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System for Collecting Biosignal Data from Multiple Patient Monitoring Systems

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dc.contributor.authorYoon, D-
dc.contributor.authorLee, S-
dc.contributor.authorKim, TY-
dc.contributor.authorKo, J-
dc.contributor.authorChung, WY-
dc.contributor.authorPark, RW-
dc.date.accessioned2018-08-31T04:48:26Z-
dc.date.available2018-08-31T04:48:26Z-
dc.date.issued2017-
dc.identifier.issn2093-3681-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/16265-
dc.description.abstractObjectives: Biosignal data include important physiological information. For that reason, many devices and systems have been developed, but there has not been enough consideration of how to collect and integrate raw data from multiple systems. To overcome this limitation, we have developed a system for collecting and integrating biosignal data from two patient monitoring systems.
Methods: We developed an interface to extract biosignal data from Nihon Kohden and Philips monitoring systems. The Nihon Kohden system has a central server for the temporary storage of raw waveform data, which can be requested using the HL7 protocol. However, the Philips system used in our hospital cannot save raw waveform data. Therefore, our system was connected to monitoring devices using the RS232 protocol. After collection, the data were transformed and stored in a unified format.
Results: From September 2016 to August 2017, we collected approximately 117 patient-years of waveform data from 1,268 patients in 79 beds of five intensive care units. Because the two systems use the same data storage format, the application software could be run without compatibility issues.
Conclusions: Our system collects biosignal data from different systems in a unified format. The data collected by the system can be used to develop algorithms or applications without the need to consider the source of the data.
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dc.language.isoen-
dc.titleSystem for Collecting Biosignal Data from Multiple Patient Monitoring Systems-
dc.typeArticle-
dc.identifier.pmid29181244-
dc.identifier.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/29181244/-
dc.subject.keywordBiosignal-
dc.subject.keywordDatabase-
dc.subject.keywordElectrocardiography-
dc.subject.keywordIntensive Care Units-
dc.subject.keywordPhotoplethysmography-
dc.contributor.affiliatedAuthor윤, 덕용-
dc.contributor.affiliatedAuthor정, 우영-
dc.contributor.affiliatedAuthor박, 래웅-
dc.type.localJournal Papers-
dc.identifier.doi10.4258/hir.2017.23.4.333-
dc.citation.titleHealthcare informatics research-
dc.citation.volume23-
dc.citation.number4-
dc.citation.date2017-
dc.citation.startPage333-
dc.citation.endPage337-
dc.identifier.bibliographicCitationHealthcare informatics research, 23(4). : 333-337, 2017-
dc.identifier.eissn2093-369X-
dc.relation.journalidJ020933681-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
Journal Papers > School of Medicine / Graduate School of Medicine > Pulmonary & Critical Care Medicine
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