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为准确实时地检测出运动过程中人体的心率值 ,改进传统的心率计算方法是非常必要的。文中介绍了基于频域计算的离散 Fourier变换 (DFT)算法——改进的戈泽尔算法 ,实现了时域信号的频域分析。它克服了运动过程中所带进的干扰、减少了必须用于 DFT算法计算所需的脉搏包络的数据长度和 DFT所需的时间。文中还介绍了使用近红外光传感器检测脉搏波的方法 ,以及算法在 8bit的 EPSON单片机上的实现 ,并研制出了原型样机用于实际的检测。结果表明系统在实时脉搏检测上得到了比传统脉搏检测方法更好的效果
In order to accurately and accurately detect the heart rate of the human body during exercise, it is necessary to improve the traditional method of heart rate calculation. In this paper, discrete Fourier transform (DFT) algorithm based on frequency domain calculation - improved Goertzel algorithm is introduced, and the frequency domain analysis of time domain signal is realized. It overcomes the disturbances introduced during motion and reduces the data length and DFT time required for the pulse envelope required for DFT algorithm calculations. The article also introduced the use of near infrared light sensor detection pulse wave method, and the algorithm in 8bit EPSON SCM implementation, and developed a prototype for the actual test. The results show that the system in real-time pulse detection than the traditional pulse detection method is better