The application relates to the technical field of physiotherapy, in particular to a non-contact electromagnetic physiotherapy method and
system for
brain waves. The non-contact electromagnetic physiotherapy
system for
brain waves comprises an electroencephalogram
signal acquisition module, an electroencephalogram
signal feature data construction module and a
pulse electromagnetic field physiotherapy module. The electroencephalogram
signal data is mapped to a pulse
phase time axis, and the electroencephalogram signal data sequence is corrected in combination with the repetition component constraint of the pulse phase
label, so that the periodic interference component introduced in the process of the action of the
pulse electromagnetic field can be effectively inhibited, the influence on the electroencephalogram acquisition result and the
frequency band energy calculation is reduced, and the accuracy and stability of the electroencephalogram signal
feature data extraction are improved. Based on the corrected electroencephalogram signal
feature data, a
reinforcement learning method is used to construct a driving parameter set of an
electromagnetic field construction unit, and a
reward value is calculated in combination with a
standard curve of brain wave sleep to update a driving parameter construction network.