… Architecture of our proposed 1D convolutional de-noising autoencoder is shown in Fig. 2. …
, “Independent component analysis and decision trees for ecg holter recording de-noising,” …

… Thus, ECG recording systems are quite popular and frequently used. Long terms recordings
of ECG signals generate a huge volume of data as these are recorded at higher data …

… As for (3) the abstraction of healthy clean the ECG signal and detection of its deviation was
made and tested in two different scenarios: presence of noise using autoencoder and fully-…

… The acquired 24-hour ECG Holter recordings from illegible … were derived from the ECGs after
the de-noising process, as … 229 models into a singular composite decision tree. Instead, our …

… based on electrocardiogram (ECG) signal analysis. Focusing … In ECG recording, battery-powered
Holter monitors were used… the recording. Most of the noise at 60 Hz was introduced in …

… It consists of microcontroller that mimics Holter device to read the ECG signal; electrodes in
the … It is based on decision tree; a data mining technique usually used for decision support …

… selection [39], and independent component analysis (ICA) [32]… de-noising and decomposing
of biomedical signals such as … in order to generate the decision tree model to identify AFib …

… Their study demonstrated that the regression trees algorithm … [71] to produce the independent
components to be part of the … transform, independent component analysis, empirical model …

… -Invariant Component Analysis (N-ICA) approach to analyze … To quantitatively measure the
effectiveness of de-noising, we … (SVM), decision tree, and naive Bayes classification to detect …

… ECG De-noising based the comparison the morphologies of deferent … ECG and the ambulatory
Holter recording, the terminology of waves and intervals used for the analysis of the ECG, …