基于STM32的脑卒中早期症状检测与预警系统
Early Symptom Detection and Warning System for Stroke Based on STM32
范洁润 1刘耀聪 1刘炜杰 1朱彦兆 1谢培权1
作者信息
- 1. 广东海洋大学,广东 湛江 524088
- 折叠
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.
Abstract
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.
关键词
脑卒中/检测/预警Key words
stroke/detection/early warning引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据