Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsai, Shang-Ho (Lawrence) | en_US |
dc.contributor.author | Tsai, Min-Shan | en_US |
dc.contributor.author | Jiang, Yu-Chen Fan | en_US |
dc.date.accessioned | 2019-04-02T06:04:29Z | - |
dc.date.available | 2019-04-02T06:04:29Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 0271-4302 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/150872 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | amplitude spectrum area (AMSA) | en_US |
dc.subject | ventricular fibrillation (VF) | en_US |
dc.subject | defibrillation timing | en_US |
dc.subject | frequency variation (FV) | en_US |
dc.title | A NOVEL SYSTEM AND STATISTICAL ANALYSIS FOR PREDICTING DEFIBRILLATION TIMING DURING VENTRICULAR FIBRILLATION | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | en_US |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000451218703066 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Conferences Paper |