Multidimensional Sensory Attention Enhancement Method for Lower Limb Rehabilitation Training

Area of Science:

• Neuroscience
• Rehabilitation Engineering
• Biomedical Signal Processing

Background:

• Maintaining patient attention is crucial for effective lower limb rehabilitation.
• Repetitive exercises commonly lead to attention deficits, hindering progress.
• Current assessment methods lack real-time quantitative feedback for adaptive training.

Purpose of the Study:

• To develop an electroencephalogram (EEG)-based model for quantitative attention assessment.
• To investigate the impact of multisensory stimuli on attention during rehabilitation.
• To enable adaptive feedback mechanisms for enhanced training.

Main Methods:

• EEG data acquisition and preprocessing (spatial correction, artifact removal).
• Extraction and fusion of event-related desynchronisation (ERD) and movement-related cortical potentials (MRCP) using PCA.
• Development of a 0-5 scale for attention quantification.

Main Results:

• The model accurately quantified attention states and identified optimal sensory combinations.
• Multisensory stimulation (red light, 60 dB sound, external force) significantly improved cortical engagement.
• The system demonstrated 91.7% sensitivity in detecting attention decline under interference.

Conclusions:

• The developed method allows for dynamic attention monitoring in rehabilitation.
• Multidimensional sensory stimulation enhances attention and enables adaptive feedback.
• This approach supports future clinical applications and large-scale validation.