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.
A QRS detection method is proposed based on the principal component analysis (PCA) and the combined wavelet entropy for 12-lead electrocardiogram (ECG) signals. Firstly, the base line wander and the high frequency interference are removed for ECG signals. The PCA method is employed to reduce the dimension of filtered signals. Then, the quasi-period sorting method is proposed to reorder principal components...
In order to get good fusion result for nomadic service under pervasive computing paradigm, based on our researches, we present a new approach of entropy-based wavelet filtering to do an adaptive soft process for nomadic decision, which is the good balance when considering both application quality and the PSNR criterion. Using a hard threshold-ing, a soft thresholding , MEF method, and MEF method with...
A QRS detection method based on the combined wavelet entropy (CWS) is proposed for two-channel ECG signals. The raw ECG signals from two channels are firstly transformed by the continuous wavelet transform within a selected frequency interval, which can effectively suppress the interference and only focus on the QRS component. The wavelet entropy (WS) based method is employed to analyze the ECG signal...
According to texture analysis in low frequency sub-band of DWT, an adaptive image hiding algorithm is proposed. The low-frequency part of DWT is classified as smooth, edge and texture region by entropy and standard deviation, and different regions are assigned with different hiding bits, which will increase the hiding capacity. The blind detection is accomplished by resetting low bits in DWT low-frequency...
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.