Objective In the paper, the HHT method is adopted to deal with the wrist pulse signals collected from patientbodies. Methods nonlinear and nonstationary series can be decomposed by using the empirical mode decompositionmethod (EMD) into a number of intrinsic mode function (IMF) components. These components are transformed into thoseexpressions called HH spectra which exhibit the amplitude-frequency-time distributions of the data, and then the marginalspectra are obtained by integrating the HH spectra with respect to time. This is a new and applicable time series analysismethod based on mode decomposition. Results A time series constructed from a set of standard cyclic functions isfirst treated with using the EMD method to verify the applicability and effectiveness. And then, two pulse signals, onefrom a healthy person and the other from a patient suffering from the coronary heart disease are decomposed and theirresults are discussed. Conclusion The HHT method has broad prospects in the biomedical engineering and bioinformaticsapplications.