Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Shenzhen Mindray Scientific Co., Ltd.

Junbiao Hong

Wenyu Ye

Shufeng Li

Zehui Sun

Mimi Hu

Renqiang Zou

Haoyu Jiang

Guanglei Zhang

Yu Yue

Shan Lu

A method for generating determination indexes for identifying ECG interfering signals includes acquiring ECG signals to obtain a sequence of data values representing original ECG signals; dividing the sequence of data values acquired during a period of time into groups and collecting all the minimum data values in their respective groups on a statistical basis; determining the minimum and the maximum data values in a minimum set made up of all the minimum data values in their respective groups; and using the difference between the minimum and the maximum data values as a first baseline drift determination index to identify at least one of low frequency interference and irregular interference.

Method and apparatus for generating determination indexes for identifying ECG interfering signals

A computer assisted cardiogram diagnostic system, comprises a diagnosing unit, for obtaining a plurality of preliminary diagnostic results according to the cardiogram signals; and an amending unit, for judging the plurality of preliminary diagnostic results, and amending the plurality of preliminary diagnostic results using conflict eliminating rules, in order to obtain amended diagnostic results.

Computer assisted cardiogram diagnostic system and the method thereof

The present application discloses a complexity-based method for synthetically detecting ventricular fibrillation, which centers on complexity calculations while incorporating a plurality of feature values and thus differentiates more effectively among various types of ECG signals. The method further modifies the complexity algorithm, making it more adapted to reflecting characteristics of the VF-related signals, thereby enabling high sensitivity and specificity of detection. Further, the related calculation load is reduced according to the algorithm. As such, the method can fully satisfy the clinical needs and is aimed for solving the problems of low sensitivity, low specificity and weak anti-interference ability present in current medical equipment for detecting ventricular fibrillation, such as monitors, implanted cardioversion defibrillator (ICD), automatic external defibrillator (AED) and so on. Systems for performing the method are also disclosed.

Method and apparatus for synthetically detecting ventricular fibrillation

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Nanshan, China

Junbiao Hong