作者: Peter Kudenchuk , Christopher Neils , Jason Coult , Lawrence Sherman , Allison Chin
DOI:
关键词: Computer science 、 Signal 、 Error signal 、 Cardiopulmonary resuscitation 、 Electronic engineering 、 Spectrum analyzer 、 Speech recognition 、 Shockable rhythm
摘要: Examples of systems, apparatuses, and methods for classification electrocardiogram signals during cardiopulmonary resuscitation are described. An example system may include a defibrillator comprising an analyzer. The analyzer be configured to apply prediction modeling technique signal generate predicted signal. captured from patient undergoing resuscitation. further subtract the error classify rhythm as one shockable or non-shockable based on Decision parameters derived used in conjunction with machine learning