Intelligent traditional Chinese medicine comprehensive diagnosis and treatment system based on deep learning
A deep learning and diagnosis and treatment system technology, applied in the field of telemedicine, can solve the problems of diagnosis, single function, promotion, popularization and application of patients who do not cooperate with inspection, auscultation and interrogation, so as to facilitate personal information management and reduce effect of error
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
specific Embodiment approach
[0036]Subsequently, the above-mentioned subsystems work in coordination to realize the remote diagnosis and treatment of the four diagnoses of "look, smell, ask, and feel". The specific implementation is as follows:
[0037] The observation collection subsystem and the comprehensive analysis subsystem work in coordination to realize "observation" which is one of the four diagnostic methods of traditional Chinese medicine, including the following steps:
[0038] a. Video signal acquisition. The camera is used as the video acquisition device, and the lighting system is controlled by the computer to provide a stable light source, so as to realize the video image acquisition of the patient's body and parts.
[0039] b. Video signal processing. After the computer receives the video signal from the camera, it first intercepts the images of key parts such as the face and tongue without affecting the subsequent processing, and then uses the related video and image recognition algori...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com