Combining Amplitude Spectrum Area with Previous Shock Information Using Neural Networks Improves Prediction Performance of Defibrillation Outcome for Subsequent Shocks in Out-Of-Hospital Cardiac Arrest Patients

OBJECTIVE: Quantitative ventricular fibrillation (VF) waveform analysis is a potentially powerful tool to optimize defibrillation. However, whether combining VF features with additional attributes that related to the previous shock could enhance the prediction performance for subsequent shocks is st...

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Detalles Bibliográficos
Autores principales: He, Mi, Lu, Yubao, Zhang, Lei, Zhang, Hehua, Gong, Yushun, Li, Yongqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4749245/
https://www.ncbi.nlm.nih.gov/pubmed/26863222
http://dx.doi.org/10.1371/journal.pone.0149115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4749245/
https://www.ncbi.nlm.nih.gov/pubmed/26863222
http://dx.doi.org/10.1371/journal.pone.0149115

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