LEADER 01792nam  2200397z- 450 
001 9910346892303321
005 20210211
010   $a1000029058
035   $a(CKB)4920000000101599
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/40818
035   $a(oapen)doab40818
035   $a(EXLCZ)994920000000101599
100   $a20202102d2012      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAnalysis of Atrial Electrograms
210   $cKIT Scientific Publishing$d2012
215   $a1 online resource (VI, 214 p. p.)
225 1 $aKarlsruhe transactions on biomedical engineering / Ed.: Karlsruhe Institute of Technology / Institute of Biomedical Engineering
311 08$a3-86644-894-5 
330   $aThis work provides methods to measure and analyze features of atrial electrograms - especially complex fractionated atrial electrograms (CFAEs) - mathematically. Automated classification of CFAEs into clinical meaningful classes is applied and the newly gained electrogram information is visualized on patient specific 3D models of the atria. Clinical applications of the presented methods showed that quantitative measures of CFAEs reveal beneficial information about the underlying arrhythmia.
606   $aTechnology: general issues$2bicssc
610   $aAtrial Fibrillation
610   $aCatheter Ablation
610   $aClassification
610   $aComplex Fractionated Atrial Electrograms
610   $aSignal Processing
615  7$aTechnology: general issues
700   $aSchilling$b Christopher$4auth$01294115
906   $aBOOK
912   $a9910346892303321
996   $aAnalysis of Atrial Electrograms$93022891
997   $aUNINA