Human muscle sound signal prediction method based on random vector functional connectivity network technology
A technology of connecting networks and random vectors, which is applied in the field of signal processing, can solve the problems of incomplete denoising of muscle sound signals, high complexity, and low accuracy of prediction algorithms, and achieve strong network generalization performance, high accuracy, and learning speed fast effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0091] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:
[0092] Such as figure 1 As shown, a kind of human muscle sound signal prediction method based on random vector functional connectivity network technology described in the present invention comprises the following steps:
[0093] The first step is the acquisition of human muscle tone signals.
[0094] Collect and save the acceleration signal of the wearable muscle sound signal sensor in the human elbow muscle, and obtain the acceleration information of the human elbow muscle in the three directions of x-axis, y-axis and z-axis from the 1st moment to the 3000th moment, and form 3 groups of lengths Both are muscle sound cent signals of 3000, recorded as:
[0095]
[0096] The second step is the integration of muscle sound signals: t...
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