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基于STM32的脑卒中早期症状检测与预警系统OA

Early Symptom Detection and Warning System for Stroke Based on STM32

中文摘要英文摘要

随着我国人口老龄化进程的加剧,老年人脑卒中问题已成为严重的公共卫生问题.文章设计了一种基于STM32 的脑卒中早期症状检测与预警系统,并通过实验验证了其有效性和可行性.在不影响老年人正常生活的情况下,系统通过采集老年人脑卒中相关身体指标和检测老年人姿态动作,判断是否有中风发生,并及时地向子女发送警告信息和建立通话渠道,使子女做出较为准确的判断,为及时送医争取时间.

With the intensification of China's aging population,stroke among the elderly has become a serious public health problem.It designs a stroke early symptom detection and warning system based on STM32,and verifies its effectiveness and feasibility through experiments.Without affecting the normal life of the elderly,the system collects physical indicators related to stroke in the elderly and detects their posture and movements to determine whether a stroke has occurred.It promptly sends warning messages and establishes communication channels to children,enabling them to make more accurate judgments and strive for time for timely medical treatment.

范洁润;刘耀聪;刘炜杰;朱彦兆;谢培权

广东海洋大学,广东 湛江 524088

计算机与自动化

脑卒中检测预警

strokedetectionearly warning

《现代信息科技》 2024 (013)

186-190 / 5

广东海洋大学创新创业训练计划项目资助(CXXL2023189)

10.19850/j.cnki.2096-4706.2024.13.037

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