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.
Full Text
What is claimed is:
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.
Timeline
Filed
02/26/2026Published
07/02/2026Granted
Not AvailableIPC Codes(3)
A61B 5/00:Measuring for diagnostic purposes (radiation diagnosis A61B 6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B 8/00); Identification of persons
A61B 5/11:Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
G16H 10/60:for patient-specific data, e.g. for electronic patient records