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.
In this research, the new system which can eliminate the power line interference (PLI) from the electrocardiogram (ECG) signal is proposed. The system consists of a band pass filter, an automatic gain control and an adaptive filter. With the proposed system, the varied frequency and varied amplitude of the power line interference can be significantly eliminated from the ECG signal. In addition, the...
Surface electromyograms (EMGs) are valuable in the pathophysiological study and clinical treatment. These recordings are critically often contaminated by cardiac artifact. The purpose of this article was to evaluate the performance of an adaptive filter and artificial neural network (ANN) in removing electrocardiogram (ECG) contamination from surface EMGs recorded from the pectoralismajor muscles...
It is known that ECG signal are strongly affected by the chest motion of respiration. We utilize this property and derive a respiration related signal with respect to the change of R wave area, and then match the derived signal to the time axis. We discovered that during the apnea section, a lower frequency component compared to the respiration frequency is observed. With the presence and absence...
The objective of the Smart Rollator project is to enable health care monitoring through embedding electronic sensing systems. This paper examines adding an ECG system to a rollator, designed specifically to interface with two gel-less electrodes. The focus is to develop a circuit with minimal filtering of the signal, just sufficient to extract valuable ECG information reliably using digital processing...
The electrocardiogram (ECG) is a measurement of the electrical signals associated with the heart and is a key diagnostic tool and patient monitoring device for clinicians. This work presents and compares algorithms for per cycle temporal location of the key ECG phases using 5 methods: 2 pt and 5 pt slope, correlation, wavelet analysis and empirical mode decomposition (EMD). A new wavelet algorithm...
The three major sources of noise in an ECG signal are baseline drift, powerline interference and other electromagnetic interferences. With the recent success of Wavelet transform in identifying and eliminating noise from a wide variety of signals, frequency transformation techniques are gaining more and more importance for eliminating noise from ECG signals. This paper applies S-transform in eliminating...
Electrocardiogram (ECG) is the graphical representation of heart functionality. The ECG finds its importance in the detection of cardiac abnormalities. The electrocardiographic signals are often contaminated by noise from diverse sources. It is essential to reduce these disturbances and improve the accuracy as well as reliability. The noises that commonly disturb the basic electrocardiogram are power...
This paper discusses six most frequent methods used to extract different features in Electrocardiograph (ECG) signals namely Autoregressive (AR), Wavelet Transform (WT), Eigenvector, Fast Fourier Transform (FFT), Linear Prediction (LP), and Independent Component Analysis (ICA). The study reveals that Eigenvector method gives better performance in frequency domain for the ECG feature extraction.
Recently, in order to grasp sports player's condition, his/her supervisor/coach requests to measure sports player's vital data like heart rate, momentum during training period and so on. To understand sports player's condition more accurately, using in combination several kinds of vital data is efficient. However, putting on vital sensors at two or more points provides being strained on players, and...
The paced patient population has significantly increased recently making it a priority for modern patient monitoring systems to provide accurate results for paced patients. This task has become more complicated with modern pacemaker technology and changes in the paced patient population. Certain pace pulse morphologies and paced heart rhythms demand a significant increase in the complexity of pace...
ECG signals are corrupted by various kinds of noise and artifacts that may negatively affect any subsequent analysis. In particular, narrowband artifacts include power-line interference and harmonic artifacts. Customarily, noise reduction and artifact rejection are tackled as two distinct problems. In this paper, we propose a joint approach to de-noising and narrowband artifact rejection that exploits...
The V-index is a recently-proposed metric related to repolarization heterogeneity (RH) across the myocardium, a key quantity for the development of arrhythmias. The metric is derived from multi-leads ECG recordings and this paper investigates two of its properties: i) the dependency on the lead system (Frank's orthogonal vs. 12 standard leads); ii) the influence of errors in the location of the T-end...
The foetal ECG (FECG) can be digitally extracted in real-time from non-invasive recordings using Blind Source Separation (BSS) techniques. BSS suffers the permutation ambiguity, scrambling the estimated sources over time and then hampering the FECG visual and automated analysis. In this paper a block-on-line tracking algorithm, including an unsupervised morphological stage able of creating an average...
The UP segment is the normal isoelectric reference level for ECG wave amplitude measurements but becomes obscured at high heart rates. The aim was to identify alternative reference levels suitable for use across a wide range of heart rates. 12-lead ECGs were recorded from 10 healthy subjects before and immediately following exercise. Amplitudes of the UP segment, Q wave, end of T wave (Tend) and zero...
This paper presents the use of bandwidth gap for embedding supplementary digital data into the ECG record without changing its ability to diagnose. The gap results from overestimation of the constant sampling frequency which is greater than the local bandwidth of cardiac components in large parts of the ECG record. The proposed algorithm starts with conventional beat detection and wave delineation...
In this paper we propose an iteratively regularized Gauss-Newton method to solve the inverse ECG problem and efficiently choose the parameter of regularization. The classical stopping criterium for this regularization technique — Morozov discrepancy principle, cannot be used in our application because the noise level estimate and problem model error are typically not available. We formulate the stopping...
This paper presents a real-time and memory-efficient arrhythmia detection system that uses antidictionary coding for the analysis and classification of electrocardiograms (ECGs). The measured ECG signals are encoded using a lossless antidictionary encoder, and the system subsequently uses the compression rate to distinguish between normal beats and arrhythmia. An automated training data procedure...
In this paper, a portable, easy to use, and real-time sleep stage classification device is presented. A simpler approach using raw features of ECG signals for sleep stage classification has been developed. Only one lead of ECG signal is required for operation which makes the device easily operable and only requiring user to attach 3 electrodes to the body. The device is constructed with singleboard...
In this paper we modified Fuzzy-Neuro Generalized Learning Vector Quantization for Arrhythmia heart beat detection. The original algorithm was used triangle membership function. In this research we propose another membership function is Pi membership function, the Pi membership functionis a product of sigmoid membership function and z membership function was adapted from twin sigmoid membership function...
Arrhythmia detection algorithms in Automated External Defibrillators (AEDs) need a special approval for use in children aged 0–8 years. Our aim is to establish a pediatric ECG reference dataset with rhythm annotations for the assessment of arrhythmia detection algorithms of AEDs. The database will consist of a training dataset with a public interface for end-users to optimize their algorithms and...
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.