Dataset:
PloS One Publication - Celler et al
PloS One Publication - Celler et al
dc.contributor.other | Savkine, Andrey | |
dc.contributor.other | Liaw, Teng | |
dc.coverage.spatial | Sydney Australia | en_US |
dc.date.accessioned | 2021-11-26T10:42:08Z | |
dc.date.available | 2021-11-26T10:42:08Z | |
dc.date.issued | 2018 | en_US |
dc.description.abstract | Dataset as used in analysis reported in paper published in PloS One titled "Novel methods of testing and calibration of oscillometric blood pressure monitors" | en_US |
dc.identifier.uri | http://hdl.handle.net/1959.4/resource/collection/resdatac_670/1 | |
dc.language | English | |
dc.language.iso | EN | en_US |
dc.rights | CC-BY | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject.other | Non Invasive Blood Pressure measurement | en_US |
dc.subject.other | Oscillometric | en_US |
dc.subject.other | sphygomanometry | en_US |
dc.subject.other | Auscultatory | en_US |
dc.title | PloS One Publication - Celler et al | en_US |
dc.type | Dataset | en_US |
dcterms.accessRights | open access | |
dcterms.accrualMethod | Analysis using MATLAB analysis of NIBP data from simulator and comparison with modified reference auscultatory data set using Bland Altman Plots | en_US |
dcterms.rightsHolder | Copyright 2018, University of New South Wales | en_US |
dspace.entity.type | Dataset | en_US |
unsw.accessRights.uri | https://purl.org/coar/access_right/c_abf2 | |
unsw.contributor.leadChiefInvestigator | Celler, Branko | |
unsw.contributor.researchDataCreator | Le, Phu | en_US |
unsw.contributor.researchDataCreator | Ambikairajah, Eliathamby | en_US |
unsw.contributor.researchDataCreator | Argha, Reza | en_US |
unsw.coverage.temporalFrom | 2012-01-01 | en_US |
unsw.coverage.temporalText | BP Data set was collected in 2012-2013. Additional data on NIBP devices were collected in 2018 | en_US |
unsw.coverage.temporalTo | 2018-04-30 | en_US |
unsw.description.storageplace | Personal Laptop - Prof. Branko Celler, UNSW School of Electrical Engineering and Telecommunications | en_US |
unsw.identifier.doi | https://doi.org/10.26190/5b4e89f300f01 | en_US |
unsw.isPublicationRelatedToDataset | https://doi.org/10.1371/journal.pone.0201123 | en_US |
unsw.relation.FunderRefNo | LP160101202 | |
unsw.relation.OriginalPublicationAffiliation | Le, Phu, Electrical Eng & Telecom, Engineering, | en_US |
unsw.relation.OriginalPublicationAffiliation | Ambikairajah, Eliathamby, Electrical Eng & Telecom, Engineering, | en_US |
unsw.relation.OriginalPublicationAffiliation | Argha, Reza, Biomedical Engineering, Engineering, | en_US |
unsw.relation.faculty | Engineering | |
unsw.relation.faculty | Medicine & Health | |
unsw.relation.fundingAgency | AUSTRALIAN RESEARCH COUNCIL | |
unsw.relation.fundingScheme | LINKAGE PROJECT | |
unsw.relation.projectDesc | telehealth monitoring for the management of chronic disease is becoming increasingly routine internationally and shows great promise in reducing health service costs through the reduction of unnecessary hospital admissions. scaling up telehealth services nationally represents a complex organisational and technical challenge that will require automated means of assessing changes in an individual health status. this project seeks to develop robust statistical models of an individual’s health status from longitudinal measurements of their vital signs and questionnaire data taken at home, with the objective of identifying exacerbations and orchestrating an optimal response from health services to reduce unscheduled admissions to hospital. | |
unsw.relation.projectEndDate | 2020-05-01 | |
unsw.relation.projectStartDate | 2016-12-20 | |
unsw.relation.projectTitle | predictive analytics from at home telemonitoring of vital signs | en_US |
unsw.relation.school | School of Electrical Engineering and Telecommunications | |
unsw.relation.school | School of Biomedical Engineering | |
unsw.relation.school | School of Electrical Engineering and Telecommunications | |
unsw.relation.school | School of Electrical Engineering and Telecommunications | |
unsw.relation.school | School of Population Health | |
unsw.relation.school | School of Electrical Engineering and Telecommunications | |
unsw.relation.unswGrantNo | RG152818 | |
unsw.subject.fieldofresearchcode | 0903 Biomedical Engineering | en_US |
unsw.subject.fieldofresearchcode | 090303 Biomedical Instrumentation | en_US |
unsw.subject.fieldofresearchcode | 090304 Medical Devices | en_US |
unsw.subject.fieldofresearchcode | 111711 Health Information Systems (incl. Surveillance) | en_US |
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