Abstract:

As the aging population and the number of patients with chronic diseases increase, the field of rehabilitation medicine faces both significant challenges and opportunities. Non-invasive brain computer interface (BCI) technology, as an innovative diagnostic and therapeutic tool, brings new hope to patients with motor disabilities caused by central nervous system damage such as stroke. Compared to traditional rehabilitation training, single-modal BCI technology has the advantage of activating sensory-motor cortex and assisting patients’ rehabilitation from a brain-level perspective, but each single-modal paradigm has its limitations. Hybrid modalities have been a recent research focus, aiming to improve the overall system’s reliability and accuracy by combining two modalities. Based on this, a novel motor-visual hybrid modality BCI technology is proposed, with an average classification accuracy of 86.67% in online experiments. It can simultaneously evoke responses from the motor cortex and visual cortex, and is expected to become a new paradigm for active rehabilitation and neural reshaping.

Key words: non-invasive BCI, neural rehabilitation, visual evoked potentials, motor imagery, hybrid modalities