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 paper, we proposed a novel biometric identification system which can extract more distinguishable features from the ECG signal. Based on the reference point detection, piecewise correction method was used to solve the problem of heart rate variability (HRV). Besides, we used some details of parts of the wavelet coefficient structure to reconstruct more distinguishable signal. At last, the...
In this paper, we present a practical Electrocardiogram-based (ECG) human authentication method which is very suitable for deployment in mobile devices like smart phones. A user only needs 20 seconds to register his ECG template at the first time and about 4 seconds to authenticate afterwards. We firstly extracted heartbeats of every cardiac cycle and then separately corrected PQ segments, QRS segments...
In this paper, a new method for ECG biometric recognition using a hierarchical scheme classifier is presented. The integral process of the method is introduced, including preprocessing, feature extraction and classification. To achieve a better performance of proposed method, cross-validation is applied to determine the parameters in the classifier. As a result, proposed method offers considerably...
ECG signal quality is of great importance to real-time electrocardiogram(ECG) monitoring system. The paper introduces a new algorithm to evaluate the ECG signal quality. This algorithm is based on three features: heart rate score, spectral distribution ratio, and the variance between 12-lead ECG data. The result show that the proposed algorithm has a high Sensitivity of 95%, Specificity of 86.7%,...
Electrocardiogram (ECG) can be used in clinical diagnosis for cardiac function. Also, because individuals have different ECG traces, therefore, they can be acquired as promising biometric features for human identification. Data for experiment in this paper were chosen from MIT-BIH Arrhythmia Database. Lead I ECG traces of 33 normal individuals were used. QRS complexes were extracted from filtered...
Turning non-autonomic ventricular cells into pacemaking cells is believed to hold the key for making a bio-pacemaker that could potentially treat patients with cardiac conduction diseases. In this article, we analyze the effects of various membrane ion channel currents on ventricular automaticity induced by reducing the inward-rectifier K+ current (IK1). It was found that the L-type calcium current...
With the developing trend of healthcare monitoring instruments becoming miniaturized and intelligent, more and more embedded healthcare monitoring devices are being used in hospitals. It is necessary to develop an integrated management platform for a variety of monitoring data. This paper presents a software application tool to manage multiple physiological parameters monitor data including Holter,...
This paper proposes a wireless physiological multiparameter monitoring system based on mobile communication networks, which are made up of frontend mobile monitoring equipment, mobile monitoring center and hospital central management system. The front-end mobile monitoring equipment, which integrates mobile communication module, is used to continuously acquire the patients' physiological signals including...
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.