摘要
本文设计了一种以MAX30102血氧饱和度和心率的集成芯片为传感器,nRF52832为微处理器的穿戴式血氧饱和度检测系统。系统设计过程中充分利用MAX30102光电反射式血氧传感器集光电发射接收、数模转换、数据滤波为一体,nRF52832 Cortex-M4F微处理器集成硬FPU单元和多种无线通信协议的优点,提高了检测模块的抗干扰能力和系统的运行速度及信号处理能力,降低了系统的开发时间和系统功耗,为系统的智能化提供多平台支持。在系统的信号处理算法上,设计了多种滤波算法进行比较,并选择了性能较优适合本系统的Dtrend去趋势算法虑除基线漂移和运动伪差干扰,以实现了更为精准的穿戴式血氧饱和度检测系统的设计。
A wearable oxygen saturation detection system was designed,which adopts an oxygen saturation and heart rate integrated chip MAX30102 as sensor and nRF52832 as microprocessor. Photoelectric reflective blood oxygen sensor MAX30102 integrates transmitter,receiver,analog to digital conversion and data filtering,and nRF52832 Cortex-M4 F microprocessor integrated hard FPU unit and a variety of wireless communication protocols. These advantages improve anti-interference capability of the detection module,and the running speed and signal processing capability of the system; it can also reduce the designing time and system power consumption,which provide multi-platform for the intelligence system. In signal processing algorithm of the system,a variety of filtering algorithms has been designed,and the Dtrend algorithm has been used to eliminate the baseline drift and motion fake interference,and the design of the wearable oxygen saturation detection system is realized.
出处
《激光与红外》
CAS
CSCD
北大核心
2017年第10期1276-1280,共5页
Laser & Infrared
基金
教育部"长江学者和创新团队发展计划"项目(No.IRT13064)
广东省引进创新科研团队计划项目(No.2013C102)
广东省科技计划项目(No.2014B090914004)
广东省科技计划项目(No.2016B090918083)
广东省引进第四批领军人才专项资金项目(2014)
深科技创新[2015]291号科技金融股权投资项目(No.GQYCZZ20150721150406)
国家高等学校学科创新引智计划111引智基地
光信息创新引智基地项目资助
