opensearch:totalResults = 13
opensearch:startIndex = 0
opensearch:itemsPerPage = 13
@role = request
@searchTerms = AU-ID(37021266600)
@startPage = 0
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2837021266600%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json
@_fa = true
@ref = first
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%2837021266600%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json
inizio
@_fa = true
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85057211586
@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85057211586?field=author,affiliation
@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85057211586&origin=inward
@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85057211586&origin=inward
Non-Invasive Detection of Mechanical Alternans Utilizing Photoplethysmography; IEEE Journal of Biomedical and Health Informatics; November 2019; DOI: 10.1109/JBHI.2018.2882550
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85057211586
dc:identifier = SCOPUS_ID:85057211586
eid = 2-s2.0-85057211586
dc:creator = Besleaga T.
prism:publicationName = IEEE Journal of Biomedical and Health Informatics
prism:issn = 21682194
prism:eIssn = 21682208
prism:volume = 23
prism:issueIdentifier = 6
prism:pageRange = 2409-2416
prism:coverDate = 2019-11-01
prism:coverDisplayDate = November 2019
prism:doi = 10.1109/JBHI.2018.2882550
citedby-count = 10
@_fa = true
affilname = St Bartholomew's Hospital
affiliation-city = London
affiliation-country = United Kingdom
pubmed-id = 30475736
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 8542777
source-id = 21100256982
openaccess = 0
openaccessFlag = false
value:
$ = all
$ = repository
$ = repositoryam
value:
$ = All Open Access
$ = Green
prism:isbn:
@_fa =
$ =
pii =
inizio
@_fa = true
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85068804396
@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85068804396?field=author,affiliation
@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068804396&origin=inward
@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85068804396&origin=inward
Detecting Mechanical Alternans Utilizing Photoplethysmography; Computing in Cardiology; September 2018; DOI: 10.22489/CinC.2018.212
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85068804396
dc:identifier = SCOPUS_ID:85068804396
eid = 2-s2.0-85068804396
dc:creator = Besleaga T.
prism:publicationName = Computing in Cardiology
prism:issn = 23258861
prism:eIssn = 2325887X
prism:volume = 2018-September
prism:issueIdentifier =
prism:pageRange =
prism:coverDate = 2018-09-01
prism:coverDisplayDate = September 2018
prism:doi = 10.22489/CinC.2018.212
citedby-count = 1
@_fa = true
affilname = University College London
affiliation-city = London
affiliation-country = United Kingdom
pubmed-id =
prism:aggregationType = Conference Proceeding
subtype = cp
subtypeDescription = Conference Paper
article-number = 8743736
source-id = 21100236007
openaccess = 1
openaccessFlag = true
value:
$ = all
$ = publisherfree2read
value:
$ = All Open Access
$ = Bronze
prism:isbn:
@_fa = true
$ = [9781728109589]
pii =
inizio
@_fa = true
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85035344634
@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85035344634?field=author,affiliation
@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85035344634&origin=inward
@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85035344634&origin=inward
Prediction of postoperative outcomes using intraoperative hemodynamic monitoring data; Scientific Reports; 1 December 2017; DOI: 10.1038/s41598-017-16233-4
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85035344634
dc:identifier = SCOPUS_ID:85035344634
eid = 2-s2.0-85035344634
dc:creator = Prasad V.
prism:publicationName = Scientific Reports
prism:issn =
prism:eIssn = 20452322
prism:volume = 7
prism:issueIdentifier = 1
prism:pageRange =
prism:coverDate = 2017-12-01
prism:coverDisplayDate = 1 December 2017
prism:doi = 10.1038/s41598-017-16233-4
citedby-count = 10
@_fa = true
affilname = MIT School of Engineering
affiliation-city = Cambridge
affiliation-country = United States
@_fa = true
affilname = Massachusetts Institute of Technology
affiliation-city = Cambridge
affiliation-country = United States
pubmed-id = 29180647
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 16376
source-id = 21100200805
openaccess = 1
openaccessFlag = true
value:
$ = all
$ = publisherfullgold
value:
$ = All Open Access
$ = Gold
prism:isbn:
@_fa =
$ =
pii =
inizio
@_fa = true
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/84960416930
@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/84960416930?field=author,affiliation
@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84960416930&origin=inward
@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84960416930&origin=inward
Heart rate variability in untreated newly diagnosed temporal lobe epilepsy: Evidence for ictal sympathetic dysregulation; Epilepsia; 1 March 2016; DOI: 10.1111/epi.13309
prism:url = https://api.elsevier.com/content/abstract/scopus_id/84960416930
dc:identifier = SCOPUS_ID:84960416930
eid = 2-s2.0-84960416930
dc:creator = Romigi A.
prism:publicationName = Epilepsia
prism:issn = 00139580
prism:eIssn = 15281167
prism:volume = 57
prism:issueIdentifier = 3
prism:pageRange = 418-426
prism:coverDate = 2016-03-01
prism:coverDisplayDate = 1 March 2016
prism:doi = 10.1111/epi.13309
citedby-count = 51
@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy
@_fa = true
affilname = Istituto Neurologico Mediterraneo Neuromed, Pozzilli
affiliation-city = Pozzilli
affiliation-country = Italy
pubmed-id = 26813146
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number =
source-id = 15510
openaccess = 1
openaccessFlag = true
value:
$ = all
$ = publisherfree2read
value:
$ = All Open Access
$ = Bronze
prism:isbn:
@_fa =
$ =
pii =
inizio
@_fa = true
@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/84953337565
@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/84953337565?field=author,affiliation
@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84953337565&origin=inward
@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84953337565&origin=inward
Intraoperative hemodynamics predict postoperative mortality in orthotopic liver transplantation; Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; 4 November 2015; DOI: 10.1109/EMBC.2015.7318530
prism:url = https://api.elsevier.com/content/abstract/scopus_id/84953337565
dc:identifier = SCOPUS_ID:84953337565
eid = 2-s2.0-84953337565
dc:creator = Prasad V.
prism:publicationName = Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
prism:issn = 1557170X
prism:eIssn =
prism:volume = 2015-November
prism:issueIdentifier =
prism:pageRange = 989-992
prism:coverDate = 2015-11-04
prism:coverDisplayDate = 4 November 2015
prism:doi = 10.1109/EMBC.2015.7318530
citedby-count = 4
@_fa = true
affilname = Massachusetts Institute of Technology
affiliation-city = Cambridge
affiliation-country = United States
pubmed-id = 26736430
prism:aggregationType = Conference Proceeding
subtype = cp
subtypeDescription = Conference Paper
article-number = 7318530
source-id = 34202
openaccess = 0
openaccessFlag = false
value:
$ =
value:
$ =
prism:isbn:
@_fa = true
$ = [9781424492718]
pii =