Method and apparatus for scoring the reliability of shock advisory during cardiopulmonary resuscitation

Abstract

A method, system and device to detect and use clean ECG segments, which do not need filtering to remove artifact or CPR-induced noise, is described to provide a reliability score for the decision made by shock advisory algorithms. The method can be implemented in a system and / or device that is provided with a display for indicating to a user the relative quality of the determination of an electrotherapy analysis circuit.

Description

technical field [0001] The present invention generally relates to an improved method, system and apparatus for monitoring a subject's heart rhythm during application of cardiopulmonary resuscitation (CPR). More specifically, the present invention relates to a medical device that includes an improved diagnostic algorithm / method that analyzes patient physiological data during CPR and scores the reliability of the determination of whether an electrotherapy shock is indicated or not. If the device is a defibrillator, the reliability score provides guidance to the user and / or controls device electrotherapy circuitry based on the determination. Background technique [0002] Sudden cardiac arrest (SCA) is the leading cause of death in the United States. In approximately 40% of patients with sudden cardiac arrest (SCA), the initial cardiac rhythm observed is ventricular fibrillation (VF). CPR is a protocol treatment for SCA that includes providing cycles of chest compressions and ...

AI Technical Summary

Problems solved by technology

Another limitation is that no known filtering technique is perfect

No matter how good the filtering is, there is almost always at least some residual error left on the ECG that could potentially lead to a wrong determination of the underlying rhythm by the AED shock advice algorithm

During non-shockable rhythms, especially during asystole, this imperfect filtering of CC artifacts may cause the shock advice algorithm to incorrectly call a shockable rhythm, since the residual may look like VF to said algorithm

On the other hand, for shockable rhythms such as VF, filtering techniques may falsely filter out some VF information, which may thus make the rhythm appear non-shockable to the shock advice algorithm

In conclusion, none of the previously known techniques has been shown to provide an accurate and generally acceptable satisfactory ECG from which sufficiently reliable shock decisions can be made

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