Early detection of vasovagal syncope in tilt-up test with hemodynamic and autonomic study

Chun An Cheng, Hsin Chu, Hung Wen Chiu

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

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.
原文英語
主出版物標題Computing in Cardiology
頁面529-532
頁數4
38
出版狀態已發佈 - 2011
事件Computing in Cardiology 2011, CinC 2011 - Hangzhou, 中国
持續時間: 九月 18 2011九月 21 2011

其他

其他Computing in Cardiology 2011, CinC 2011
國家中国
城市Hangzhou
期間9/18/119/21/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

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