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Real-time lossless electrocardiosignal compression method and device based on adaptive prediction and variable length coding improvement

An adaptive prediction and variable-length coding technology, which is applied in the field of signal processing, can solve the problems of not being able to achieve both real-time performance, lossless power consumption and low power consumption, and achieve the effect of both real-time performance, lossless power consumption and low power consumption

Active Publication Date: 2014-11-19
杭州质子科技有限公司
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Problems solved by technology

[0007] In order to overcome the shortcomings of the existing ECG signal data compression technology that cannot be real-time, lossless and low power consumption, the present invention provides a real-time, lossless and low power consumption based on adaptive prediction and improved variable Long coded ECG signal real-time lossless compression method and device

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  • Real-time lossless electrocardiosignal compression method and device based on adaptive prediction and variable length coding improvement
  • Real-time lossless electrocardiosignal compression method and device based on adaptive prediction and variable length coding improvement

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Embodiment 1

[0043] A method for real-time lossless compression of ECG signals based on adaptive prediction and improved variable-length coding, said method comprising the following steps:

[0044] 1) Adaptive partition prediction, which divides the real-time ECG waveform into different partitions according to its fluctuation intensity, and the partitions include: a) initial area, used to represent the initialization state after system startup; b) R wave area, used for Indicates the area where the R wave or QRS complex is located; c) flat area, used to indicate the relatively flat area between adjacent R waves; d) fluctuating area, used to indicate the transition area from the flat area to the R wave area, that is, R the short-lived region before the arrival of the wave;

[0045]Adaptively select the optimal linear prediction method for the current partition, the process is as follows:

[0046] 1.1) R wave detection method, set a threshold for the slope to detect the rising edge and falli...

Embodiment 2

[0074] refer to figure 1 with figure 2 , a real-time lossless ECG signal compression device based on adaptive prediction and improved variable-length coding, the device includes: an adaptive partition prediction module for inputting ECG data, performing adaptive partition prediction on it, and outputting prediction errors To improve the variable-length encoding device; improve the variable-length encoding module, for inputting the prediction error, improve the variable-length encoding to it, and output the byte encoding;

[0075] Wherein, the adaptive partition prediction module includes: an R wave detection unit, a partition conversion control unit, and an adaptive prediction unit;

[0076] The R wave detection unit is the basis of the system realization, and its main function is to detect the rising and falling edges of the R wave. For each sampling point input, the R-wave detection unit calculates the slope value of the point, that is, the difference between the current ...

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Abstract

The invention relates to a real-time lossless electrocardiosignal compression method based on adaptive prediction and variable length coding improvement. The method comprises the following steps of adaptive partition prediction and variable length coding improvement, wherein the real-time electrocardiographic wave is divided into different partitions according to the fluctuation intensity, and the partitions comprise an initial area, an R-wave area, a flat area and a fluctuation area, and the optimal linear prediction method to the current partition is adaptively selected; and 24=16 prediction errors in which 4-bit coding has the highest probability are adopted, the rest predication errors adopt 12-bit to output raw data, coded data are packed in a pairwise mode, and the length of each obtained data packet is fixed to be one, two or three bytes. The invention also provides a real-time lossless electrocardiosignal compression device based on adaptive prediction and variable length coding improvement. The method and the device of the invention have the advantages of real-time performance, no-loss performance and low power consumption.

Description

technical field [0001] The invention relates to the field of signal processing, and more specifically, to a data compression method and device for human electrocardiogram signals. Background technique [0002] In recent years, the electrocardiogram (ECG) has gradually become one of the most commonly used means of diagnosing heart disease. Studies have pointed out that a variety of heart diseases, including cardiac arrest, are more likely to show specific symptoms before the onset, and last for more than 15 minutes. Some of these symptoms can be detected from the waveform characteristics of the ECG, therefore, long-term continuous ECG monitoring is required to make an effective early warning of sudden cardiac disease. However, the traditional Holter monitoring machine brings a lot of inconvenience to the life of the carrier due to its large size and other shortcomings. At present, the collaborative work of wearable ECG monitoring equipment and smart phones has great potenti...

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Application Information

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IPC IPC(8): H04N19/13H04N19/103
Inventor 潘赟李珂陈方剑王吉轩朱永光茹晨光朱怀宇
Owner 杭州质子科技有限公司
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