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Method and device for real-time lossless compression of ECG signals based on adaptive prediction and improved variable-length coding

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 combine real-time, lossless and low power consumption, and achieve the effect of combining real-time, low power consumption and lossless power consumption

Active Publication Date: 2017-08-11
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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  • Method and device for real-time lossless compression of ECG signals based on adaptive prediction and improved variable-length coding
  • Method and device for real-time lossless compression of ECG signals based on adaptive prediction and improved variable-length coding

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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 and 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 s...

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Abstract

A method for real-time lossless compression of ECG signals based on adaptive prediction and improved variable-length coding, the method comprising the following steps: 1) Adaptive partition prediction, dividing real-time ECG waveforms into different partitions according to their fluctuation intensity, so The partition includes: a) initial area, b) R wave area, c) flat area, d) fluctuation area; adaptively select the optimal linear prediction method for the current partition; 2) improve variable length coding, adopt 4-bit coding The most probable 2 4 = 16 kinds of prediction errors, the rest of the prediction errors use 12 bits to output the original data, and pack the coded data in pairs, so that the length of each data packet is fixed at one, two or three bytes. And provide a real-time lossless compression device for ECG signals based on self-adaptive prediction and improved variable-length coding. The invention has real-time, lossless 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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