Method and device for performing neuromuscular signal analysis
AssigneeExosystems Inc.
InventorsHooman LEE, Sangui CHOI, Kwangsub SONG
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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.
Claims20
A method of performing neuromuscular system condition evaluation by a device, the method comprising:
- obtaining a neuromuscular system signal obtained in response to electrical stimulation of a plurality of frequencies;
- obtaining a feature vector by analyzing the neuromuscular system signal in at least one domain among a frequency domain, a time domain, and a time-frequency domain;
- and
- performing neuromuscular system condition evaluation by obtaining a classification result by inputting the feature vector obtained from the neuromuscular system signal into an artificial intelligence model trained by feature vectors representing characteristics of muscles.
A non-transitory computer-readable storage medium storing a computer program comprising instructions for causing one or more processors to perform neuromuscular system condition evaluation, the instructions comprising:
- obtaining a neuromuscular system signal obtained in response to electrical stimulation of a plurality of frequencies;
- obtaining a feature vector by analyzing the neuromuscular system signal in at least one domain among a frequency domain, a time domain, and a time-frequency domain;
- and
- performing neuromuscular system condition evaluation by obtaining a classification result by inputting the feature vector obtained from the neuromuscular system signal into an artificial intelligence model trained by feature vectors representing characteristics of muscles.
Dependencies are inferred from the claim text.