摘要
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。
The traditional pulse detection method must be improved to detect the heart rate of a moving body in real time. A frequency based discrete Fourier transforms (DFT) algorithm, an improved Gerzel algorithm, is introduced to analyze the signals in the frequency domain. The method can overcome disturbances and decrease the length of the pulse packet that must be given to the DFT algorithm which reduces the calculation time. The pulse wave can be detected using a near infrared sensor and analyzed using by an 8 bit EPSON microprocessor. The system has been used to detect the heart rate at a moving body in real time with better results than traditional methods.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2002年第3期321-324,共4页
Journal of Tsinghua University(Science and Technology)
