The invention discloses a
rapid identification method applied to
defibrillation requirements of an AED device, and belongs to the technical field of
medical equipment. According to the method, multiple links including acquisition, preprocessing,
feature extraction, mode classification, real-time classification and
defibrillation triggering work cooperatively, and advanced
signal classification and mode recognition technologies are introduced, so that efficient and accurate electrocardiosignal analysis is realized in the AED device, the response speed and accuracy in the
emergency treatment process are remarkably improved, and the
emergency treatment efficiency is improved. Multi-dimensional features of electrocardiosignals are extracted and input into a pattern classification model, automatic recognition of arrhythmia is achieved, whether
defibrillation operation needs to be carried out or not can be accurately judged, the possibility of misjudgment is reduced, self-optimization can be carried out according to new electrocardiosignal data through a
dynamic learning and retraining mechanism, and the accuracy of defibrillation is improved. The
adaptive capacity to a complex heart
rhythm mode is improved, the first-aid
response time is effectively shortened, the safety of a patient is guaranteed, and the first-aid efficiency and the
treatment effect are improved.