The diagnosis of vasovagal syncope (VVS) is according to history, tilt table test and blood pressure change with postural stress. We collected 30 patients below 55 years-old, received tilt table test without pharmacological challenge from 2005 to 2010. Due to this disorder is the heterogeneity, multiple factor. The pathophysological pathway was not fully understood. We used logistic regression and neural network to evaluate variables during baseline and first 3 minutes tilt table test to early detect vasovagal syncope with tilt table test. We found using parameters of baseline heart rate, body mass index and mean blood pressure, cardiac index, left ventricular work index during 3 minutes of tilt up test for neural network model, the model revealed good train and test performance (accuracy:95.5%) with good sensitivity and specificity.
|主出版物標題||Computing in Cardiology|
|出版狀態||已發佈 - 2011|
|事件||Computing in Cardiology 2011, CinC 2011 - Hangzhou, 中国|
持續時間: 9月 18 2011 → 9月 21 2011
|其他||Computing in Cardiology 2011, CinC 2011|
|期間||9/18/11 → 9/21/11|
ASJC Scopus subject areas