ECG signal conditioning by morphological filtering

Sun, Yi; Chan, Kap Luk; Krishnan, Shankar

doi:10.1016/s0010-4825(02)00034-3

Cited by 200 publications

(85 citation statements)

References 15 publications

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“…Baseline wander was removed with bidirectional high pass filtering (0.5 Hz cutoff frequency) [15]. Then, high frequency noise was reduced with an eighth order bidirectional IIR Chebyshev low pass filtering (cut-off frequency of 70 Hz) [16]. Finally, mains interference was removed with a notch filter, which preserves the ECG spectral information [17].…”

Section: Paroxysmal Af Databasementioning

confidence: 99%

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Abásolo¹,

Alcaraz²,

Rieta³

et al. 2011

Biomedical Engineering

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The Lempel-Ziv (LZ) complexity is a non-linear time series analysis metric that reflects the arising rate of new patterns along with the sequence. Thus, it captures its temporal sequence and, quite conveniently, it can be computed with short data segments. In the present work, a detailed analysis on LZ complexity is presented within the context of atrial fibrillation (AF) organization estimation. As the analysed time series depend on the original sampling rate (fs), we evaluated the relationship between LZ complexity and fs. Furthermore, different implementations of LZ complexity were tested. Our results show the usefulness of LZ complexity to estimate AF organization and suggest that the signals from a terminating paroxysmal AF group are more organized (i.e. less complex) than those from the non-terminating paroxysmal AF group. However, the diagnostic accuracy was not as high as that obtained with sample entropy (SampEn), another non-linear metric, with the same database in a previous study (92% vs. 96%). Nevertheless, the LZ complexity analysis of AF organization with sampling frequencies higher than 2048 Hz, or even its combination with SampEn or other non-linear metrics, might improve the prediction of spontaneous AF termination.

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Section: Paroxysmal Af Databasementioning

confidence: 99%

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Abásolo¹,

Alcaraz²,

Rieta³

et al. 2011

Biomedical Engineering

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show abstract

“…Firstly, baseline wander was removed making use of bidirectional high pass filtering with 0.5 Hz cutt-off frequency [17]. Secondly, high frequency noise was reduced with an eight order bidirectional IIR Chebyshev low pass filtering, whose cut-off frequency was 70 Hz [18]. Finally, powerline interference was removed through adaptive notch filtering, which preserves the ECG spectral information [19].…”

Section: Methodsmentioning

confidence: 99%

A new method to assess sinus rhythm maintenance likelihood before electrical cardioversion of persistent atrial fibrillation

Alcaraz

Rieta

2007

2007 Computers in Cardiology

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For many patients in persistent Atrial Fibrillation (AF), normal sinus rhythm (NSR) restoration use to be required to reduce the risk of stroke and improve cardiac output. Electrical cardioversion (ECV) is the most effective alternative to revert AF to sinus rhythm. However, because of the high risk of AF recurrence (especially during the first 2 weeks following the procedure) and because of potential collateral effects of ECV, it is clinically important to predict NSR maintenance after ECV before it is attempted. Thereby, the aim of this work is to obtain a robust and noninvasive predictor of NSR maintenance after ECV. The organization degree of the atrial activity (AA) obtained from surface electrocardiographic (ECG) recordings was estimated using a non-linear regularity index because it can be hypothesized that AF recurrence can be greater in those patients who present a highly disorganized AA. With the proposed strategy, 90.24% sensitivity and 78.57% specificity were obtained. Therefore, therapeutic interventions for the treatment of persistent AF could be improved, since unsuccessful electrical cardioversion and the consequent risks for the AF patients could be avoided. IntroductionAtrial Fibrillation (AF) is the most commonly sustained cardiac arrhythmia in clinical practice, with a prevalence of 0.5% in the adult population [1], rising to 10% or more in those over 75 years [2,3]. This disease can be divided into different forms, namely paroxysmal AF (selfterminating within 7 days), persistent AF (interventions are required for its termination), and permanent AF (sinus rhythm cannot be restored) [2]. For many patients in persistent AF, restoration and maintenance of normal sinus rhythm (NSR) is the main therapeutic goal because symptoms, cardiac output, and exercise tolerance are improved whereas the risk of stroke is reduced [2]. Thus, the first step in the rhythm control strategy is generally cardioversion. While chemical-induced cardioversion is sometimes possible, particularly with amiodarone [4,5], it is generally more unsuccessful than electrical cardioversion (ECV), specially if the arrhythmia has been present for more than 24 hours [6]. However, because of the high AF risk of recurrence, especially during the first 2 weeks following the procedure [7] and because of the potential secondary effects of ECV [8,9], it would be clinically useful to predict NSR maintenance after electrical cardioversion before it is attempted. In this way, the risks of cardioversion could be avoided for those patients with low NSR maintenance probability, and for the health care provider, the clinical cost could be optimized because unproductive treatment time and bed usage could be reduced.To date, numerous studies have attempted to find invasive and non-invasive parameters (clinical, electrophysiological, demographic, etc.) for the prediction of electrical cardioversion outcome for AF. However, very different and, consequently, inconclusive results have been obtained [10]. Thereby, the aim of this work is to ob...

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“…The first benchmark performs three-lead morphological filtering (3L-MF) [21], which removes unwanted components from acquired ECG signals, and operates in parallel on three different input streams (Figure 5-a). When mapped on three cores, the application does not employ producer-consumer relationships, so that synchronization primitives are only used to recover lock-step execution among cores.…”

Section: Benchmarksmentioning

confidence: 99%

Hardware/software approach for code synchronization in low-power multi-core sensor nodes

Braojos

Doğan

Beretta

et al. 2014

Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE), 2014

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Abstract-Latest embedded bio-signal analysis applications, targeting low-power Wireless Body Sensor Nodes (WBSNs), present conflicting requirements. On one hand, bio-signal analysis applications are continuously increasing their demand for high computing capabilities. On the other hand, long-term signal processing in WBSNs must be provided within their highly constrained energy budget. In this context, parallel processing effectively increases the power efficiency of WBSNs, but only if the execution can be properly synchronized among computing elements. To address this challenge, in this work we propose a hardware/software approach to synchronize the execution of bio-signal processing applications in multi-core WBSNs. This new approach requires little hardware resources and very few adaptations in the source code. Moreover, it provides the necessary flexibility to execute applications with an arbitrarily large degree of complexity and parallelism, enabling considerable reductions in power consumption for all multi-core WBSN execution conditions. Experimental results show that a multi-core WBSN architecture using the illustrated approach can obtain energy savings of up to 40%, with respect to an equivalent singlecore architecture, when performing advanced bio-signal analysis.

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ECG signal conditioning by morphological filtering

Cited by 200 publications

References 15 publications

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

Lempel-Ziv Complexity Analysis for the Evaluation of Atrial Fibrillation Organization

A new method to assess sinus rhythm maintenance likelihood before electrical cardioversion of persistent atrial fibrillation

Hardware/software approach for code synchronization in low-power multi-core sensor nodes

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