… during the process of decision tree generation. The random … A novel entropy-based
principal component analysis (EPCA) … into columns of mutually independent components [107,108]. …

… of using a robust and reliable decision tree that is more … discriminant analysis (LDA),
independent component analysis (… divided into de-noising and R wave detection of the ECG …

… or the Holter ECG monitoring system) heavily suffered from the noises. Thus, the recorded
… detection of cardiac arrhythmias by using the fuzzy decision tree.,” Artif. Intell. Research, vol. …

… Abstract: For removing noises from recorded ECG signal, adaptive notch filter (ANF) and
independent component analysis (ICA) are used in this paper. In ANF, notch filter is obtained by …

… of the ECG signal prior to analysis which is especially important in the case of long-term
recording by Holter … Kestler et al., “De-noising of high-resolution ECG signals by combining the …

… Authors have applied this filter for denoising the raw ECG signal. … Decision tree based ECG
classification was used in number … , “High resolution ambulatory holter ECG events detection-…

… It has some relationship with the decision tree algorithm but … PCA (principal component
analysis)—One of the most … We would hope a Holter ECG reviewer does not have to correct each …

… Holter technology is gradually improved. Multi-screen editing and modification of … sub-decision
trees, put this data into each sub-decision tree, and each sub-decision tree outputs a result…

… Holter monitor is used to record and monitor the ambulatory … the ECG signal, statistical
approaches such as independent component analysis [8] and principal component analysis (PCA…

… electrocardiography or 24 h ECG Holter setups typically include 1–3 leads … independent
component analysis based techniques, such as constrained Independent Component Analysis …