Open ECG: A European project to promote the SCP-ECG standard, a further step towards interoperability in electrocardiography

Chronaki, Catherine; Chiarugi, Franco; Lees, P.J.; Bruun-Rasmussen, Morten; Conforti, F.; Fernandez, R. Ruiz; Zywietz, C.

doi:10.1109/cic.2002.1166764

Cited by 13 publications

(9 citation statements)

References 2 publications

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“…A special consortium was formed, called OpenECG, to promote the consistent use of the SCP-ECG format by all manufacturers and researchers. This organization used a multifaceted approach to promoting the standard: (1) A web portal was created where news about the format could be disseminated and software tools could be downloaded, (2) format development and implementation guidelines were developed, and (3) programming contests were held with awards for the best format-compliant tools (Chronaki et al, 2002). But limitations to the format forced developers to revise it in 2005 and the format was not approved by the International Organization for Standardization (ISO) until 2009 (Trigo et al, 2012).…”

Section: Standard Formats In Medical Imaging and Electrophysiologymentioning

confidence: 99%

Proposal for a Standard Format for Neurophysiology Data Recording and Exchange

Stead

Halford

2016

Journal of Clinical Neurophysiology

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Summary The lack of interoperability between information networks is a significant source of cost in healthcare. Standardized data formats decrease healthcare cost, improve quality of care, and facilitate biomedical research. There is no common standard digital format for storing clinical neurophysiologic data. This review proposes a new standard file format for neurophysiology data (the bulk of which is video-electroencephalographic data), entitled the Multiscale Electrophysiology Format, version 3 (MEF3) which is designed to address many of the shortcomings of existing formats. MEF3 provides functionality which addresses many of the limitations of current formats. The proposed improvements include: (1) hierarchical file structure with improved organization; (2) greater extensibility for big data applications requiring a large number of channels, signal types, and parallel processing; (3) efficient and flexible lossy or lossless data compression; (4) industry standard multi-layered data encryption and time obfuscation which permits sharing of human data without the need for deidentification procedures, (5) resistance to file corruption; (6) facilitation of online and offline review and analysis; and (7) provision of full open source documentation. At this time, there is no other neurophysiology format which supports all of these features. MEF3 is currently gaining industry and academic community support. We propose the use of the MEF3 as a standard format for neurophysiology recording and data exchange. Collaboration between industry, professional organizations, research communities, and independent standards organizations are needed to move the project forward.

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Section: Standard Formats In Medical Imaging and Electrophysiologymentioning

confidence: 99%

Proposal for a Standard Format for Neurophysiology Data Recording and Exchange

Stead

Halford

2016

Journal of Clinical Neurophysiology

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“…to promote the adoption of the SCP-ECG ("Standard Communications Protocol for computed assisted ECG") by implementing visualization tools and interoperability standards to help manufacturers on their implementations [5].…”

Section: Therefore a European Funded Project Called Openecg [4] Starmentioning

confidence: 99%

Raw data extraction from electrocardiograms with Portable Document Format

Ortigosa

Giménez

2014

Computer Methods and Programs in Biomedicine

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During the last two decades there has been a thorough research and development of standards and protocols in order to cope with different electrocardiogram formats from heterogeneous acquisition systems. Despite the efforts of public and private consortiums on creating a standardized electrocardiogram (ECG) storage format, there is still not a single one. Indeed, there is also the necessity of access to raw data of the ECGs previously acquired. Most of these documents have been saved as Adobe PDF files, since for medical staff it is an easy format for later visualization. However, this format presents difficulties when trying to access original raw data for subsequent studies and signal analysis. In this manner, this paper presents an application that obtains plain numerical data from ECG files stored with PDF format. Data can also be exported to one of the most common file formats in existence, to be easily accessed thereafter.

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“…Taddei et al (1992) offered a database and standards with metadata for evaluating ST-T for ambulatory ECG patients. Chronaki et al (2002) provided a common sensor collection and exploitation system message format. However, these systems have not incorporated the variety of environmental conditions essential for developers to commercialise a heartbeat biometric system.…”

Section: Experimental Datamentioning

confidence: 99%

Heartbeat biometrics: a sensing system perspective

Israel¹,

Irvine²

2012

IJCB

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This paper reviews the emerging research into exploitation of heartbeat data as a biometric for human identification. A variety of methods have been proposed for acquiring heartbeat signatures and a range of processing methods has been examined. We approach the biometric identification and verification problem by characterising the three major factors affecting performance: individual variants, environmental variants, and sensor variants. The ability to collect and process the signal, exploit the data for individual identification or verification, and disseminate the information depends on all three of these factors. Within each component, we have identified the relevant research. Where possible, we have tied these research papers to practical examples using high resolution ECG data. The research indicates that the heartbeat contains rich information about the individual, their level of anxiety, and the cardiac state.Keywords: biometrics; heartbeat; ECG; sensing system; cardiovascular function; human identification. areas of interest include novel biometrics, signal and image processing, quantification and modelling of data quality, and cognitive modeling. He was a Principal Investigator for DARPA's Human Identification at a Distance Program (HumanID). He serves on planning committees for IEEE and SPIE, and has served on several advisory panels for the Department of Defence and the Department of Energy. He has authored over a hundred journal and conference papers and holds a PhD in Mathematical Statistics from Yale University.

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Open ECG: A European project to promote the SCP-ECG standard, a further step towards interoperability in electrocardiography

Cited by 13 publications

References 2 publications

Proposal for a Standard Format for Neurophysiology Data Recording and Exchange

Proposal for a Standard Format for Neurophysiology Data Recording and Exchange

Raw data extraction from electrocardiograms with Portable Document Format

Heartbeat biometrics: a sensing system perspective

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