Pace-making electrocardio-signal non-equilibrium deep compression method

Abstract

The invention relates to a pace-making electrocardio-signal non-equilibrium deep compression method which comprises the steps of conducting rapid content sensing of pace-making electrocardio signals, and conducting non-equilibrium synergy data compression and reconstitution on representation waveforms and non-representation waveforms. According to the pace-making electrocardio-signal non-equilibrium deep compression method, in order to solve the problems that pace-making pulses and other electrocardio waveform frequencies are large in distributional difference and the weight difference exists in the representation waveforms and the non-representation waveforms in clinical diagnosis, different compression and reconstitution strategies can be used for the representation waveforms and the non-representation waveforms in a targeted mode on the premise that requirements of the Nyquist sampling theory are not met. According to the pace-making electrocardio-signal non-equilibrium deep compression method, 1/2 of the inherent frequency of pace-making pulse signals is used for sampling, compressed sensing and Huffman encoding processing are carried out on the representation waveforms in the same time window, and non-distortion sampling and Huffman encoding are carried out on the non-representation waveforms in the same time window. On the premise that non-distortion of the clinical diagnosis message is guaranteed, the compression ratio and the reconstitution accuracy of data are improved, and the reliable operation of a wireless monitoring terminal of a pacemaker is guaranteed.

Description

Technical field [0001] The present invention relates to deep compression of pacing ECG data with high sampling frequency, and is suitable for performing content perception and compression sensing on pacing ECG signals in an embedded computer environment (embedded terminal, mobile phone, wireless sensor node, etc.) and compression and reconstruction. It can be used for compression and reconstruction of high-speed signals such as pacing ECG signals by personal computers, servers, and cloud computing platforms. It can also be used for high-speed data acquisition of wireless sensor nodes and low-energy design of wireless sensor nodes. Background technique [0002] With the launch of the safe distance between cardiac pacemakers and electromagnetic compatibility of wireless communication devices, and the continuous improvement of the anti-electromagnetic interference technology of cardiac pacemakers, the remote ECG monitoring platform based on wireless sensing and mobile communica...

AI Technical Summary

Problems solved by technology

Otherwise, the computational complexity of the compressive sensing process will be high due to the large size of the original data itself or the factors of sparse decomposition and measurement matrix

[0005] In view of the above problems, the purpose of the present invention is to provide a pacing ECG data processing method based on content sensing and compressed

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