Cardiogoniometric parameters for detection of coronary artery disease at rest as a function of stenosis localization and distribution.
Huebner
Thomas
T
Department for Human and Economic Sciences, University for Health Sciences, Medical Informatics and Technology (UMIT), Eduard-Wallnoefer-Zentrum 1, 6060, Hall, Austria. thomas.huebner@umit.at
Schuepbach
W M Michael
WM
Seeck
Andrea
A
Sanz
Ernst
E
Meier
Bernhard
B
Voss
Andreas
A
Pilgram
Roland
R
D000328:Adult; D000368:Aged; D000465:Algorithms; D017023:Coronary Angiography; D023921:Coronary Stenosis / Q000175:diagnosis* / Q000473:pathology; D004562:Electrocardiography / Q000379:methods; D004566:Electrodes; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted