B-ultrasonic data acquisition analysis and diagnosis integrated robot and platform
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A technology for data collection and analysis and robotics, applied in the field of medical data analysis, can solve the problems of inaccurate data collection, difficulty in effective meat B-ultrasound image recognition, and difficulty in data collection, etc.
Pending Publication Date: 2020-11-24
谈斯聪
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Problems solved by technology
[0002] It is currently used in the field of health examination; in the inspection process, due to various human factors, it is difficult to effectively identify and diagnose diseases in B-ultrasound images
Low efficiency of physical examination, difficult data collection, inaccurate data collection and other issues
[0003] The result is low efficiency, time-consuming, and energy-consuming physical examination. In view of the low efficiency of physical examination, difficult data collection, and inaccurate data collection, the robot-mounted camera, B-ultrasound probe, etc. are used to intelligently monitor various aspects of the B-ultrasound abdominal cavity through medical image data. Abnormal indicators, effective identification of B-ultrasound internal diseases, B-ultrasound organ abnormalities, organ image classification, remote control, autonomous collection, intelligent identification, classification of medical data, screening of abnormal data, classification identification, intelligent feedback of abnormalities and disease results, Periodic inspection
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Embodiment 1
[0094] Such as figure 1 As shown, an artificial intelligence robot medical data collection, analysis health checkup system, the robot device includes:
[0095] The main control system 10 of the robot, the module is used to realize the main control of the robot and the camera module, the B-ultrasound image acquisition module communication, the main control system is carried with the robot arm, and the B-ultrasound inspection equipment data acquisition module communicates for the action of the robot arm Planning acquisition, communicating with the voice module, for voice interaction between the robot and the user.
[0096] Camera 20, voice module 30, B-ultrasound image acquisition module 50, medical B-ultrasound is used to collect medical images in B-ultrasound organs. and according to the machine
[0097] The arm movement planning collection module 103 and the voice module 101 guide the user, strengthen the interaction between the robot and the user, and realize intelligent c...
Embodiment 2
[0105] On the basis of Embodiment 1, several B-ultrasound positioning and identification methods are provided, such as image 3 Shown:
[0106] The patient's face recognition, external position recognition of human organs, and color mark recognition methods include:
[0107] Establish a mathematical model of human face 100, a mathematical model of individual face image recognition, extract facial features, color labels 200 and corresponding external positions of human organs 300, including features such as color, human face, joints 400, etc., and extract the position images of external human organs Feature value (mark color value, shoulder, waist, joint position of lower limbs, face), etc., input the feature value of the detection item. Improve the weight optimizer, and obtain the output value through image training. According to the output result, the position image collected from the outside of the human organ and the external position information of the organ collection a...
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Abstract
A B-ultrasonic data acquisition, analysis and diagnosis integrated robot platform is a medical big data platform system built by using an artificial intelligence robot system and a robot acquisition node such as a B acquisition device. By utilizing a robot arm and B-ultrasonic equipment carrying acquisition technology and data analysis, and in combination with a robot node communication principle,the functions of performing robot voice interaction, remotely controlling a robot arm to act for acquiring B-ultrasonic data and performing autonomous acquisition, analyzing the B-ultrasonic data andintelligently diagnosing diseases are realized; through a camera and the B-ultrasonic acquisition device carried on the robot platform, in-vitro organ position recognition is combined with internal B-ultrasonic image based internal organ recognition, so that the internal organs are positioned in a double-precision manner, B-ultrasonic images are acquired in a high-precision manner, the B-ultrasonic organ images are classified, the B-ultrasonic image abnormality is intelligently recognized, and the common diseases in the organs are intelligently diagnosed; the B-ultrasonic images are classified by using a deep neural network method and a machine learning method, and the internal organ diseases are analyzed and intelligently diagnosed; under the guidance of robot voice, medical data are acquired remotely and autonomously; and the common diseases in the organs are remotely inquired, acquired, analyzed and intelligently diagnosed, so that abnormal symptoms are effectively checked.
Description
Technical field: [0001] The invention belongs to the technical field of artificial intelligence robot health examination equipment, and relates to medical data analysis and a medical image intelligent recognition system. Background technique: [0002] It is currently used in the field of health check-ups; during the inspection process, due to various human factors, it is difficult to effectively identify and diagnose diseases in B-ultrasound images. Low efficiency of physical examination, difficult data collection, inaccurate data collection and other problems. [0003] The result is low efficiency, time-consuming, and energy-consuming physical examination. In view of the low efficiency of physical examination, difficult data collection, and inaccurate data collection, the robot-mounted camera, B-ultrasound probe, etc. are used to intelligently monitor various aspects of the B-ultrasound abdominal cavity through medical image data. Abnormal indicators, effective identificat...
Claims
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Application Information
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