Changhao Jiang

Capital University of Physical Education and Sports

Papers

Total Citations

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About

Changhao Jiang is a leading researcher in neural engineering and brain-computer interfaces (BCIs), with a primary focus on multimodal neuroimaging and motor imagery decoding. His most cited work, "Imagined Hand Clenching Force and Speed Modulate Brain Activity and Are Classified by NIRS Combined With EEG" (2016, 44 citations), pioneered the simultaneous acquisition of brain signals from the sensorimotor area using near-infrared spectroscopy (NIRS) and electroencephalography (EEG). This study demonstrated that imagined hand clenching force and speed significantly modulate brain activity, and achieved six-class classification of these imagined motor parameters through NIRS-EEG fusion. By integrating complementary neuroimaging modalities, Jiang’s research has advanced the precision and dimensionality of BCI systems, enabling more nuanced control of prosthetic devices and rehabilitation tools. His work bridges fundamental neuroscience with practical applications, offering new pathways for restoring motor function in paralyzed individuals. With a growing citation impact, Jiang continues to shape the field of hybrid BCIs, inspiring innovations in real-time neural decoding and assistive technology.