ANALYSIS OF BRAIN–MUSCLE CORRELATION IN DIFFERENT HAND MOVEMENTS

Exploring the relationship between muscle and brain activity is of great importance in biomedical research, and in particular for brain–machine interfaces (BMI). This paper explores the relationship between the human brain and muscle activity for five subjects during specific hand movements, namely wrist flexion, wrist extension, and fist clenching. The fractal dimension (FD) and approximate entropy (ApEn) of electroencephalogram (EEG) and electromyography (EMG) signals were calculated for subjects performing hand movements. The results show a correlation between the complexity variations in the EMG signals and those in the EEG signals during different hand movements, suggesting a link between brain and muscle activity. Given the complex nature of physiological signals, this analytical approach proves applicable for investigating correlations between different organ activities under different conditions.