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

Chun An Cheng, Hsin Chu, Hung Wen Chiu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationComputing in Cardiology
Pages529-532
Number of pages4
Volume38
Publication statusPublished - 2011
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: Sep 18 2011Sep 21 2011

Other

OtherComputing in Cardiology 2011, CinC 2011
CountryChina
CityHangzhou
Period9/18/119/21/11

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Early detection of vasovagal syncope in tilt-up test with hemodynamic and autonomic study'. Together they form a unique fingerprint.

  • Cite this

    Cheng, C. A., Chu, H., & Chiu, H. W. (2011). Early detection of vasovagal syncope in tilt-up test with hemodynamic and autonomic study. In Computing in Cardiology (Vol. 38, pp. 529-532). [6164619]