Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images
نویسندگان
چکیده
منابع مشابه
Automated grading of left ventricular segmental wall motion by an artificial neural network using color kinesis images.
The present study describes an auxiliary tool in the diagnosis of left ventricular (LV) segmental wall motion (WM) abnormalities based on color-coded echocardiographic WM images. An artificial neural network (ANN) was developed and validated for grading LV segmental WM using data from color kinesis (CK) images, a technique developed to display the timing and magnitude of global and regional WM ...
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OBJECTIVES To test the feasibility of objective and automated evaluation of echocardiographic stress tests, we studied the ability of segmental analysis of color kinesis (CK) images to detect dobutamine-induced wall motion abnormalities and compared this technique with inexperienced reviewers of conventional gray-scale images. BACKGROUND Conventional interpretation of stress echocardiographic...
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BACKGROUND Normal values for regional left ventricular wall motion, although documented in adults, have not been reported in healthy newborns. METHODS This study prospectively evaluated global and segmental systolic and diastolic cardiac function by color kinesis in clinically asymptomatic healthy newborns. RESULTS Eighty-eight asymptomatic infants who were less than 48 hours old were studi...
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Left Ventricular Wall Motion
The effects of sublingual nitroglycerin (GTN) on left ventricular wall motion (LVWM) were examined by angiographic assessment in eight patients with anginal chest pain. Five of seven patients having occlusive coronary artery disease showed segmental abnormalities in LVWM characterized by regional hypokinesis or akinesis at rest. These abnormalities were accentuated by tachycardia induced by atr...
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ژورنال
عنوان ژورنال: Brazilian Journal of Medical and Biological Research
سال: 2006
ISSN: 0100-879X
DOI: 10.1590/s0100-879x2006000100001