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Over the years, several QRS complex detection algorithms have been proposed with different features, but the remaining problem is their implementation in low-cost portable platforms for real-time applications, where hardware resources are limited, still providing the accuracy level required for medical applications. The proposed algorithm copes at the same time with both requirements: 1) accuracy...
ECG analysis represents a key way of determining the condition of a patient's heart and the accurate detection of the R-peak in the QRS complex of an ECG signal is one of the most important steps for proper diagnosis. In this paper we present R-READER: a Rapid-Ramp Effective Algorithm for Detection of ECG R-peaks; it uses the slopes between adjacent signals to determine the occurrence of the R-peak...
The algorithm that can discriminate shockable (ShR) and nonshockable (NShR) rhythm automatically, accurately and timely is critical for Automatic External Defibrillators (AEDs). In this paper, an algorithm based on slope variability is proposed. The algorithm was validated by the CU Database, MIT Database and the files 7001-8210 of the AHA Database, and was evaluated by five parameters: the sensitivity,...
A key component in automatic external defibrillator (AED) is to discriminate ventricular fibrillation (VF) from non VF by means of appropriate detection algorithms, which should have a high detection quality, be easily implementable, and work in real time. In this study, we presented a novel and computationally simple algorithm for VF detection using sample entropy (SampEn) method. To evaluate the...
Many methods are used for analyzing ECG signal to predict cardiac events. The most recent suggested method is T-wave alternans. TWA refers to beat-to-beat variations of T-wave. This alternans is used as a predictor of mortal arrhythmia and sudden cardiac death (SCD). In this paper, we presented a new time domain approach based on searching local maxima after S location. Using an adaptive threshold,...
Computer assisted analysis of ECGs has recently experienced a remarkable revival due to its increased importance as biomarker in clinical trials. Especially 12-lead 24 h Holter-recording is nowadays routinely applied. But how accurate is the automatic computer analysis of 12 lead Holter recordings? While there are several data bases to evaluate the performance of 2-lead Holter algorithms, e.g., MIT-BIH,...
In this study, an effective methodology for segmenting the temporal trace of phonocardiographic signals (PCG) is presented. Initially, inter-beat segmentation is carried out using the DII lead of the ECG recording for locating the occurrence of the first heart sound (S1). Next, the intra-beat segmentation is achieved by using recurrence time statistics (RTS), which is sensitive to changes of the reconstructed...
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