摘要
该文提出一种基于MPU6050的老年人跌倒监测系统。该系统采用MPU6050传感器和STM32微处理器,并通过蓝牙4.0设备将跌倒信息传输到智能手机,手机进行语音报警并将GPS信息通过短信形式通知家人和医院。为区分跌倒事件和日常生活行为,该文设计了一种基于三轴加速度和角度的两次阈值判别算法。实验结果显示:跌倒监测系统能够有效监测跌倒事件并报警,准确率达95%,具有较高的稳定性和可靠性。
This paper proposes a faling detection system based on MPU6050 senor. The system consists of a MPU6050 sensor, a STM32 MCU and a set of Bluetooth 4.0 device： colecting and parsing the faling data, transferring the result to a smartphone, the smartphone： receiving the result, alarming the elder’s family and hospital. This paper presentes a new judging algorithm based on the threshold of three-axis acceleration and angle deviation of body, in order to differentiate AF and normal daily activity. The result proves that the accuracy of the system is higher than 95%, which strongly highlight the robustness and reliability.
出处
《中国医疗器械杂志》
CAS
2015年第5期327-330,共4页
Chinese Journal of Medical Instrumentation
基金
中南民族大学中央高校基本科研业务费专项资金项目(CZQ12013
CZY14017)
关键词
跌倒监测
MPU6050
阈值
加速度
角度
faling monitoring
threshold value
three-axis accelerometer
angle
