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.
Multichannel elctrocardiogram (MECG) signals are correlated both in spatial domain as well as in temporal domain and this correlation becomes even higher at multiscale levels. This work presents a MECG compression method in order to exploit the inherent inter-channel correlation more efficiently, using a multiscale compressive sensing (MSCS) based approach. Principal component analysis (PCA) is used...
Spatial resolution of ECG can be increased using the information available from a subset of standard 12-lead ECG. This is usually achieved by learning a model between the standard 12-lead and its reduced lead subset. Since ECG signal contains significant amount of diagnostic information, it is important to learn a model which preserves this information. In this work, a patient specific model is proposed...
In this work, multiscale principal component analysis (MSPCA) is introduced for denoising of multichannel electrocardiogram (MECG) signals. Wavelet decomposition of MECG signals segments the clinical information content at different Wavelet subbands or scales. At subband levels or scales multivariate data matrix are formed using Wavelet coefficients extracted from the same scales of MECG signals....
In this work, a novel denoising algorithm based on relative energies of Wavelet subbands and estimated noise variance is proposed for Electrocardiogram (ECG) signal. The proposed algorithm is based on Relative Energy Denoising (RED) factor which is a function of Energy Contribution Efficiency (ECE), Details Energy Contribution Efficiency (DECK) and the estimated noise variance of Wavelet subbands...
The analysis of diagnostic features such as the optic disc(OD) provides important clues for the diagnosis of various retinopathic diseases. In this paper, a wavelet based distortion measure for the optic disc (WODDM) in retinal image is proposed. The wavelet analysis shows that different subbands carry optic disc information to a different level. The distortion measure is defined as the sum of wavelet...
Multichannel electrocardiogram (MECG) signal de-noising can be described as a process of removing the clinically unimportant contents present from the signal. Higher order statistics (HOS) can help to retain finer details of an electrocardiogram (ECG) signal which can effectively reduce the noise levels in MECG signal. In this work, it is proposed to evaluate the HOS (kurtosis) in each Wavelet band...
Noise degrades the rate-distortion performance of any electrocardiogram (ECG) compression algorithm. In distortion driven lossy coding approach, the bit stream is truncated at the bit rate that corresponds to a guaranteed user defined distortion level measured using the percentage root mean square difference (PRD). In many lossy compression methods, noise filtering may be implicitly done when performing...
Measurement of quality is of fundamental importance to electrocardiogram (ECG) signal processing applications. A number of distortion measures are used for ECG signal quality assessment. A simple and widely used distortion measure is the percentage root mean square difference (PRD). It is an attractive measure due to its simplicity and mathematical convenience. But PRD is not a good measure of the...
<para> In this letter, a novel objective distortion measure is proposed for compressed electrocardiogram (ECG) signals. The measure is a weighted percentage root-mean-square difference (WPRD) between the subband coefficients of the original and compressed signals with weights equal to the multiscale entropies of the corresponding subbands. The measure appears to be a correct representation of...
In this work, we propose a wavelet-based technique for embedding medical data in a medical image. In the spectral domain, the patient data are embedded into the wavelet coefficients of the host image. A diagnostic distortion measure (DDM) has been defined to measure the visible distortions between the original image and the embedded image. The performance of the DDM has been compared with the standard...
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.