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半自动心脏辅助除颤器中室颤检测算法的评估

Assessment of the ventricular fibrillation detection algorithm in the semi-automatic Cardio-Aid defibrillator.

作者信息

Murray A, Clayton R H, Campbell R W

机构信息

Regional Medical Physics Department, Freeman Hospital, Newcastle upon Tyne, UK.

出版信息

Resuscitation. 1995 Apr;29(2):113-7. doi: 10.1016/0300-9572(94)00825-z.

DOI:10.1016/0300-9572(94)00825-z
PMID:7659862
Abstract

The sensitivity and specificity of ventricular fibrillation (VF) detection in the semi-automatic Cardio-Aid defibrillator was assessed with 25 ECG recordings, each of length 40 s. Of the 25 ECG recordings, 12 contained VF requiring defibrillation, 3 contained a tachyarrhythmia with a waveform similar to VF but which self-terminated, and 10 were selected from abnormal rhythms and artefacts which contained some features similar to VF. Sensitivity was assessed from the VF data. Specificity was assessed from both the rhythm preceding VF or the tachyarrhythmias, and from the VF-like data. The response to a changing rhythm was assessed from the self-terminating tachyarrhythmias. Each recording was replayed to the defibrillators at 3 signal amplitudes (normal, half and double). Request to analyse the ECG because of possible VF and advice to shock were noted separately. The sensitivity for recommending a shock when a shock was required was 92%. The sensitivity for drawing attention to VF, through requesting analysis was 97%. There were no false detections in the rhythms preceding VF or the tachyarrhythmias (specificity with good quality signals 100%). The specificity with the VF-like data ws 90%. There was significant difference between this defibrillator and other semi-automated defibrillators previously assessed.

摘要

使用25份心电图记录(每份长度为40秒)评估了半自动心脏除颤器检测心室颤动(VF)的敏感性和特异性。在这25份心电图记录中,12份包含需要除颤的VF,3份包含波形与VF相似但可自行终止的快速心律失常,10份选自包含一些与VF相似特征的异常节律和伪迹。敏感性根据VF数据进行评估。特异性从VF或快速心律失常之前的节律以及类似VF的数据中进行评估。从可自行终止的快速心律失常评估对变化节律的反应。每份记录以3种信号幅度(正常、一半和两倍)重放给除颤器。因可能存在VF而请求分析心电图以及建议电击的情况分别记录。需要电击时推荐电击的敏感性为92%。通过请求分析来引起对VF关注的敏感性为97%。在VF或快速心律失常之前的节律中没有误检测(高质量信号的特异性为100%)。类似VF数据的特异性为90%。该除颤器与之前评估的其他半自动除颤器之间存在显著差异。

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