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 |