Hsiang‐Chih Chang
Papers
1
Total Citations
59
H-Index
1
About
Dr. Hsiang-Chih Chang is a leading researcher in brain-computer interfaces (BCIs) and biomedical signal processing, with a focus on translating neural activity into real-world control systems. His most cited work, "A Brain-Wave-Actuated Small Robot Car Using Ensemble Empirical Mode Decomposition-Based Approach" (2012, 59 citations), introduced an innovative ensemble empirical mode decomposition (EEMD) method to extract steady-state visual evoked potentials (SSVEPs) from electroencephalography (EEG) signals. By using three flickering visual stimuli at 13, 14, and 15 Hz, Chang demonstrated a robust, wireless system for controlling a small robot car through brain waves alone. This contribution significantly advanced non-invasive BCI technology, offering a practical framework for assistive devices and human-machine interaction. His work is widely recognized for bridging signal processing techniques with real-time applications, inspiring subsequent research in SSVEP-based BCIs. Chang’s achievements highlight his impact on the field, with his foundational paper remaining a key reference for engineers and neuroscientists developing brain-actuated systems.
Research Focus
Key Achievements
Top Papers
- 1