為準(zhǔn)確實(shí)時地檢測出運(yùn)動過程中人體的心率值, 改進(jìn)傳統(tǒng)的心率計算方法是非常必要的。文中介紹了基于頻域計算的離散Fourier 變換(DFT ) 算法—— 改進(jìn)的戈澤爾算法, 實(shí)現(xiàn)了時域信號的頻域分析。它克服了運(yùn)動過程中所帶進(jìn)的干擾、減少了必須用于DFT 算法計算所需的脈搏包絡(luò)的數(shù)據(jù)長度和DFT 所需的時間。文中還介紹了使用近紅外光傳感器檢測脈搏波的方法, 以及算法在8 bit 的EPSON 單片機(jī)上的實(shí)現(xiàn), 并研制出了原型樣機(jī)用于實(shí)際的檢測。結(jié)果表明系統(tǒng)在實(shí)時脈搏檢測上得到了比傳統(tǒng)脈搏檢測方法更
好的效果。
關(guān)鍵詞: 心率; 戈澤爾算法; 離散傅立葉變換; 近紅外光
Abstract: The tradit ional pulse detection method must be imp roved to detect the heart2rate of a moving body in real time. A frequency2based discrete Fourier transfo rm s (DFT) algo rithm, an imp roved Gerzel algo rithm, 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 algo rithm which reduces the calculation time. The pulse wave
can be detected using a near infrared senso r and analyzed using by an 82bit EPSON m icrop rocesso r. The system has been used to detect the heart2rate at a moving body in real time w ith better results than traditionalmethods.
Key words: heart2rate; gerzel algo rithm; DFT; near infrared