Papers

2

Total Citations

11

H-Index

2

About

Jaesung Jeong is a leading researcher in neurorehabilitation engineering, specializing in brain–computer interfaces and robotic therapy for stroke recovery. His work centers on restoring hand motor function in chronic stroke patients through innovative hybrid systems that integrate electroencephalography (EEG) and electromyography (EMG) signals. In his highly cited 2022 study, Jeong developed an EEG-EMG hybrid real-time classification system for hand grasp and release movements, achieving 9 citations by demonstrating how wearable soft robotic gloves can decode patient intention to enable more natural, intuitive rehabilitation. Expanding on this, his 2023 functional MRI study (2 citations) provided groundbreaking preliminary evidence of brain plasticity changes during hand rehabilitation with an MR-compatible soft glove, directly linking robotic therapy to cortical reorganization. Jeong’s contributions bridge the gap between neural signal processing and practical assistive technology, offering a roadmap for personalized, neuroplasticity-driven stroke recovery. His work is notable for its translational impact, combining wearable robotics with real-time neural decoding to empower patients in activities of daily living.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
EEG-EMG hybrid real-time classification of hand grasp and release movements intention in chronic stroke patients
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Korea Advanced Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago