Physiological electric signal classification processing method and apparatus, computer device and storage medium

A physiological electric signal classification processing apparatus, the apparatus comprising:

• a memory and one or more processors, the memory storing computer-readable instructions, the one or more processors, when executing the computer-readable instructions, being configured to perform:
• acquiring an initial physiological electric signal corresponding to a target user identity;
• performing data alignment on the initial physiological electric signal based on target signal spatial information corresponding to the target user identify to obtain a target physiological electric signal;
• performing spatial feature extraction on the target physiological electric signal based on a target spatial filtering matrix to obtain a target spatial feature, wherein the target spatial filtering matrix is generated by:
• acquiring initial sample physiological electric signals corresponding to a plurality of training user identifies respectively, the initial sample physiological electric signals carrying training labels, each training user identity corresponding to a plurality of initial sample physiological electric signals;
• performing initial sample physiological electric signal conversion based on a corresponding reference matrix generated from the plurality of initial sample physiological electric signals corresponding to the same training user identity, to obtain a target sample physiological electric signal corresponding to each training user identity;
• and
• generating the target spatial filtering matrix based on a signal difference between the target sample physiological electric signals corresponding to different training labels;
• and
• obtaining a classification result corresponding to the initial physiological electric signal based on the target spatial feature.

One or more non-transitory computer-readable storage medium, storing computer-readable instructions, the computer-readable instructions, when executed by one or more processors, implementing:

• acquiring an initial physiological electric signal corresponding to a target user identity;
• performing data alignment on the initial physiological electric signal based on target signal spatial information corresponding to the target user identify to obtain a target physiological electric signal;
• performing spatial feature extraction on the target physiological electric signal based on a target spatial filtering matrix to obtain a target spatial feature, wherein the target spatial filtering matrix is generated by:
• acquiring initial sample physiological electric signals corresponding to a plurality of training user identifies respectively, the initial sample physiological electric signals carrying training labels, each training user identity corresponding to a plurality of initial sample physiological electric signals;
• performing initial sample physiological electric signal conversion based on a corresponding reference matrix generated from the plurality of initial sample physiological electric signals corresponding to the same training user identity, to obtain a target sample physiological electric signal corresponding to each training user identity;
• and
• generating the target spatial filtering matrix based on a signal difference between the target sample physiological electric signals corresponding to different training labels;
• and
• obtaining a classification result corresponding to the initial physiological electric signal based on the target spatial feature.