Common Standards for Quantitative Electrocardiography : The CSE Pilot Study

Willems, Jos L.; Arnaud, Pierre; Bemmel, Jan H. van; Bourdillon, Peter J.; Brohet, C; Volta, Sergio Dalla; Degani, R.; Denis, B; Demeester, Michel; Dudeck, Joachim; Harms, Frits M.A.; Macfarlane, Peter W.; Marien, Anita; Mazzocca, G.; Meyer, Jürgen; Michaelis, Jörg; Pardaens, J; Peden, James G.; Pöppl, Siegfried J.; Eck, Henk J. Ritsema van; Medina, Etienne O. Robles de; Rubel, P.; Sajet, M.; Talmon, Jan L.; Zywietz, C.

doi:10.1007/978-3-642-93169-7_42

Cited by 25 publications

(39 citation statements)

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“…Across experimental tests, we have used standard multilead ECG inputs. To evaluate the 3L-MF and 3L-MMD, a multi-lead signal from a healthy subject of the CSE Database [23] has been employed. For the RP-CLASS application, 20% of pathological beats were inserted, representing the average presence of abnormalities in the CSE database.…”

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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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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“…In our experiments we have retrieved the evaluated ECG recordings from the DS1 dataset of the Common Standards for Electrocardiography (CSE) [19] ECG database. This database contains challenging samples both of healthy patients and of subjects presenting a wide range of pathologies (e.g.…”

Section: Experimental Evaluationmentioning

confidence: 99%

“…Overall, in this paper we explore the design space offered by the different possible embedded filtering and delineation choices when processing in real-time a variety of normal and pathological ECG recordings, retrieved from the Common Standards for Electrocardiography (CSE) database [19]. Performance is assessed along three dimensions: delineation accuracy, robustness against noise and computational requirements of the implementations.…”

Section: Introductionmentioning

confidence: 99%

Embedded real-time ECG delineation methods: A comparative evaluation

Braojos

Ansaloni

Atienza

et al. 2012

2012 IEEE 12th International Conference on Bioinformatics &Amp; Bioengineering (BIBE)

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Abstract-Wireless sensor nodes (WSNs) have recently evolved to include a fair amount of computational power, so that advanced signal processing algorithms can now be embedded even in these extremely low-power platforms. An increasingly successful field of application of WSNs is tele-healthcare, which enables continuous monitoring of subjects, even outside a medical environment. In particular, the design of solutions for automated and remote electrocardiogram (ECG) analysis has attracted considerable research interest in recent years, and different algorithms for delineation of normal and pathological heart rhythms have been proposed. In this paper, some of the most promising techniques for filtering and delineation of ECG signals are explored and comparatively evaluated, describing their implementation on the state-of-the-art IcyHeart WSN. The goal of this paper is to explore the trade-offs implied in the different settings and the impact of design choices for implementing "smart" WSNs dedicated to monitoring ECG bio-signals.

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“…As visual targets we used randomly selected CSE recordings [6]. The reference wave borders were not displayed but provided the cardio-physiological background for the scanpaths analysis.…”

Section: Reference Tracesmentioning

confidence: 99%