A Web Based Cardiovascular Disease Detection System

Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most important solutions to reduce its devastating effects on health. In this paper, an efficient detection algorithm is identified. The algorithm us...

Full description

Saved in:
Bibliographic Details
Published inUbiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp. 243 - 250
Main Authors Alshraideh, Hussam, Otoom, Mwaffaq, Al-Araida, Aseel, Bawaneh, Haneen, Bravo, José
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2014
SeriesLecture Notes in Computer Science
Subjects
Cardiovascular
Classification
Electrocardiography
WEKA
Online AccessGet full text
ISBN9783319131016
331913101X
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-13102-3_40

Cover

Abstract Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most important solutions to reduce its devastating effects on health. In this paper, an efficient detection algorithm is identified. The algorithm uses patient demographic data as inputs, along with several ECG signal features extracted automatically through signal processing techniques. Cross-validation results show a 98.29% accuracy for the algorithm. The algorithm is also integrated into a web based system that can be used at anytime by patients to check their heart health status. At one end of the system is the ECG sensor attached to the patient’s body, while at the other end is the detection algorithm. Communication between the two ends is done through an Android application.
AbstractList Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most important solutions to reduce its devastating effects on health. In this paper, an efficient detection algorithm is identified. The algorithm uses patient demographic data as inputs, along with several ECG signal features extracted automatically through signal processing techniques. Cross-validation results show a 98.29% accuracy for the algorithm. The algorithm is also integrated into a web based system that can be used at anytime by patients to check their heart health status. At one end of the system is the ECG sensor attached to the patient’s body, while at the other end is the detection algorithm. Communication between the two ends is done through an Android application.
Author Bravo, José
Al-Araida, Aseel
Alshraideh, Hussam
Bawaneh, Haneen
Otoom, Mwaffaq
Author_xml – sequence: 1
  givenname: Hussam
  surname: Alshraideh
  fullname: Alshraideh, Hussam
  organization: Jordan University of Science and Technology, Jordan
– sequence: 2
  givenname: Mwaffaq
  surname: Otoom
  fullname: Otoom, Mwaffaq
  organization: Yarmouk University, Jordan
– sequence: 3
  givenname: Aseel
  surname: Al-Araida
  fullname: Al-Araida, Aseel
  organization: Jordan University of Science and Technology, Jordan
– sequence: 4
  givenname: Haneen
  surname: Bawaneh
  fullname: Bawaneh, Haneen
  organization: Jordan University of Science and Technology, Jordan
– sequence: 5
  givenname: José
  surname: Bravo
  fullname: Bravo, José
  organization: Castilla-La Mancha University, Spain
BookMark eNo1kMtOwzAQRQ0Uiab0D1j4BwwznsSPZUl5SZVYAGJpOY6DAiVBcUDi70kLrEY6c2ekezI26_ouMnaGcI4A-sJqI0gQWoGEIAW5HA5YRhPZA3PI5qgQBVFuj9hyyv_vUM3YHGg6sjqnE5al9AoAUls5Z7Tiz7Hilz7Fmpd-qNv-y6fwufUDX7cpTpyv4xjD2PYdf_hOY3w_ZceN36a4_JsL9nR99Vjeis39zV252oiESCA8ySI2QVVSWq-8aXKqdGNBFkFbC5GKWoOGYLwKlVHUKBmwCobQaNPIQAsmf_-mj6HtXuLgqr5_Sw7B7Zy4qaMjN7V0ewVu54R-AG4OT94
ContentType Book Chapter
Copyright Springer International Publishing Switzerland 2014
Copyright_xml – notice: Springer International Publishing Switzerland 2014
DOI 10.1007/978-3-319-13102-3_40
DatabaseTitleList
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 3319131028
9783319131023
EISSN 1611-3349
Editor Nugent, Chris
Bravo, José
Lee, Sungyoung
Hervás, Ramón
Editor_xml – sequence: 1
  givenname: Ramón
  surname: Hervás
  fullname: Hervás, Ramón
  email: ramon.hlucas@uclm.es
– sequence: 2
  givenname: Sungyoung
  surname: Lee
  fullname: Lee, Sungyoung
  email: sylee@oslab.khu.ac.kr
– sequence: 3
  givenname: Chris
  surname: Nugent
  fullname: Nugent, Chris
  email: cd.nugent@ulster.ac.uk
– sequence: 4
  givenname: José
  surname: Bravo
  fullname: Bravo, José
  email: jose.bravo@uclm.es
EndPage 250
GroupedDBID -DT
-GH
-~X
1SB
29L
2HA
2HV
5QI
875
AASHB
ABMNI
ACGFS
ADCXD
AEFIE
ALMA_UNASSIGNED_HOLDINGS
EJD
F5P
FEDTE
HVGLF
LAS
LDH
P2P
RNI
RSU
SVGTG
VI1
~02
ID FETCH-LOGICAL-s1130-a325efc6b229a6a8f43b7f9025c7990e35d7070c8a6cb863f62c1bc831878f2c3
ISBN 9783319131016
331913101X
ISSN 0302-9743
IngestDate Wed Sep 17 03:14:33 EDT 2025
IsPeerReviewed true
IsScholarly true
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-s1130-a325efc6b229a6a8f43b7f9025c7990e35d7070c8a6cb863f62c1bc831878f2c3
PageCount 8
ParticipantIDs springer_books_10_1007_978_3_319_13102_3_40
PublicationCentury 2000
PublicationDate 2014
PublicationDateYYYYMMDD 2014-01-01
PublicationDate_xml – year: 2014
  text: 2014
PublicationDecade 2010
PublicationPlace Cham
PublicationPlace_xml – name: Cham
PublicationSeriesTitle Lecture Notes in Computer Science
PublicationSubtitle 8th International Conference, UCAmI 2014, Belfast, UK, December 2-5, 2014. Proceedings
PublicationTitle Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services
PublicationYear 2014
Publisher Springer International Publishing
Publisher_xml – name: Springer International Publishing
RelatedPersons Kleinberg, Jon M.
Mattern, Friedemann
Nierstrasz, Oscar
Steffen, Bernhard
Kittler, Josef
Weikum, Gerhard
Naor, Moni
Mitchell, John C.
Terzopoulos, Demetri
Kobsa, Alfred
Pandu Rangan, C.
Kanade, Takeo
Hutchison, David
Tygar, Doug
RelatedPersons_xml – sequence: 1
  givenname: David
  surname: Hutchison
  fullname: Hutchison, David
  organization: Lancaster University, Lancaster, UK
– sequence: 2
  givenname: Takeo
  surname: Kanade
  fullname: Kanade, Takeo
  organization: Carnegie Mellon University, Pittsburgh, USA
– sequence: 3
  givenname: Josef
  surname: Kittler
  fullname: Kittler, Josef
  organization: University of Surrey, Guildford, UK
– sequence: 4
  givenname: Jon M.
  surname: Kleinberg
  fullname: Kleinberg, Jon M.
  organization: Cornell University, Ithaca, USA
– sequence: 5
  givenname: Alfred
  surname: Kobsa
  fullname: Kobsa, Alfred
  organization: University of California, Irvine, USA
– sequence: 6
  givenname: Friedemann
  surname: Mattern
  fullname: Mattern, Friedemann
  organization: ETH Zurich, Zurich, Switzerland
– sequence: 7
  givenname: John C.
  surname: Mitchell
  fullname: Mitchell, John C.
  organization: Stanford University, Stanford, USA
– sequence: 8
  givenname: Moni
  surname: Naor
  fullname: Naor, Moni
  organization: Weizmann Institute of Science, Rehovot, Israel
– sequence: 9
  givenname: Oscar
  surname: Nierstrasz
  fullname: Nierstrasz, Oscar
  organization: University of Bern, Bern, Switzerland
– sequence: 10
  givenname: C.
  surname: Pandu Rangan
  fullname: Pandu Rangan, C.
  organization: Indian Institute of Technology, Madras, India
– sequence: 11
  givenname: Bernhard
  surname: Steffen
  fullname: Steffen, Bernhard
  organization: TU Dortmund University, Dortmund, Germany
– sequence: 12
  givenname: Demetri
  surname: Terzopoulos
  fullname: Terzopoulos, Demetri
  organization: University of California, Los Angeles, USA
– sequence: 13
  givenname: Doug
  surname: Tygar
  fullname: Tygar, Doug
  organization: University of California, Berkeley, USA
– sequence: 14
  givenname: Gerhard
  surname: Weikum
  fullname: Weikum, Gerhard
  organization: Max-Planck Institute of Computer Science, Saarbrücken, Germany
SSID ssj0002792
ssj0001386830
Score 1.9514369
Snippet Nowadays, Cardiovascular Disease (CVD) is one of the most catastrophic and life threatening common health issues. Early detection of CVD is one of the most...
SourceID springer
SourceType Publisher
StartPage 243
SubjectTerms Cardiovascular
Classification
Electrocardiography
WEKA
Title A Web Based Cardiovascular Disease Detection System
URI http://link.springer.com/10.1007/978-3-319-13102-3_40
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb5wwELY220vVQ9_qWxx6Q0QFG-M99LBpU62iNKdsmxvCXlut1GyaAIrUH9ff1hmPvbCbXNILAmTAzAfj8ed5MPZemtyK0nLQfoZnAgbIbOY0z7RVUsMUxGlfOuHriVwsxdFZeTaZ_B15LfWd3jd_bo0r-R9U4RzgilGyd0B2c1M4AfuAL2wBYdjuGL_bNCtVLNI_L3v4H_s2pdIMMdxwfq4xyDFEiFC2zX3v6u6tbnLf8S2XLXrIr5rf3uwMWmPzCfxqf1xhAklPvCz6lirMECXbgb3tudTrxrnmcrgmm-M1RNa21m78Nw6a62YdbgU7MQAteEqn361OD2BAXaEHythB9jMtIIFe7CxVNacc66QNMUtz-_E4rIOcXHTevSyNpSqi5hpTG7nYoTYitblDjg783NZcmIMyyTmSESMVykHfw4yJVKglFS8xcSOnRKlRbccWdESpcG8MLmN_Eoz9wqcVGa_Fhz22Bx2Ysnvzw6PjbwPHx5VUOD0LlgEma6RVLeoVxhrFXodsUMNbjOI8b3vkjZV7bxCdPmIPMEgmwegVENpjNrHrJ-xhlHsS5P6U8XkC0CYe2mQb2iRAm2ygTQjaZ2z55fD00yILdTqyNgcTKGt4UVpnpC6KWSMb5QTXlcP1a1OBsWN5uapgZDGqkUYryZ0sTK6NguGkUq4w_Dmbri_W9gVL5Ew4JZwpqtIIsTLaSanAyNbOVa4qxEuWxreu8c9r65h2G2RU8xpkVHsZ1SijV3dq_ZrdHz7CN2zaXfX2LVicnX4XgP0HRzR4Ww
linkProvider Library Specific Holdings
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=bookitem&rft.title=Ubiquitous+Computing+and+Ambient+Intelligence.+Personalisation+and+User+Adapted+Services&rft.au=Alshraideh%2C+Hussam&rft.au=Otoom%2C+Mwaffaq&rft.au=Al-Araida%2C+Aseel&rft.au=Bawaneh%2C+Haneen&rft.atitle=A+Web+Based+Cardiovascular+Disease+Detection+System&rft.series=Lecture+Notes+in+Computer+Science&rft.date=2014-01-01&rft.pub=Springer+International+Publishing&rft.isbn=9783319131016&rft.issn=0302-9743&rft.eissn=1611-3349&rft.spage=243&rft.epage=250&rft_id=info:doi/10.1007%2F978-3-319-13102-3_40
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0302-9743&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0302-9743&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0302-9743&client=summon