Literature DB >> 11730400

Automated external defibrillators: technical considerations and clinical promise.

T S Takata1, R L Page, J A Joglar.   

Abstract

Early defibrillation is the most important determinant of survival for victims of cardiac arrest due to ventricular fibrillation. The automated external defibrillator (AED) was developed as the result of the American Heart Association's Public Access Defibrillation initiative. The goal of this initiative is to place AEDs in strategic locations so that laypersons with minimal training could promptly defibrillate victims of cardiac arrest. Because of changes in design and the use of alternative waveforms for defibrillation, the modern AED is compact and portable, simple to use, and highly efficacious; in addition, it requires little maintenance. Automated external defibrillators have been used successfully by traditional and nontraditional responders as well as laypersons. In special environments, such as casinos and commercial aircraft, AEDs have performed particularly well. State and federal legislation has eased concerns about AED use by extending legal protection to AED users under Good Samaritan laws. Since the experience continues to be positive, AEDs are being used in increasingly diverse community locations, and public awareness is growing. The American Heart Association's initiative is progressing rapidly.

Entities:  

Mesh:

Year:  2001        PMID: 11730400     DOI: 10.7326/0003-4819-135-11-200112040-00011

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  6 in total

1.  Ventricular Fibrillation Waveform Analysis During Chest Compressions to Predict Survival From Cardiac Arrest.

Authors:  Jason Coult; Jennifer Blackwood; Lawrence Sherman; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-01

Review 2.  [Technical requirements for early defibrillation: what are the capabilities of automated external defibrillators].

Authors:  C W Israel; G Grönefeld
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2005-06

3.  Layperson's performance on an unconversant type of AED device: A prospective crossover simulation experimental study.

Authors:  Chao-Yu Lei; Heng-Wei Qin; Xue-Jie Dong; Jia-Lin You; Lin Zhang
Journal:  World J Emerg Med       Date:  2022

4.  Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia.

Authors:  Artzai Picon; Unai Irusta; Aitor Álvarez-Gila; Elisabete Aramendi; Felipe Alonso-Atienza; Carlos Figuera; Unai Ayala; Estibaliz Garrote; Lars Wik; Jo Kramer-Johansen; Trygve Eftestøl
Journal:  PLoS One       Date:  2019-05-20       Impact factor: 3.240

5.  Fuzzy and Sample Entropies as Predictors of Patient Survival Using Short Ventricular Fibrillation Recordings during out of Hospital Cardiac Arrest.

Authors:  Beatriz Chicote; Unai Irusta; Elisabete Aramendi; Raúl Alcaraz; José Joaquín Rieta; Iraia Isasi; Daniel Alonso; María Del Mar Baqueriza; Karlos Ibarguren
Journal:  Entropy (Basel)       Date:  2018-08-09       Impact factor: 2.524

6.  Predict Defibrillation Outcome Using Stepping Increment of Poincare Plot for Out-of-Hospital Ventricular Fibrillation Cardiac Arrest.

Authors:  Yushun Gong; Yubao Lu; Lei Zhang; Hehua Zhang; Yongqin Li
Journal:  Biomed Res Int       Date:  2015-09-02       Impact factor: 3.411

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.