Fast Adaptive Control Method of Muscle Electrical Stimulation Based on Active Cyclic Motion

Abstract

The invention provides an electric muscle stimulation fast self-adaptive control method based on active cyclic motion. The electric muscle stimulation fast self-adaptive control method includes the following steps that step 1, an electric muscle stimulation motion model is constructed, and a corresponding relationship of a target muscle electrical stimulation start angle, a muscle electrical stimulation end angle and a motion crank angle is built by testing each target muscle when the output power under a determined electrical stimulation pulse reaches a maximum value; step 2, a crank angle-muscle electrical stimulation hash table based on a chain address method is constructed, after the motion crank angle is divided by 360 degrees, an obtained remainder is a hash address, a hash functionis obtained, that is, Hash(key)=key mod 360, each motion crank angle value corresponds to a subscript, and a hash table in the form of a linear array is obtained; and the step 3, target electric muscle stimulation control is carried out. The electric muscle stimulation fast self-adaptive control method can help special users to complete sitting, lying, standing, motion and pedaling, the target electric stimulated muscles can be positioned faster, and the problem of hash collision is effectively solved.

Description

technical field [0001] The invention relates to the field of autonomous medical training, in particular to a fast self-adaptive control method for muscle electrical stimulation based on active circular motion. Background technique [0002] Hash table (Hash table) is a data structure that is directly accessed according to the key value (Key value). That is, it accesses records by mapping key values ​​to a location in the table to speed up lookups. In a hash table, there is a definite relationship between a record's position in the table and its key. In this way, we can know in advance the position of the searched keyword in the table, so as to find the record directly through the subscript. When using the hash table to query, the key is converted to the corresponding array subscript using the hash function again, and the space is located to obtain the value. In this way, the positioning performance of the array can be fully utilized for data processing. position. The bigg...

AI Technical Summary

Problems solved by technology

The method provided in this document is more complicated, and the search speed is slower. When the movement speed is faster, adaptive control cannot be realized.

Images