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Acupuncture and moxibustion manipulation training method based on myoelectricity

A training method, myoelectric technology, applied in the direction of electrical digital data processing, input/output process of data processing, input/output of user/computer interaction, etc., can solve problems such as inability to ensure movement norms, and achieve good training effects. Save time and improve effectiveness

Active Publication Date: 2020-05-12
BINHAI IND RES INST OF TIANJIN UNIV CO LTD
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Problems solved by technology

[0008] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide a method for training acupuncture and moxibustion manipulations based on myoelectricity, so as to solve the problem that the current acupuncture manipulation training cannot ensure the standardization of each action, and realize Portable training, trainers can carry out standardized training at any time

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  • Acupuncture and moxibustion manipulation training method based on myoelectricity
  • Acupuncture and moxibustion manipulation training method based on myoelectricity
  • Acupuncture and moxibustion manipulation training method based on myoelectricity

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings.

[0041] The acupuncture training method based on myoelectricity includes the following steps:

[0042] (1) Get data, see figure 2

[0043] a. The trainer wears 4 sichiray brand myoware EMG sensors connected to the Ardiuno development board on the elbow joint of the forearm; the trainer uses the computer to pair and connect with the Ardiuno development board through Bluetooth to ensure that the computer can receive the EMG data.

[0044] Each myoelectric sensor can obtain data of one dimension, and the data transmitted by each electrode of the four myoelectric sensors is one dimension, but the position of each electrode will change each time, so the data of each electrode only represents the current and current time. The myoelectric changes of the muscles in contact with the electrodes are comprehensively analyzed in four dimensions to identify the current action.

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Abstract

The invention discloses a training method for acupuncture and moxibustion manipulations based on myoelectricity, which solves the problem that the current acupuncture manipulation training cannot ensure the standardization of each action, and can realize portable training, and trainers can carry out standardized training at any time. The method includes the following steps: (1) acquiring data; (2) data processing; (3) establishing a neural network model; (4) performing model correction to increase the accuracy rate of different manipulations in acupuncture and moxibustion manipulations. The proposed training method is not only convenient for training, and the equipment is easy to carry, but also greatly improves the effectiveness of training, saves time, and obtains good training effects.

Description

technical field [0001] The present invention relates to the field of combination of deep learning and myoelectric medical training, and specifically relates to a myoelectric-based acupuncture manipulation training, which provides trainers with the correctness of acupuncture manipulation for learning acupuncture manipulation in traditional Chinese medicine. Background technique [0002] Deep Learning The concept of deep learning was proposed by Hinton et al. in 2006. Deep learning is a new field in machine learning research. Its motivation is to establish and simulate the neural network of human brain for analysis and learning. It imitates the mechanism of human brain to explain data. The present invention uses the DenseNet model of the MLP multi-layer perceptron version revised in deep learning. [0003] Gesture recognition based on myoelectricity Now there are myo devices abroad. The myo device uses the data of 8 electrodes for gesture recognition, but it can only recogniz...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F3/01G06N3/04G09B23/28
CPCG06F3/015G09B23/28G06F2203/011G06N3/045
Inventor 刘孟鑫陶文源翁仲铭李子祺
Owner BINHAI IND RES INST OF TIANJIN UNIV CO LTD
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