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- W2897046387 abstract "Heart Rate Variability(HRV), which can be defined merely as an investigation of the deviation in a time interval of RR between successive cardiac beats(recordings consist of 21326 normal beats event and 6899 apnea beats event) in time duration about 20 minutes ECG-Apnea signal. An Electrocardiogram(ECG), which more information dynamic features, can generate from the extraction process. This paper presents a feature extraction technique in HRV where ECG signal extraction is considered essential to obtain statistical and geometrical HRV for each recording. Dynamic features derived from ECG using two components, HRV analysis, and DFA, were deeply examined and validated its effectiveness to distinguish apnea from the normal signal. Before commencing feature extraction, the ECG signal which is still contaminated by noise needs to be eliminated using pre-processing in the form of noise suppression, and baseline wander removing. Experiment results indicate that suitable for recognizing detail extraction of ECG-Normal and ECG-Apnea events." @default.
- W2897046387 created "2018-10-26" @default.
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- W2897046387 date "2018-03-01" @default.
- W2897046387 modified "2023-10-16" @default.
- W2897046387 title "An Investigation of Dynamic Features Influence in ECG-Apnea Using Detrended Fluctuation Analysis" @default.
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- W2897046387 doi "https://doi.org/10.1109/icoias.2018.8493925" @default.
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