@inproceedings{7113172d35dd4557a57b8f4a4c3b4691,
title = "A Novel System and Statistical Analysis for Predicting Defibrillation Timing during Ventricular Fibrillation",
abstract = "This work proposes a new algorithm and analytical methods for predicting the successful rate of a defibrillation during ventricular fibrillation. Accurate predictions help in improving outcomes of cardiopulmonary resuscitation. This also helps in finding a good defibrillation timing to avoid ineffective defibrillation, which leads to myocardial damages and thus a poor prognosis after the resuscitation. Simulation results show that the proposed algorithm outperforms conventional methods in terms of several commonly used performance indices; meanwhile, the proposed analysis also well matches the practical experimental results.",
keywords = "amplitude spectrum area (AMSA), defibrillation timing, frequency variation (FV), ventricular fibrillation (VF)",
author = "Shang-Ho Tsai and Tsai, {Min Shan} and Jiang, {Yu Chen Fan}",
year = "2018",
month = apr,
day = "26",
doi = "10.1109/ISCAS.2018.8351600",
language = "English",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE International Symposium on Circuits and Systems, ISCAS 2018 - Proceedings",
address = "United States",
note = "null ; Conference date: 27-05-2018 Through 30-05-2018",
}