The Visualization On Sequences Features Of ECG Signal Based On The Variant Measure

With raging of the new concept of big data and cloud computing, data analysis becomes increasingly important in the various industries. In traditional medicine ECG diagnosis, physicians often use ECG data within a limited time and analysis1D sequential ECG signal, it is regarded as an important basis for the diagnosis of cardiovascular disease. The classic electrocardiogram diagnostic technology has become reliable clinical diagnostic techniques. Because the traditional ECG analysis technology only analysis ECG signal within different segments, it is difficult to cope with massive real-time monitoring data.Variable measurement as a new measurement mode to ECG data analysis, it can processed measurement data of a longer period of time. The paper established the ECG data processing model basis on Variable measurement and the defined variables Dimension-vector to measure ECG sequences from1D Multi-valued time measurement data for the ten probability measure, and mapped different characteristics space. It uses of mainstream technology to form visual image of the results of ECG sequences features.The paper uses the actual ECG data and shown the picture of the relevant ECG characteristics, it can distinguish between the different phases of QRS illustration.