Ventricular fibrillation combined detecting method based on complexity

Abstract

The invention discloses a ventricular fibrillation comprehensive detection method which is based on the complexity. It mainly uses complexity calculation, adopts a number of processing tools, comprehensively detects the ventricular fibrillation combining a number of characteristic numbers, separates various kinds of electrocardiosignal types more effectively, and makes it more suitable for reflecting ventricular fibrillation signals through updating the calculation method of complexity. The sensibility and the specificity are higher and the algorithm amount of calculation is small; it fully meets clinical requirements, resolves the problems of prior patient monitor, implantable defibrillator (ICD), automatic external defibrillator (AED) and other medical equipment, such as sensibility and the specificity are low, anti-interference power is weak and other issues.

Description

【Technical field】 [0001] The invention relates to a detection method of body surface electrocardiogram (ECG), in particular to a detection method of ventricular fibrillation (VF). 【Background technique】 [0002] The results of searching IEEE database, ELSEVIER database, VIP database, Wanfang database, US Patent Office, China Patent Office and European Patent Office show that as early as the 1960s, some people abroad began to study ventricular fibrillation, but for a long time None of them have attracted people's attention, and there are not many research results, and it is difficult to meet the clinical requirements. In the past ten years, because the incidence of ventricular fibrillation has been increasing, but the rescue survival rate has not made great progress, the automatic detection and defibrillation of ventricular fibrillation has attracted more and more attention from various relevant departments of the society. The Heart Association (AHA) also appealed to develop...

AI Technical Summary

Problems solved by technology

[0017] In the above-mentioned prior art, there are main disadvantages: 1) the proposed algorithm is computationally complex; 2) only through the judgment of heart rate and complexity in the algorithm, ventricular fibrillation can be directly judged. In fact, ventricular tachycardia, supraventricular tachycardia, AF, AFL The complexity is high, it is easy to cause misjudgment

3) The sensitivity and specificity are not high, the main reason is that VF and ventricular tachycardia (VT, Ventricular Tachycardia), atrial fibrillation (AF, Atrial Fibrillation), atrial flutter (AFL, Atrial Flutter), supraventricular tachycardia (SVT, superventricular tachycardia) and so on, and failed to fully consider the impact of various noises, so it is difficult to meet clinical requirements

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