Fraden J
Biotelem Patient Monit. 1979;6(4):207-21.
The difference in statistical characteristics between physiological signals and noise creates the possibility of designing a selective circuit to separate signals from noise. Analysis shows that by an extremely low signal-to-noise ratio before the pulse conditioner in a biotelemetry system, the mixture of normal and spurious pulses are present at the demodulator input. The system of noise destruction analyzes the sequential distances between two following pulses and blanks all spurious pulses using the criteria of high autocorrelation of physiological signals in short intervals. Evaluation of the circuit demonstrates a dramatic increase in accuracy in the presence of strong interference because the system of noise destruction performs a linear extrapolation of free-of-noise parts of pulse flow into destroyed spaces. The equations to calculate selective thresholds and output errors are delineated. The noise destructor is especially useful in long-term monitoring and automatic data analysis because it prevents a formation of sharp noisy spikes at the biotelemetry system's output.
生理信号与噪声在统计特性上的差异使得设计一个用于从噪声中分离信号的选择性电路成为可能。分析表明,在生物遥测系统中,脉冲调节器之前的信噪比极低,解调器输入端存在正常脉冲与伪脉冲的混合。噪声消除系统分析两个相邻脉冲之间的顺序距离,并利用生理信号在短时间间隔内的高自相关性标准屏蔽所有伪脉冲。对该电路的评估表明,在存在强干扰的情况下,精度有显著提高,因为噪声消除系统对脉冲流中无噪声部分进行线性外推,以填补被破坏的部分。文中给出了计算选择性阈值和输出误差的公式。噪声消除器在长期监测和自动数据分析中特别有用,因为它可防止生物遥测系统输出端形成尖锐的噪声尖峰。