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Electrocardiogram baseline removal

An electrocardiogram and baseline technology, applied in medical science, diagnosis, instruments, etc., can solve the problems of incomplete filtering of baseline changes, calculation errors, etc., and achieve the effect of easy implementation and reduced distortion

Active Publication Date: 2014-06-11
DRAGERWERK AG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Cubic splines can be prone to errors in the calculation of equipotential reference points, especially in the presence of noise
However, this method cannot completely filter out baseline changes when the heart rate is low

Method used

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  • Electrocardiogram baseline removal
  • Electrocardiogram baseline removal
  • Electrocardiogram baseline removal

Examples

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Embodiment Construction

[0025] figure 2 System diagram 200 is a system diagram 200 for an ECG baseline change filtering system. The input ECG 210 is passed to a low pass filter 220 to produce a filtered signal whose high frequency components are filtered out. The filtered signal is then passed to a Savitzky-Golay (SG) filter 230 , which produces an estimate of the baseline change of the input ECG 210 . The SG filter is a filter that performs a local polynomial regression (of degree k) on a series of values ​​(of at least k+1 points) to determine a smoothed value for each point. One advantage of this method is that it preserves characteristics of the distribution, such as relative maxima, minima, and width, which are often "flattened" by other adjacent averaging techniques such as moving averages, for example. ECG 210 may also be passed to delay module 240 to be delayed in time (eg, time shifted). The delay can compensate for any delay introduced by the processing of the low-pass filter 220 and th...

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Abstract

A system includes a low pass-filter and a Savitzky-Golay filter. The low-pass filter receives and processes a first electrocardiogram signal. The filter removes at least the high frequency components of the first electrocardiogram signal. The Savitzky-Golay filter estimates a baseline variation of the first electrocardiogram signal from the filtered first electrocardiogram signal. Related apparatus, systems, techniques and articles are also described.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of the filing date of US Provisional Application No. 61 / 532,327, filed September 8, 2011, the contents of which are hereby incorporated by reference. technical field [0003] The subject matter described herein relates to techniques, methods, systems, and articles for filtering low frequency signal components from physiological signals, such as electrocardiogram signals. Background technique [0004] An electrocardiogram (ECG) is a test that records the electrical activity of the heart as recorded by electrodes attached to the outer surface of the skin. Changes in impedance between the recording electrodes and the skin due to breathing or other physical activity can cause baseline changes (also known as low frequency drift) in the ECG signal. Baseline variation is a type of noise in the ECG signal. figure 1 is a graph 100 illustrating an example ECG signal including a change from b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/04G06K9/00
CPCA61B5/725G06K9/00503A61B5/04017A61B5/7203A61B5/316G06F2218/02
Inventor L·郑陈宇
Owner DRAGERWERK AG
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