The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Traditional time-frequency (TF) signal representations are not appropriate for parametric analysis of most real world signals. In this study, we describe adaptive time-frequency distribution (TFD) as a robust approach to TF signal decomposition for non-stationary signal processing. This approach has not been utilized for TF signal analysis other than feature extraction. We introduce T wave alternans...
Extraction of the fetal electrocardiogram (FECG) from the mixture of maternal electrocardiogram (MECG) and noise is an important but hard task. The electrocardiograph (ECG) signal presents non-stationary. In this work, a two stage method is proposed based on time frequency blind source separation and wavelet de-noising to extract FECG. In the first stage the recorded signals from the electrodes of...
This work describes a preliminary study based on a time-frequency analysis tool, the Hilbert-Huang transform, which can be applied to the analysis of signals deemed, to some degree, nonstationary and nonlinear. Through implementation in a software programming environment and testing on a sample of patient data sets, we demonstrate the potential of this technique. Its ability to naturally decompose...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.