Abstract: The present disclosure relates to a method of evaluating a neuromuscular system, the method comprising: obtaining a neuromuscular system signal; dividing the neuromuscular system signal into a plurality of segment units based on frequency; extracting a feature vector for each of the divided plurality of segments; and performing neuromuscular system condition evaluation by inputting the extracted feature vector into an artificial intelligence model trained through artificial intelligence-based model training.

Abstract: A rehabilitation system according to an embodiment of the present invention includes a wearable device for measuring rehabilitation exercise information of a user and a user electronic device receiving the rehabilitation exercise information from the wearable device and driving an avatar training program. The user electronic device may receive the avatar training program recommended based on user personal information and the rehabilitation exercise information from a rehabilitation program recommendation server. According to the present invention, a rehabilitation effect can be enhanced by performing a rehabilitation exercise according to a rehabilitation program suitable for a user using a wearable device and a user electronic device.