
The theories of empirical mode decomposition (EMD) and instantaneous frequency solution which are two parts of Hilbert-Huang Transformation (HHT) are discussed in the paper. We are focus on using the EMD to electrocardiogram (ECG) which can be decomposed into a limited number of intrinsic mode functions. Different thresholds are used to treat intrinsic mode function to achieve de-noising and then compared with the effect of wavelet transform de-noising. Hilbert-Huang Transform is demonstrated to be effective in removing the general noise of ECG.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
