6results about How to "Radiation-free" patented technology

The invention discloses a scoliosis evaluation system and device based on multi-modal information fusion, and belongs to the field of spine health. A back pressure electromyographic signal acquisition module acquires stress electromyographic information of a back muscle group; the thermal imaging module obtains a thermal imaging information graph of a human body; the plantar pressure acquisition module acquires plantar pressure information; the multi-mode data fusion module inputs the stress myoelectricity information, the thermal imaging information graph and the plantar pressure information into the encoder layer, a cross attention mechanism is adopted in the feature matching layer to fuse features from different modules, a classifier model is used for scoliosis evaluation, and classification is conducted according to the scoliosis degree. According to the application, the collaborative mechanism of the stress myoelectricity information, the thermal imaging information graph and the plantar pressure information of the back during scoliosis is utilized, multi-modal data fusion is performed on the stress myoelectricity information, the thermal imaging information graph and the plantar pressure information of the back, full-automatic evaluation is realized through a multi-modal data fusion model, the evaluation accuracy is high, and no radiation is generated.

The utility model discloses a near-infrared transmission and reflection mode fusion imaging system. The imaging system comprises an illumination system, a data acquisition system and an information processing system which are connected in sequence, the lighting system comprises a laser; the data acquisition system is used for acquiring near-infrared image information of a test object; and the information processing system is used for providing an image processing and analysis algorithm so as to analyze the near-infrared image information. According to the utility model, on the basis of near-infrared transmission and reflection mode fusion imaging technology, bone defect detection of a position point of the oral implant and the periphery of the implant is realized; based on selection of the near-infrared light source and the near-infrared detector suitable for the oral cavity, clear images can be obtained in the oral cavity environment.

The invention relates to the technical field of conductive paste, and provides intelligent temperature control graphene-based conductive paste and a preparation method and application thereof. According to the invention, the thermal resistance agent is added into the conductive slurry, so that the effect of automatic temperature control can be achieved, the electrically-induced heating flexible device is always kept within a certain temperature range, and the safety problem of the electrically-induced heating flexible device is solved. The intelligent temperature-control graphene-based conductive paste provided by the invention is good in safety, a printed matter printed by using the intelligent temperature-control graphene-based conductive paste cannot generate an overheating phenomenon, the dispersion stability is good, the off-network property is good during printing, large-size and large-scale integrated printing can be realized, and an obtained printed coating has good stretchability, electric conductivity and heat conductivity; the method has a wide application prospect in the field of electrically-induced heating flexible devices.

The invention discloses a function detection system and a function detection method for ocular nigra dopaminergic neurodegeneration. The optical vision equipment stimulates the eyes of the tested object before and after the specific condition that the dopamine level in the tested object is improved, and meanwhile, a stimulation index is recorded; the fundus blood flow detection equipment is used for detecting and recording fundus blood vessel and blood flow parameter change information of the tested object before and after in-vivo dopamine level improvement and before and after visual stimulation so as to generate a blood flow index; the signal processing equipment receives and processes the blood flow index and the stimulation index to obtain a retina nerve blood vessel coupling function index; the computer or the chip receives the retina nerve-blood vessel coupling function index to judge the risk or the result of the brain nigra dopaminergic neurodegeneration. According to the invention, the eyes are used as a detection window, so that the brain nigra dopaminergic neurodegeneration can be rapidly and non-invasively detected, and the method has high sensitivity and specificity.

This invention belongs to the interdisciplinary field of biomedical engineering and artificial intelligence-assisted diagnosis. It discloses a training method for a SERS spectral classification prediction model and its application. The disclosed SERS spectral classification prediction model training method combines CatBoost feature selection and deep learning. First, surface-enhanced Raman spectroscopy (SERS) data of serum from different categories of subjects is collected. After baseline removal, filtering, and normalization preprocessing, CatBoost gradient boosting algorithm is used to evaluate feature importance, considering the high-dimensional redundancy of the spectral data, and to select a subset of discrete feature bands containing key biomarker information. This feature subset is then input into a one-dimensional convolutional neural network model for training. The model constructed by this invention possesses deep feature mining capabilities, and the biological interpretability of the decisions is verified through SHAP analysis. It effectively solves the problems of large spectral noise interference and difficulty in extracting weak pathological features in traditional methods. For example, it can be used for the auxiliary diagnosis of coronary heart disease, achieving non-invasive, rapid, and high-precision classification and diagnosis of coronary heart disease and its subtypes.

The utility model discloses a washing machine safety control electromagnetic lock, and particularly relates to the technical field of control electromagnetic locks, the washing machine safety control electromagnetic lock comprises a lower cover, the top of the lower cover is fixedly connected with an upper cover, one side of the lower cover and one side of the upper cover are provided with a spring bolt in a sliding mode, one side of the spring bolt is fixedly provided with a plurality of contacts, and one side of the spring bolt is provided with a limiting mechanism in a sliding mode. The limiting mechanism is fixedly arranged between the lower cover and the upper cover, the coil frame is fixedly arranged on one side of the limiting mechanism between the lower cover and the upper cover, the enameled coil is wound on the coil frame, the fixed iron core is installed on the rear side of the coil frame to increase magnetic attraction force, one end of the movable lock cylinder penetrates in from one side of the compression spring and is arranged on the spring bolt in a sleeving mode, and the movable lock cylinder is locked. When the electromagnetic coil is powered on, the spring bolt is driven to move due to the magnetic attraction force of the coil, so that the working voltage is low, the power consumption is low, high-frequency electromagnetic sound and radiation are avoided, the heating speed is low, the service life is long, the coil is effectively prevented from bursting, and the safety during use is improved.