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Eneling, Martin
Publications (6 of 6) Show all publications
Sundvall, E., Nyström, M., Karlsson, D., Eneling, M., Chen, R. & Örman, H. (2013). Applying representational state transfer (REST) architecture to archetype-based electronic health record systems. BMC Medical Informatics and Decision Making, 13(57)
Open this publication in new window or tab >>Applying representational state transfer (REST) architecture to archetype-based electronic health record systems
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2013 (English)In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, E-ISSN 1472-6947, Vol. 13, no 57Article in journal (Refereed) Published
Abstract [en]

Background

The openEHR project and the closely related ISO 13606 standard have defined structures supporting the content of Electronic Health Records (EHRs). However, there is not yet any finalized openEHR specification of a service interface to aid application developers in creating, accessing, and storing the EHR content.

The aim of this paper is to explore how the Representational State Transfer (REST) architectural style can be used as a basis for a platform-independent, HTTP-based openEHR service interface. Associated benefits and tradeoffs of such a design are also explored.

Results

The main contribution is the formalization of the openEHR storage, retrieval, and version-handling semantics and related services into an implementable HTTP-based service interface. The modular design makes it possible to prototype, test, replicate, distribute, cache, and load-balance the system using ordinary web technology. Other contributions are approaches to query and retrieval of the EHR content that takes caching, logging, and distribution into account. Triggering on EHR change events is also explored.

A final contribution is an open source openEHR implementation using the above-mentioned approaches to create LiU EEE, an educational EHR environment intended to help newcomers and developers experiment with and learn about the archetype-based EHR approach and enable rapid prototyping.

Conclusions

Using REST addressed many architectural concerns in a successful way, but an additional messaging component was needed to address some architectural aspects. Many of our approaches are likely of value to other archetype-based EHR implementations and may contribute to associated service model specifications.

Place, publisher, year, edition, pages
BioMed Central, 2013
National Category
Information Systems
Identifiers
urn:nbn:se:liu:diva-87696 (URN)10.1186/1472-6947-13-57 (DOI)000320998000001 ()
Available from: 2013-01-22 Created: 2013-01-22 Last updated: 2018-01-11
Rattfält, L., Ahlström, C., Eneling, M., Ragnemalm, B., Hult, P., Lindén, M. & Ask, P. (2009). A platform for physiological signals including an intelligent stethoscope. In: Jos Sloten, Pascal Verdonck, Marc Nyssen, Jens Haueisen (Ed.), 4th European Conference of the International Federation for Medical and Biological Engineering: ECIFMBE 2008 23–27 November 2008 Antwerp, Belgium. Paper presented at 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE), (pp. 1038-1041). Paper presented at 4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE),. Springer Berlin/Heidelberg, 22
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2009 (English)In: 4th European Conference of the International Federation for Medical and Biological Engineering: ECIFMBE 2008 23–27 November 2008 Antwerp, Belgium / [ed] Jos Sloten, Pascal Verdonck, Marc Nyssen, Jens Haueisen, Springer Berlin/Heidelberg, 2009, Vol. 22, p. 1038-1041Chapter in book (Refereed)
Abstract [en]

We have developed a physiological signal platform where presently phonocardiographic (PCG) and electrocardiographic (ECG) signals can be acquired and on which our signal analysis techniques can be implemented. The platform can also be used to store patient data, to enable comparison over time and invoke distance consultation if necessary. Our studies so far indicate that with our signal analysis techniques of heart sounds we are able to separate normal subject from those with aortic stenosis and mitral insufficiency. Further we are able to identify the third heart sound. The platform is being tested in a primary health care setting.

Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2009
Series
IFMBE Proceedings, ISSN 1680-0737
Keywords
monitoring; distributed care; intelligent stethoscope
National Category
Medical Biotechnology
Identifiers
urn:nbn:se:liu:diva-116925 (URN)10.1007/978-3-540-89208-3_247 (DOI)978-3-540-89207-6 (ISBN)
Conference
4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE),
Note

4th European Conference of the International Federation for Medical and Biological Engineering (ECIFMBE), Antwerp, BELGIUM, NOV 23-27, 2008

Available from: 2015-04-09 Created: 2015-04-09 Last updated: 2016-08-30
Nyström, M., Sundvall, E., Eneling, M., Karlsson, D., Petersson, H. & Åhlfeldt, H. (2008). Introduction to openEHR basic principles. In: : . Paper presented at International Congress od the European Federation for Medical Informatics, Göteborg.
Open this publication in new window or tab >>Introduction to openEHR basic principles
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2008 (English)Conference paper, Published paper (Refereed)
National Category
Biomedical Laboratory Science/Technology
Identifiers
urn:nbn:se:liu:diva-61150 (URN)
Conference
International Congress od the European Federation for Medical Informatics, Göteborg
Available from: 2010-11-04 Created: 2010-11-04 Last updated: 2015-09-22
Eneling, M., Wickström, M., Johansson, A. & Hult, P. (2006). Vätternrundan.  Fjärr-registrering av fysiologiska parametrar under idrottsutövning.. In: : . Paper presented at Medicinteknikdagarna 2006, 3-4 oktober Uppsala.
Open this publication in new window or tab >>Vätternrundan.  Fjärr-registrering av fysiologiska parametrar under idrottsutövning.
2006 (Swedish)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Medical Engineering
Identifiers
urn:nbn:se:liu:diva-122289 (URN)
Conference
Medicinteknikdagarna 2006, 3-4 oktober Uppsala
Available from: 2015-10-28 Created: 2015-10-28 Last updated: 2015-11-06
Jönsson, B., Laurent, C., Eneling, M., Skau, T. & Lindberg, L.-G. (2005). Automatic ankle pressure measurements using PPG in ankle-brachial pressure index determination. European Journal of Vascular and Endovascular Surgery, 30(4), 395-401
Open this publication in new window or tab >>Automatic ankle pressure measurements using PPG in ankle-brachial pressure index determination
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2005 (English)In: European Journal of Vascular and Endovascular Surgery, ISSN 1078-5884, E-ISSN 1532-2165, Vol. 30, no 4, p. 395-401Article in journal (Refereed) Published
Abstract [en]

Objective

To evaluate a new technique using a photoplethysmographic (PPG) probe for automatic ankle pressure measurements.

Design

Comparative study on two techniques for ankle pressure measurement.

Setting

University hospital.

Material

Thirty-five patients with leg arterial disease and eight healthy volunteers. Ankle-brachial indices (ABPI) were measured using conventional CW Doppler technique and PPG-based prototype equipment for the ankle pressure recordings.

Chief outcome measures

ABPIs calculated from CW Doppler and PPG ankle pressure measurements. The PPG signals were analysed both by visual judgement and by a software based, automatic algorithm.

Main results

The mean difference between ABPIs calculated from CW Doppler recordings and PPG (visual analysis) was −0.01 (limits of agreement (±two standard deviations) +0.16 to −0.19). The correlation coefficient was 0.93. When the algorithm was used, the mean difference (CW Doppler−PPG) was 0.05 (limits of agreement 0.28 to −0.18, r=0.89).

Conclusions

The PPG method is a promising technique with an inherent potential for automatisation of the ankle pressure measurements, thereby reducing the observer-dependency in ABPI recordings.

Keywords
photoplethysmography, ankle, blood pressure determination, ultrasonography, Doppler
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-30084 (URN)10.1016/j.ejvs.2005.05.012 (DOI)15964772 (PubMedID)15552 (Local ID)15552 (Archive number)15552 (OAI)
Available from: 2009-10-09 Created: 2009-10-09 Last updated: 2017-12-13Bibliographically approved
Laurent, C., Jönsson, B., Vegfors, M., Eneling, M. & Lindberg, L.-G. (2004). Noninvasive monitoring of systolic blood pressure on the arm utilizing photoplethysmography (PPG): clinical report. In: Gerald E. Cohn; Warren S. Grundfest; David A. Benaron; Tuan Vo-Dinh (Ed.), Proc. SPIE 5318, Advanced Biomedical and Clinical Diagnostic Systems II: (pp. 99). Bellingham WA, USA: SPIE
Open this publication in new window or tab >>Noninvasive monitoring of systolic blood pressure on the arm utilizing photoplethysmography (PPG): clinical report
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2004 (English)In: Proc. SPIE 5318, Advanced Biomedical and Clinical Diagnostic Systems II / [ed] Gerald E. Cohn; Warren S. Grundfest; David A. Benaron; Tuan Vo-Dinh, Bellingham WA, USA: SPIE , 2004, p. 99-Conference paper, Published paper (Refereed)
Abstract [en]

A soft (silicone) probe, containing six light emitting diodes (880 nm) and three photo detectors, utilizes photoplethysmography (PPG) to monitor pulsations from the brachialis artery under an occluding cuff during deflation. When the arterial pulse returns, measured by PPG, the corresponding pressure in the cuff is determined. This pressure is assumed to equal the systolic pressure. An assessment trial was performed on 21 patients (9 women and 12 men, aged 27-69) at the Neuro-Intensive care unit. Since the patients were already provided with arterial needles, invasive blood pressure could be used as the reference. By choosing a threshold, for detecting pulses, as a fraction (4%) of the maximum amplitude, the systolic blood pressure was underestimated (-0.57 mmHg, SD 12.1). The range of systolic pressure for the patients was 95.5 - 199.0 mmHg, n=14. The method is promising, but improvements still have to be made in order to improve the technique.

Place, publisher, year, edition, pages
Bellingham WA, USA: SPIE, 2004
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:liu:diva-22175 (URN)10.1117/12.529092 (DOI)1305 (Local ID)1305 (Archive number)1305 (OAI)
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-11-13
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