Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function

A robust estimation and baseline drift technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as baseline drift frequency band uncertainty

Inactive Publication Date: 2012-06-20
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

[0009] In view of the deficiencies of existing algorithms and the uncertainty of the frequency band of baseline drift, the purpose of the prese

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  • Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function
  • Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function
  • Electrocardiogram baseline drifting correction method based on robust estimation and intrinsic mode function

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Embodiment Construction

[0045] The present invention will be described in detail below in conjunction with the accompanying drawings, and the technical problems and beneficial effects solved by the technical solution of the present invention are also described. play any limiting role.

[0046] figure 1 It is a schematic diagram of the method flow for filtering out the baseline drift of ECG signals based on MEM and EMD decomposition in the present invention. First, it is necessary to collect or extract an ECG signal of a certain length. In this embodiment, 3000 points of signal No. 104 from the MIT / BIH arrhythmia database are intercepted. The database is sampled at a sampling rate of 360Hz. In this way, the appropriate length selected for the sliding window length of the MEM used in the present invention is 120-200 points long. In this example, a length of 150 points is chosen.

[0047] Then the forward and backward extensions are carried out respectively through the first value and the last value...

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Abstract

The invention discloses an electrocardiogram baseline drifting correction method based on robust estimation and a plurality of intrinsic mode functions, belonging to the technical field of electrocardiosignal processing. Original electrocardiosignals to be treated are extended, then MEM filtration is carried out, filtration results are used as preliminary estimation BWe of the baseline drifting, the EMD (empirical mode decomposition) is carried for the filtration results to obtain a group of intrinsic mode functions IMF, and the IMF is screened based on testing with t; summation reconstruction is carried out for the selected IMF, and reconstructed results are deducted from the BWe obtained in the third step to obtain estimated baseline drifting signals BW; and then the BW is deducted from the original electrocardiosignals to obtain signals after correction. The supremum estimation of baseline drifting information is carried out via the MEM, more reasonable baseline drifting information can be obtained via EMD decomposition and correction, and thus high-quality electrocardiosignals can be obtained.

Description

technical field [0001] The invention relates to a method for correcting baseline drift of electrocardiographic signals, in particular to a method for correcting baseline drift based on solid-state modulus functions, and belongs to the technical field of electrocardiographic signal processing. Background technique [0002] Electrocardiogram (ECG) is widely used in the diagnosis of heart disease. High-quality ECG can help doctors diagnose and analyze physiological and pathological phenomena. However, in reality, ECG records are always disturbed by various external noises. Common noise can be summarized into the following two factors: (1) high-frequency noise caused by myoelectrically induced noise, power line interference, mechanical force acting on electrodes, etc.; (2) caused by patient's breathing movement or medical equipment baseline drift (BW). These human factors severely limit the acquisition of valuable information from ECG, so an accurate and stable noise filterin...

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Application Information

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IPC IPC(8): A61B5/0402
Inventor 辛怡郝维托陈煜李勤蔡冬琴康灵芝
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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