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Apparatus and method for analogizing EMG data based on Artificial Neural Networks
Apparatus and method for analogizing EMG data based on Artificial Neural Networks
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机译：基于人工神经网络的肌电数据模拟装置及方法
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摘要
The present invention relates to an artificial intelligence network-based EMG analysis apparatus and method, This includes a data collection unit that collects EMG data of multiple patients in the form of electrical signals and audio signals, classifies and stores EMG data according to disease names; A MUAP analysis unit extracting a MUAP pattern in which an interference pattern does not occur from the EMG data, and calculating visual and auditory variables of the MUAP pattern; Obtaining a first MUAP analysis result corresponding to each of the EMG data stored in the database through the MUAP analysis unit, and generating a plurality of learning data having a disease name as an output condition with the first MUAP analysis result as an input condition. A learning data generation unit; An artificial intelligence network learning unit for learning a correlation between the MUAP analysis result and the disease name in the artificial intelligence network through the plurality of learning data; An electromyography unit for acquiring EMG data of a subject to be examined in the form of an electrical signal and an audio signal; And a diagnostic unit for obtaining a second MUAP analysis result corresponding to the EMG data of the test subject through the MUAP analysis unit, and predicting and reporting a disease name corresponding to the second MUAP analysis result through the artificial intelligence network. have.
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