FBG heart sound monitoring system applied in intelligent clothing was present and data Acquisition and analysis platform were built. Based on experiments, parameters of the eemd were determined. The heart sound signal was decomposed into 14 IMFs which were checked physical significance at the 0.01 significance level. Those IMFs which contain heart sound, heart rate and breath sound information were chosen and HHT was used to get the envelope. The parameters, such as the durations of the first and second heart sound, heart rate, breath rate were achieved. Experiments results show that the system can monitor some human physiological parameters when the human was still.
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