3results about How to "Improve detection sensitivity" patented technology

The application provides a cerebral apoplexy postoperative sign monitoring system, which is fused with a nerve motor function evaluation wristband and a head-mounted brain electrical impedance dynamic imaging device, and breaks through the blind area of postoperative monitoring. The wristband device collects upper limb electromyographic signals and joint motion mechanics parameters through a microneedle electrode array and a distributed piezoresistive sensor, drives a neural network to output a standardized motor score based on time-frequency domain features containing electromyography, joint angle, trajectory smoothness and grip force change rate, and is related to a clinical Fugl-Meyer scale; the imaging device adopts a multi-ring electrode array and an improved D-bar algorithm to reconstruct a brain electrical conductivity distribution map, constructs a multi-level decision tree early warning model by extracting impedance change rate Delta Z, spatial gradient entropy SGE and hemisphere asymmetry Asym, and realizes brain edema detection. Through multi-modal data fusion and minute-level response, the system solves the fragmentation problem of postoperative monitoring and provides precise decision support for cerebral apoplexy rehabilitation.

This invention discloses a snapshot-type hyperspectral three-dimensional skin imaging method and device, belonging to the field of biomedical imaging technology. The method includes: constructing a snapshot-type spectral-light field coupled imaging system containing a light source and an acquisition model; achieving full-domain skin illumination with broadband illumination; synchronously coupling and acquiring spectral and three-dimensional spatial information through the synergistic action of a lens group and a hyperspectral sensor to generate spectral coupled light field data; establishing a correlation dataset between the spectral coupled light field image and the hyperspectral light field image; training a spectral reconstruction network and solving the data; reconstructing the hyperspectral light field image and obtaining multi-view images through macro-pixel sampling; using a light field super-resolution network to improve image resolution; selecting the optimal skin penetration band image for stereo matching to obtain a target band depth map; and fusing the high-resolution center-view images from each channel with the target band depth map to complete the generation of a hyperspectral three-dimensional image. This invention achieves single-exposure hyperspectral three-dimensional imaging of the superficial skin layer.

This invention relates to the field of industrial process control technology and discloses an artificial intelligence-based adaptive control system for industrial parameters. The system includes a deviation acquisition module, a feature compression module, a segmentation processing module, a morphology recognition module, a transition analysis module, and a parameter update module. The deviation acquisition module collects deviation signals in real time; the feature compression module performs adaptive segmentation compression on the deviation signals, outputting a sequence of non-equally spaced deviation feature points; the segmentation processing module performs quality-sensitive weighted temporal segmentation based on the process operation stage; the morphology recognition module extracts multi-scale morphological features and maps segments to deviation morphological primitive types; the transition analysis module performs path matching on the observed sequence in a probability-weighted transition graph and calculates the correction urgency; the parameter update module determines the correction vector and step size based on the matching path, and updates the process model parameters after momentum smoothing. This invention achieves early perception and progressive correction of mismatch in slow time-varying models.