Multidimensional Sensory Attention Enhancement Method for Lower Limb Rehabilitation Training

Background Maintaining attention is essential for effective lower limb rehabilitation, yet repetitive exercises often cause focus loss. Existing methods lack real‐time quantitative assessment, limiting adaptive training adjustments. Methods This study developed an electroencephalogram (EEG)‐based attention model integrating auditory, visual, and tactile stimuli. Event‐related desynchronisation (ERD) and movement‐related cortical potentials (MRCP) were extracted and fused using principal component analysis (PCA) to quantify attention on a 0–5 scale. EEG preprocessing included spatial correction, artefact removal, and band optimisation. Results The proposed model effectively quantified attention states and identified optimal sensory combinations. Multisensory stimulation, especially red light with 60 dB sound and external force, significantly enhanced cortical engagement. The system achieved 91.7% sensitivity in detecting attention decline under interference conditions. Conclusions The multidimensional sensory attention enhancement method enables dynamic attention monitoring and adaptive feedback in rehabilitation training, supporting future clinical applications and large‐scale validation.