Electrocardio normality/abnormality big-data processing method and device

A technology of big data processing and electrocardiographic data, applied to the recognition of medical/anatomical patterns, instruments, and pattern recognition in signals to achieve the effect of reducing workload

Inactive Publication Date: 2015-08-12
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Problems solved by technology

There is not yet a more mature method to support ECG screening by identifying whether the ECG is abnormal or not

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  • Electrocardio normality/abnormality big-data processing method and device
  • Electrocardio normality/abnormality big-data processing method and device
  • Electrocardio normality/abnormality big-data processing method and device

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. These more detailed descriptions are intended to help the understanding of the present invention and should not be used to limit the present invention. From the present disclosure it will be apparent to those skilled in the art that the present invention may be practiced without some or all of these specific details. In other instances, well known operating procedures have not been described in detail in order not to obscure the invention.

[0039] Such as figure 1 As shown, the ECG positive / abnormal big data processing method in some embodiments includes a normal ECG database, which stores as many normal ECG data as possible, and each piece of normal ECG data includes index data and heartbeat-based ECG data. Several beat waveform data obtained by data segmentation; wherein, the index data includes QRS band length, PR interval, QT interval and RR interv...

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Abstract

The invention discloses an electrocardio normality/abnormality big-data processing method and device, and the method employs a normal electrocardio database, and comprises the following steps: S1, partitioning to-be-classified electrocardio data according to cardiac beat, and then carrying out the normalization processing of length and amplitude, thereby forming a plurality of pieces of beat-wave-shaped data; S2, extracting the index data of to-be-classified electrocardio data; S3, determining a confidence interval according to the index data stored in the database, comparing the index data of the extracted to-be-classified electrocardio data with the confidence interval, and outputting a comparison result; S4, calculating the similarity of the plurality of pieces of beat-wave-shaped data obtained through the partitioning of the to-be-classified electrocardio data with waveform data, corresponding to cardiac beat, in the electrocardio data stored in the database, comparing the similarity with a similarity threshold value, and outputting the comparison results. The device comprises the normal electrocardio database, and a plurality of modules which are used for achieving the above steps. The device can achieve the reliable classification and screening of the electrocardiogram which is not diagnosed, and avoids false negative.

Description

technical field [0001] The invention relates to the fields of pattern recognition, big data analysis, and medical signal processing, in particular to a method and device for processing positive / abnormal big data of electrocardiogram. Background technique [0002] Electrocardiogram is a commonly used clinical examination. By recording the electrical activity of the heart in each cycle, it can help diagnose arrhythmia, cardiac ischemia, myocardial infarction, atrioventricular hypertrophy, conduction block, premature beats and other abnormalities. It can also be used to judge electrolytes and drug effects on the heart. [0003] At present, the popularity of ECG screening is largely limited by the number of cardiologists who can understand ECG. So many research institutions are devoted to the research and development of ECG automatic diagnosis system. At home and abroad, a variety of research methods have been used to realize the automatic classification of ECG by computer, su...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V2201/03G06F2218/16
Inventor 袁克虹赵敏王庆阳王彤
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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