A kind of evaluation method and system of stroke early warning system

Abstract

The invention belongs to the technical field of medical early warning, and discloses a stroke early warning system and method. The stroke early warning system includes: an image acquisition module, a physiological index acquisition module, a main control module, an image processing module, a risk assessment module, an alert module, and a data storage module, display module. The invention can solve the automatic identification and segmentation of the cerebral ischemic region in the hyperacute stage through the image processing module, and improve the segmentation accuracy of the ischemic region; through the risk assessment module, according to data preprocessing, feature selection, and feature optimization, the obtained data features are more accurate. Effective; the XGBoost method is used to automatically generate the risk probability of stroke in the target population, which can conduct community health census more efficiently and conveniently, and help doctors to assess the stroke risk of the target population more simply and quickly; it can effectively promote the health census to Find potential stroke users faster, remind them earlier, and treat them earlier and more effectively.

Description

technical field [0001] The invention belongs to the technical field of medical early warning systems, in particular to a stroke early warning system. Background technique [0002] "Stroke", also known as "stroke" and "cerebrovascular accident", is an acute cerebrovascular disease, a group of diseases that cause brain tissue damage due to sudden rupture of blood vessels in the brain or blockage of blood vessels that prevent blood from flowing into the brain. Includes ischemic and hemorrhagic stroke. The incidence of ischemic stroke is higher than that of hemorrhagic stroke, accounting for 60% to 70% of the total stroke. Occlusion and stenosis of the internal carotid artery and vertebral artery can cause ischemic stroke, most of which are over 40 years old, more men than women, and severe cases can cause death. Mortality from hemorrhagic stroke is high. According to the survey, stroke has become the number one cause of death in my country combined in urban and rural areas, ...

AI Technical Summary

Problems solved by technology

[0004] (1) The existing stroke image processing has low accuracy, large errors, and inaccurate monitoring. The risk of stroke cannot be assessed in time, resulting in inability to treat it in time

[0005] (2) The currently used medical imaging equipment has certain acquisition errors when collecting images of the user's cerebral blood vessels, and the quality of the final reconstructed image is low, which has a negative impact on the diagnosis of the user's condition

(3) At present, the influence of the filter on the collection of EEG data is serious, and it is difficult to avoid high-frequency noise in the signal. The gray level error of the existing display screen is relatively large, and the display brightness is uneven, which is not conducive to data collection. Observed

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