Quick and real-time electrocardiogram data compression algorithm suitable for low-power consumption systems

Abstract

The invention provides a quick and real-time electrocardiogram data compression algorithm suitable for low-power consumption systems, which can use fewer system resources to quickly compress the electrocardiogram data. The compression algorithm comprises the following steps of a, setting length N and calculation depth D of a data compression packet; if lossy compression is performed, setting lossycompression parameters; b, according to the calculation depth D, performing D-order differential operation on previous N data of an inputted data stream, so as to obtain a difference array, namely dev_1 to dev_N-D-1; c, sequencing the difference array, so as to obtain an array from small to large, namely a_1 to a_N, and a maximum value Max; d, if a section of which the value is not higher than Hbut is continuously smaller than K exists in the array, recording the position b of the starting value and number h of the section, and treating all data in the section as 0; e, setting the unit length of a bit stream of a result as n, and writing the difference values into the result in sequence; when the length is not enough, supplementing the lead to 0; f, setting the typical data structure ofthe compression packet as: head data |dev_1| to |dev_N|; g, after the setting of the bit stream is finished, respectively adding two-byte boundary markers at both ends.

Description

technical field [0001] The invention relates to the technical field of electrocardiographic data processing, in particular to a fast real-time electrocardiographic data compression algorithm suitable for low power consumption systems. Background technique [0002] With the rapid development of society, social pressure is increasing, and the aging of society is becoming more and more serious. Cardiovascular disease has gradually become the number one killer of human health and is spreading rapidly. Due to the lack of adequate prevention and monitoring methods, heart disease patients often ignore their condition and do not seek treatment until the disease develops seriously, missing the best time for treatment, and even having a sudden heart attack unexpectedly. Therefore, the demand for portable ECG acquisition and real-time monitoring systems that can be used conveniently and for a long time is increasing, and related products and inventions have also emerged as the times re...

AI Technical Summary

Problems solved by technology

The micro ECG device is based on an embedded system design, and the system resources are extremely limited. The usual compression algorithm will encounter the problem of excessive system resource usage, or even failure to run.