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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。
In this paper, we design an integrated chip with MAX30102 blood oxygen saturation and heart rate sensor, nRF52832 microprocessor-based wearable oxygen saturation detection system. Make full use of the system design MAX30102 photoelectric reflective oxygen sensor set photoelectric transmitter and receiver, digital-analog conversion, data filtering as a whole, nRF52832 Cortex-M4F microprocessor integrated hard FPU unit and a variety of wireless communication protocol advantages and improve the detection Module anti-interference ability and system speed and signal processing capabilities, reducing system development time and system power consumption, providing intelligent platform for multi-platform support. In the system of signal processing algorithms, a variety of filtering algorithms are designed to compare and select the best performance for the system Dtrend de-trending algorithm to consider the baseline drift and motion artifact interference in order to achieve a more accurate wearable Design of the oxygen saturation detection system.