The Measurement of ECG Spectral Energy Using Fast Fourier Transform：A Study Case of MIT ECG Database

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In this thesis, the spectral energy computations and analyses of the ECG signals collected by the MIT ECG database are performed. Furthermore, the so called spectral energy ratio (SER) theory proposed by the pioneering work of scientific Chinese Medicine, the book “The Science and Technology in Acu-puncture and Moxibustion (針灸科學與技術)”, is used for comparison and verification. In this thesis, we use fast Fourier transform to convert the ECG signals into frequency domain. Then, the energy below and beyond the crossover frequency will be accumulated to compute the spectral energy ratio. The results will be adopted to verify the theory in [1]: the spectral energy ratio of a healthy people is supposed to larger than 100.