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Device and method for electrocardiosignal baseline recognition

An electrocardiographic signal and identification method technology, applied in the field of biomedical engineering, can solve the problems of no direct identification of electrocardiographic signal baseline, no baseline drift, signal distortion, etc., and achieve important economic and social effects.

Active Publication Date: 2014-07-02
CHONGQING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the existing researches all use baseline drift suppression technology (such as filtering technology, wavelet transform and fitting technology) to suppress baseline drift. Functional ECG baseline drift correction method, but there is no research report on the direct identification of the ECG signal baseline. Studies have shown that although the baseline drift suppression technology has suppressed large baseline drift, it has caused drift without baseline drift, and at the same time cause signal distortion

Method used

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  • Device and method for electrocardiosignal baseline recognition
  • Device and method for electrocardiosignal baseline recognition
  • Device and method for electrocardiosignal baseline recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] A kind of electrocardiographic signal baseline identification method, such as figure 2 shown, including:

[0043] Step 201. Obtain the original ECG sequence data EcgData.

[0044] The original ECG sequence data EcgData may be collected by an ECG acquisition device, or may be offline data derived from the ECG sequence, which is not limited in the present invention. The original ECG sequence EcgData is a one-dimensional array, and the sequence length is expressed as LS, assuming that the sampling rate of the original ECG sequence data is F.

[0045] Step 202, calculating the differential absolute value sequence DiffAbs of the original ECG sequence.

[0046] Step 203, use the sliding window to sum the difference absolute value sequence DiffAbs to obtain the window difference and sequence DiffSumAbs, and use the window center data subscript as the difference and sequence subscript, and its sum value as its value The size of the sliding window is (0.2-3)×F, and the slidi...

Embodiment 2

[0057] A kind of electrocardiographic signal baseline identification method, such as image 3 shown, including:

[0058] Step 301. Obtain the original ECG sequence data EcgData.

[0059] The original ECG sequence data EcgData may be collected by an ECG acquisition device, or may be offline data derived from the ECG sequence, which is not limited in the present invention. The original ECG sequence EcgData is a one-dimensional array, and the sequence length is expressed as LS.

[0060] Step 302. Calculate the differential absolute value sequence DiffAbs of the original ECG sequence.

[0061] Step 303, use the sliding window to sum the difference absolute value sequence DiffAbs to obtain the window difference and sequence DiffSumAbs, and use the window center data subscript as the difference and sequence subscript, and its sum value as its value The sliding window size is 0.2-3 seconds; calculate the minimum value of the window difference and sequence DiffSumMin=min(DiffSumAb...

Embodiment 3

[0071] An ECG baseline recognizer, such as Figure 4 As shown, it includes a data input module 80, a FIFO buffer module 82, a central control module 84, a baseline identification module 86, and a data output module 88;

[0072] The data input module 80 is used to obtain the original ECG sequence data, and store the obtained data into the FIFO buffer module 82; it can be an ECG data acquisition device, or an external device storing offline data of the ECG sequence. The invention is not limited thereto.

[0073] In particular, the data input module 80 includes a level control unit. When the level control unit is at a low level, the data input module 80 does not acquire ECG data. When the level control unit is at a high level, the data The input module 80 acquires ECG data; when data needs to be received, the level control unit changes from low level to high level to acquire original ECG sequence data.

[0074] The FIFO buffer module 82 is used to buffer and store the original ...

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Abstract

The embodiment of the invention provides an electrocardiosignal baseline recognizer which comprises a data input module, an FIFO (First In First Out) buffer module, a central control module, a baseline recognition module and a data output module, and the embodiment of the invention further provides an electrocardiosignal baseline recognition method. Through directly recognizing the baseline position, the analytical calculation to the subsequent electrocardiogram analysis is carried out directly based on the baseline position, the baseline drift rejection technology is not required to perform pretreatment, so that the error caused by the application of the baseline drift rejection technology can be effectively reduced, and meanwhile, the subsequent electrocardiogram analysis is simpler and more convenient.

Description

technical field [0001] The invention relates to the field of biomedical engineering, in particular to an electrocardiographic signal baseline recognizer and a recognition method. Background technique [0002] Theoretically, the baseline of the ECG signal is generally a flat signal with zero potential difference, see figure 1 As shown, in general, a series of waveforms with different heights and widths will be recorded on the ECG in one cardiac cycle: including P waves, QRS complexes, T waves and U waves (sometimes there is no U wave), and there is a certain gap between each waveform. Time recordings are made on isoelectric lines (called baselines), called the P-R interval, the S-T segment, and the Q-T interval, respectively. However, during the recording process of the ECG, due to the change of electrode resistance, the change of polarization potential of the electrode, the DC bias drift of the ECG amplifier, human breathing or slow movement of other muscles, the potential ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0452
Inventor 曾垂省谢永芳舒坤贤李章勇赵志强
Owner CHONGQING UNIV OF POSTS & TELECOMM