7 results about "War injuries" patented technology

The present application relates to the field of clinical medical technology, in particular to an intelligent hemostasis system and method; the present application collects blood pressure, heart rate, hemostasis pressure, patient body data and patient wound data through a hemostasis device, and constructs a hemostasis time-pressure prediction model through a differential evolution algorithm and a WaveNet model, so as to realize prediction of a relationship curve between hemostasis pressure and hemostasis time; through the relationship curve, the hemostasis device can adjust the pressure applied by the hemostasis device as needed, so as to avoid problems such as excessive hemostasis pressure of a tourniquet, excessive hemostasis time leading to necrosis of a limb or a local part under pressure, and poor hemostasis caused by too small pressure in a war injury treatment process.

This invention provides a general-purpose robotic wounded soldier for combat trauma training, belonging to the technical field of combat trauma training models. It includes: a robotic wounded soldier model; a human-computer interaction system for presetting initial combat trauma states; a wound simulation control module that generates query strings containing location, type, severity, and duration based on the preset states, calls a wound simulation knowledge graph to match corresponding wound state nodes, thereby obtaining descriptions of skin appearance, skeletal movements, language behavior, and physiological data, and uses this to drive the model to perform real-time morphological and appearance simulation, real-time voice output, and physiological data numerical output; and a training interaction module that collects real-time data on treatment actions and on-site environmental conditions, inputs this data into a state transition decision tree model integrating the influence of environmental and treatment conditions, and generates new wound state nodes that conform to the laws of medical evolution. This invention can accurately and in real-time simulate the physiological reactions and wound changes of wounded soldiers based on dynamic battlefield environments and treatment operations.

This invention discloses a multimodal information-driven method for dynamically generating battlefield injuries, relating to the field of battle damage assessment technology. The method includes: using a public dataset, performing 3D reconstruction using 3D modeling software or specialized biomechanical software, simplifying organs into sets of polygonal facets; converting the human body model and fragment trajectories to the same global coordinate system, and performing intersection calculations for each fragment trajectory with hundreds or even thousands of polygonal facets representing different organs; inputting explosion parameters, fragment parameters, human posture, and explosion scene information; calculating shock wave and fragment field parameters; performing accelerated intersection detection to obtain which facet of which organ was hit, as well as the remaining velocity and angle at the time of impact; for each hit organ, calling its specific kill criterion for calculation, and outputting the final result according to the highest AIS level or overall damage level. This method can provide accurate and realistic injury support for combat-oriented first aid training.

This invention relates to the field of trauma area recognition technology, specifically to a patient trauma area recognition and classification system for refined combat wound care. The invention obtains hepatic and renal tracing speckle image patches for each liver capsule boundary exploration point; based on the positional change characteristics of matching regions in different adjacent frames and different tracing speckle image patches, as well as the local geometry of each liver capsule boundary exploration point, the hepatic tangential velocity and renal tangential velocity of each liver capsule boundary exploration point in different frames are obtained; furthermore, the viscous drag ring area and depth tissue slip noise floor of each liver capsule boundary exploration point are obtained, and the fluid slip ratio is obtained; combining the grayscale features of different pixels in the first frame image and the photometric difference features of the matching region, the trauma area is identified and classified. This invention accurately identifies and classifies trauma areas by combining morphological and mechanical analysis of grayscale features and fluid slip ratio.