His key research areas include electroencephalography (EEG) and electromyography (EMG) signal processing, hybrid neural decoding, and soft robotic exoskeletons for motor function restoration. Jung’s most cited work, “EEG-EMG hybrid real-time classification of hand grasp and release movements intention in chronic stroke patients” (2022, 9 citations), introduces a novel hybrid framework that combines cortical and muscular signals to decode hand movement intentions with high accuracy. This contribution is critical for enabling intuitive control of wearable rehabilitation devices, such as multi-degree-of-freedom soft gloves, which can assist chronic stroke patients in regaining hand motor function for daily activities. By integrating real-time neural classification with soft robotics, Jung’s research bridges the gap between neural decoding and practical assistive technology. His work has been recognized for its potential to transform neurorehabilitation, offering a pathway toward more adaptive, patient-specific therapies that improve quality of life for individuals with long-term motor impairments.
Research Focus
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Top Papers
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