A device for analyzing pathological events

Abstract

The invention discloses a pathological event analysis method and device, comprising the following steps: A1, storage step: storing detected pathological event data, physiological parameter measurement values ​​and the corresponding time when they occur, the storage process takes time as The primary key is to establish an index logic table including data and time, and associate the data; B1, the waveform display step: according to the stored data, the physiological parameters related to the selected pathological event are expressed in the first time and the measured value respectively. Trend display area and waveform display area for the first coordinate and the second coordinate. Through the present invention, medical personnel can clearly browse the curve trend of the patient's physiological parameters during the entire monitoring / treatment period through the correlation of pathological events, and can analyze the waveform data in detail in real time, providing decision-making basis for the medical personnel to treat the patient in the next step.

Description

【Technical field】 [0001] The invention relates to a medical defibrillator or monitor, in particular to a method and device for analyzing waveforms of pathological events. 【Background technique】 [0002] In the critical situation of the patient, the doctor may use the defibrillator to rescue the patient. During the first aid process, the defibrillator monitors the patient's physiological parameters and stores them for future analysis by the doctor for the next step. Prepare for medical treatment or possible emergencies. However, the existing defibrillation monitors have the following disadvantages: usually after the patient's monitoring or treatment is completed, the patient's data is exported to other PCs, and data analysis is performed on the PC. The main object of analysis is the parameter waveform. For the purpose of pathological research. However, this method cannot provide a trend diagnosis of pathological data during the interval of defibrillation treatment, especial...

AI Technical Summary

Problems solved by technology

However, the existing defibrillation monitors have the following disadvantages: usually after the patient's monitoring or treatment is completed, the patient's data is exported to other PCs, and data analysis is performed on the PC. The main object of analysis is the parameter waveform. For Pathological Research Purposes

However, this method cannot provide a trend diagnosis of pathological data during the interval of defibrillation treatment, especially the existing equipment does not use a large-capacity memory card, and its storage capacity for data is relatively small, which limits the use of its models. With the provision of data analysis and diagnosis functions, medical staff cannot browse all the data, nor can they conduct comprehensive diagnosis and analysis on pathological data

Moreover, this approach cannot provide diagnostic analysis of pathological data during the patient's treatment interval, which may delay the patient's condition.

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