The present invention relates to needle electromyogram inspection result analysis apparatus and method for diagnosing a neuromuscular disease, which can learn and analyze a needle electromyogram inspection result using a machine learning technology to be capable of diagnosing a neuromuscular disease of a diagnosis target person from the needle electromyogram inspection result. The apparatus comprises: a learning data collection unit collecting and storing a plurality of needle electromyogram inspection results of patients with different neuromuscular diseases and normal persons; a needle electromyogram inspection unit acquiring and supplying the needle electromyogram inspection result of the diagnosis target person; a preprocessing unit removing noises included in the needle electromyogram inspection result acquired through the learning data collection unit or the needle electromyogram inspection unit; a learning unit generating a plurality of learning data sets based on the needle electromyogram inspection result acquired through the learning data collection unit and making a machine learning model repetitively learn correlations between the needle electromyogram inspection result and the neuromuscular disease through the plurality of learning data sets; and an analysis unit analyzing and informing the kind of neuromuscular disease corresponding to the needle electromyogram inspection result acquired through the needle electromyogram inspection unit using the machine learning model.
Needle EMG data analysis apparatus and method for detection of neuromuscular disease