Muscle disease assessment method and system and electronic device

Abstract

The invention relates to a muscle disease assessment method and system and an electronic device. The muscle disease assessment method includes the steps: a driving passive motion of a subject by external driving, and acquiring a motion angle of the subject; b acquiring dynamic change of detected skeletal muscle without the motion angle by the aid of an ultrasonic shear wave elasticity imaging technique, and extracting elasticity measurement data of the dynamic change; c extracting a corresponding relationship between elasticity modulus of the detected skeletal muscle and a joint angle from theelasticity measurement data, and taking the corresponding relationship between the elasticity modulus and the joint angle as characteristics to make a data set; d building a probabilistic neural network model, inputting the data set into a probabilistic neural network to perform training, and outputting a muscle disease of the subject and categories of the muscle disease by the probabilistic neural network. According to the method, by the aid of the artificial intelligence neural network, classification results are more reliable, generalization ability is better, and a new method is providedfor assessment of muscle diseases.

Description

technical field [0001] The application belongs to the technical field of biological signal processing, and in particular relates to a muscle disease assessment method, system and electronic equipment. Background technique [0002] Muscular disorders generally refer to disorders of the skeletal muscles. Skeletal muscle is the main organ that performs body movement and is also an important organ for energy metabolism. There are more than 600 muscles in the human body, and their weight accounts for about 40% of the adult body weight. Non-inflammatory diseases that originate at the skeletal muscle or neuromuscular junction, referred to as myopathy. The main manifestations are decreased or disappeared muscle contractility and muscle atrophy. Muscle diseases include myasthenia gravis, progressive muscular dystrophy, and periodic paralysis. [0003] At present, the clinical evaluation of muscle diseases basically depends on the doctor's personal experience, electrophysiological ...

AI Technical Summary

Problems solved by technology

Compared with other detection methods, MRI requires higher patient compliance, because it requires patients to maintain a fixed position for a certain period of time, the imaging speed is slower, and there is greater noise during the detection process.

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