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Capturing Physiological Signal by Using Micro Biomedical Device

机译:通过使用微生物医学装置捕获生理信号

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The Photoplethysmographic (PPG) sensing module uses optical signals to measure pulse rate (PR) and blood oxygen concentration (SPO2). This paper designs a system that can measure human physiological signals, analyze in real time, and display the graph and store the data. Since the use of PPG is very convenient, it is not easy to make mistakes in use. Moreover, the PPG signal is related to the ECG signal, so the use of PPG to replace the traditional ECG device greatly improves convenience and can reduce costs. The signal measured by the PPG module is a time domain signal waveform. After Fourier transform, the original time domain signal can be converted into a frequency domain signal, and the power spectral density (PSD) of the original signal can be obtained. Because the low frequency (LF) and high frequency (HF) components of PSD are related to sympathetic and parasympathetic activity, respectively, and the ratio of LF to HF represents the autonomic nervous system (ANS) parameters. Therefore, by subdividing these parameters, the characteristics of the physiological signal can be captured.
机译:光电溶血(PPG)感测模块使用光信号来测量脉搏率(PR)和血氧浓度(SPO2)。本文设计了一个可以测量人类生理信号,实时分析的系统,并显示图表并存储数据。由于使用PPG非常方便,因此在使用中犯错是不容易的。此外,PPG信号与ECG信号有关,因此使用PPG以更换传统的ECG设备大大提高了方便,可以降低成本。由PPG模块测量的信号是时域信号波形。在傅立叶变换之后,可以将原始时域信号转换为频域信号,并且可以获得原始信号的功率谱密度(PSD)。因为PSD的低频(LF)和高频(HF)分别与交感神经和副交感神经活动有关,并且LF至HF的比率代表自主神经系统(ANS)参数。因此,通过细分这些参数,可以捕获生理信号的特征。

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