A STUDY ON THE EFFECT OF AEROBIC FITNESS ON THE SYNCHRONICITY OF BRAIN NERVE–LIMB MOVEMENT IN HUMANS

Abstract

In order to analyze the synchronization ability of human brain nerve–limb movement, a research framework based on the gray wolf algorithm was constructed. The response timestamp data of human brain nerves was obtained under command excitation using a near-infrared brain functional imaging testing system as input for the gray wolf algorithm. The body motion response timestamp data was used as the output of the gray wolf algorithm. By using the gray wolf algorithm for swarm intelligence learning and training, the synchronization relationship between brain nerves and limb movements can be obtained. Taking aerobic energy as the key factor, we set up groups with higher aerobic energy and groups with lower aerobic energy, and then conduct the experimental research. The experimental results showed that the synchronization ability of “brain nerve–limb movement” was significantly stronger in the group with higher aerobic fitness than in the group with lower aerobic fitness, and this advantage increased with the increase of testing time interval.