Application method of hybrid continuous information analysis technology in medicine

Abstract

The invention discloses an application method of a hybrid continuous information analysis technology in medicine. The method comprises the following steps: acquiring an electrocardiogram signal from electrocardiogram equipment by virtue of an electrocardiogram signal acquisition module in an electrocardiogram hybrid continuous analysis system; then pre-processing the electrocardiogram signal by virtue of an electrocardiogram detection module; extracting signal characteristics from the processed signal by virtue of an electrocardiogram detection method, and forming a plurality of basic heart rate events which are analyzed by a composite event processing heart rate identification module; comparing the basic heart rate events with information in a patient historical database module by virtue of the composite event processing heart rate identification module through a hybrid continuous analysis module therein, so that abnormal heart rate events are identified out; transmitting an abnormal heart rate alarm and pre-diagnosis information to a pre-diagnosis output module in the case of serious abnormal heart rate events; and transmitting alarm and help information to patient's doctors and / or family members by virtue of the pre-diagnosis output module.

Description

technical field [0001] The invention relates to an application method of a hybrid continuous information analysis technology, in particular to a medical application method of a hybrid continuous information analysis technology. Background technique [0002] The electrocardiogram (electrocardiograms, ECG) is the bioelectrical change accompanied by the heart beat in each cardiac cycle. The graph of various forms of potential changes is drawn from the body surface by the electrocardiography device, which gives the heart of each person. It can help analyze the abnormal heartbeat in the ECG signal. Periodic P, QRS, and T wave sequences can be observed in the ECG. In this sequence, the QRS wave group has the largest amplitude, and its detection helps to calculate its surrounding P, T waves and other characteristics of the heartbeat of. [0003] Cardiovascular disease has always been one of the main causes of harm to human health and death, and the identification and analysis of ...

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Problems solved by technology

[0004] For the above three forms, there are three common problems to face: First, the patient’s medium and long-term ECG data are not archived, which means that the patient’s recovery or condition cannot be analyzed through the analysis of historical ECG degree of deterioration

Secondly, for the analysis of the electrocardiogram, after the patient gets the electrocardiogram recorded on the paper, he has to find a professional doctor to analyze it, which is not real-time, and there is nothing he can do to save a sudden heart attack.

Third, only critically ill patients can obtain professional medical help. For a large number of elderly people who generally suffer from hypertension and coronary heart disease, they have no way to understand their daily physical conditions

We can find that the normal heartbeat of the human body is 60-100 beats per minute through Internet searches, so there is a problem with this value. For example, if a person's normal heartbeat is 60 beats per minute, if his heartbeat suddenly becomes 100 beats per minute , although the value is still in the range of normal heartbeat, it is already in tachycardia for him

In addition, some people's normal heartbeat itself is high or low, some people's normal heartbeat is above 110 beats per minute, and some people's normal heartbeat is below 60 beats per minute. If you judge, you will inevitably make mistakes.

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