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Automatic arrhythmia detection using support vector machine based on discrete wavelet transform / (Record no. 51430)

MARC details
000 -LEADER
fixed length control field 02126cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150625s2014 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.03.M.Sc.2014.Ib.A
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ibrahim Hamed Ibrahim
245 10 - TITLE STATEMENT
Title Automatic arrhythmia detection using support vector machine based on discrete wavelet transform /
Statement of responsibility, etc. Ibrahim Hamed Ibrahim ; Supervised Mohamed Emad Mousa Rasmy , Abd Allah Sayed Ahmed , Mohamed Ibrahim Ismail Owis
246 15 - VARYING FORM OF TITLE
Title proper/short title الكشف الأتوماتيكى عن عدم إنتظام ضربات القلب بإستخدام مصنف آلى محدد مبنى على التحويل المتقطع المويجى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ibrahim Hamed Ibrahim ,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 99 P. :
Other physical details charts , facsimiles ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Arrhythmia is abnormality in the way electricity moves through the heart. The symptoms of arrhythmia are not present all the time; several examination hours of ECG records are needed. Even so, there is a high percentage of missing vital information. Automated arrhythmia detection of normal sinus rhythm and three types of arrhythmia (AF, VF, and SVT) was introduced by extracting the main features of the signal through DWT followed by PCA. These features were reduced through statistical analysis to be used as input to SVM that resulted in overall accuracy of 96.89%. The aim is to minimize the risk of missing vital information and to give physicians the confidence of making sound decisions with indistinct symptoms
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Arrhythmia detection
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Principal component analysis
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Wavelet
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Abdallah Sayed Ahmed ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Emad Mousa Rasmy ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mohamed Ibrahim Ismail Owis ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Enas
Reviser Cataloger
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.03.M.Sc.2014.Ib.A 01010110065910000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.03.M.Sc.2014.Ib.A 01020110065910000 22.09.2023 CD - Rom 65910.CD