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Efficient and accurate signal preprocessing method and signal wave crest detecting method

A preprocessing and signal technology, applied in the field of medical signal processing, can solve problems such as inefficiency and inaccuracy, and achieve the effects of reducing complexity, good amplitude-frequency characteristics, and fast speed

Inactive Publication Date: 2017-07-25
深圳市卡迪赛克科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Current methods are generally inefficient and inaccurate

Method used

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  • Efficient and accurate signal preprocessing method and signal wave crest detecting method
  • Efficient and accurate signal preprocessing method and signal wave crest detecting method
  • Efficient and accurate signal preprocessing method and signal wave crest detecting method

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Embodiment 1

[0045] This embodiment proposes an efficient and accurate signal preprocessing method, which is used to eliminate or reduce the influence of baseline drift, power frequency interference and electromyographic interference.

[0046]There are many ways to eliminate baseline drift, power frequency interference, and EMG interference. The typical one is filtering, which is divided into hardware filtering and software filtering from the physical structure of the realization, and includes digital filtering, wavelet transform filtering, and mathematical morphology from the principle algorithm. filtering etc. Instructions are given below.

[0047] The methods to eliminate baseline drift mainly include filtering method and wavelet transform-based removal method. Filtering method is the most commonly used method to eliminate baseline drift because of its simple filter algorithm, fast speed, easy software and hardware implementation, and relatively good real-time performance. It mainly in...

Embodiment 2

[0060] This embodiment discloses an efficient and accurate signal peak detection method.

[0061] Waveform detection and identification and parameter extraction are the prerequisites for automatic analysis of ECG signals and respiratory signals, and the key to waveform detection is the detection of peaks. For ECG signals, it is the detection of R waves, and for respiratory signals, it is the detection of peaks. Since the R wave of the ECG signal and the peak of the respiratory signal are significantly different from other waveforms and noises in amplitude and frequency, the general peak detection algorithm uses this remarkable feature to achieve detection. When the position of the R wave of the ECG signal is determined, the RR intervals can be calculated accordingly to determine whether the heart rate is abnormal; when the position of the peak of the respiratory signal is determined, the respiratory rate and depth can be calculated accordingly.

[0062] There are many peak det...

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Abstract

The invention discloses an efficient and accurate signal preprocessing method and a signal wave crest detecting method. The signal preprocessing method comprises the following steps: the step of eliminating baseline drift, namely, enabling original signals to pass through an integral coefficient filter realizing subtraction of low pass from all pass, so that the influences of the baseline drift are eliminated; and the step of eliminating influences, namely, enabling the signals processed by the integral coefficient filter realizing subtraction of low pass from all pass to pass through an integral coefficient low-pass filter, so that the influences of the electromyographical interference and power frequency interference are eliminated. For the signal preprocessing method provided by the invention, the signals can be preprocessed in real time, the signal preprocessing method has the advantages that the speed is high, the instantaneity is good, the realization is easy, and the complexity of the filtering algorithm is reduced; for the signal wave crest detecting method provided by the invention, the wave crest detecting efficiency and accuracy are improved, the realizing complexity of the algorithm is reduced, and the resource consumption for realizing algorithm hardware is greatly saved.

Description

technical field [0001] The present application relates to the technical field of medical signal processing, in particular to an efficient and accurate signal preprocessing method and a signal peak detection method. Background technique [0002] Biomedical signals can reflect the physiological state of the living body itself, which is a weak signal in the background of strong noise. For the human body, the ECG signal and the respiratory signal are two very important biomedical signals. The ECG signal and the respiratory signal are extracted from the background noise and the interference is eliminated for subsequent waveform detection and identification and parameter extraction, thereby The physiological state of the human body can be obtained. The main noise sources of ECG and respiratory signals are baseline drift, power frequency interference and EMG interference. Eliminating the interference in the ECG and respiratory signals is extremely critical but resource-consuming....

Claims

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Application Information

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IPC IPC(8): A61B5/00
CPCA61B5/7203A61B5/7235A61B5/725
Inventor 郭朝阳林科郑征黄枫
Owner 深圳市卡迪赛克科技有限公司
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