Electrocardiogram data compression method and system and decompression method and system

By employing differential processing and adaptive variable-length coding, ECG data is compressed in frames, resolving the imbalance between computational complexity and compression efficiency in existing technologies. This achieves lossless compression with high compression ratio and low computational complexity, making it suitable for embedded devices.

CN122457066APending Publication Date: 2026-07-24HANGZHOU PROTON HEART PET TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202610490262.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-14
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing ECG data compression algorithms struggle to achieve a good balance between computational complexity and compression efficiency on embedded devices, making real-time operation impossible.

Method used

Differential processing and adaptive variable-length coding are used to perform frame processing on ECG data. By taking advantage of the strong correlation of ECG signals, the difference is converted into a small value close to zero and compressed through various coding rules to adapt to coding strategies with different numerical ranges.

Benefits of technology

It achieves high compression ratio, low computational complexity, and lossless or near-lossless compression, making it suitable for real-time operation on embedded devices and flexibly adapting to the needs of different application scenarios.

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Abstract

The invention relates to the technical field of electrocardio data processing, in particular to an electrocardio data compression method and system and a decompression method and system.The method comprises the steps that collected original data is converted to obtain an electrocardio sequence with a preset bit width; framing the electrocardiogram sequence to obtain a plurality of frames; carrying out differential calculation on all sampling points except the frame first sampling point in each frame to obtain a difference value, and selecting a corresponding coding rule according to the difference value to carry out compressed coding; wherein the multiple coding rules comprise a first coding rule corresponding to a first numerical value range and L second coding rules corresponding to a plurality of numerical value ranges exceeding the first numerical value range, and the coding result length corresponding to the first coding rule comprises a compression bit width, the coding result length corresponding to the second coding rule comprises the compression bit width and the characteristic value bit width. The method has the effect that the compression efficiency, the calculation complexity and the implementation difficulty can be well balanced on the embedded equipment.
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