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Electrocardio signal transmission method based on self-adaptive codebook

A technology of adaptive codebook and ECG signal, applied in the direction of electrical signal transmission system, signal transmission system, application, etc., to achieve the effect of low-loss transmission

Inactive Publication Date: 2010-08-11
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0007] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a method for transmitting ECG signals based on an adaptive codebook. While compressing ECG data, the change of the channel environment is considered, and the existing hardware complexity is maintained. low loss transmission

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  • Electrocardio signal transmission method based on self-adaptive codebook
  • Electrocardio signal transmission method based on self-adaptive codebook
  • Electrocardio signal transmission method based on self-adaptive codebook

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Embodiment Construction

[0023] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0024] like figure 1 As shown, this embodiment includes the following steps:

[0025] Step 1, preprocessing the ECG signal.

[0026] The electrical signal collected from the human body surface is sequentially passed through the preamplifier, high-pass filter, main stage amplification, low-pass filter and AD conversion, and the collected signal is amplified and filtered to obtain the ECG signal. Afterwards, in order to remove interference sources such as power frequency interference near 50Hz and its multiplier and baseline drift below 0.7Hz in the ECG signal, software preprocessing should be performed on the coll...

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Abstract

The invention relates to an electrocardio signal transmission method based on a self-adaptive codebook, belonging to the technical field of wireless communication. The method comprises the following steps of: detecting and marking monitoring signals by a differential threshold method and a wavelet analysis method by preprocessing standard electrocardio analog signals collected by a body surface; regulating the self-adaptive codebook and fixing code vector selected in the codebook by adopting a rule of the minimum weighted mean square error; substituting the residue difference signals with the selected code vector; and adjusting the fitting speed of the code information source electrocardio signals and the order of a fitting function by a transmission end according to the estimation result of the channel to realize information source channel combination control transmission of electrocardio signals. In the invention, the variation of the channel environment is taken into account when electrocardio data is compressed, and low-consumption transmission is realized in case that the complexity of the traditional hardware is maintained.

Description

technical field [0001] The present invention relates to a method in the technical field of wireless communication, in particular to an adaptive codebook-based ECG signal transmission method for a multi-hop wireless body area network environment. Background technique [0002] With the development of society, people's pace of life is accelerating, pressure is increasing, and various diseases occur frequently, among which various heart diseases are an important cause of endangering human health; at the same time, the aging trend of the population in developed countries is obvious, and heart disease is also an major health challenges. In order to better protect human health, the wireless body area network capable of real-time monitoring of the human body has become an important technical hotspot at present. Electrocardiogram monitoring is a main monitoring method in wireless body area network. The wireless transmission of ECG signals is an important problem to be solved for th...

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Application Information

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IPC IPC(8): G08C19/00A61B5/0402
Inventor 李思谊蔡浩熊建高王炜钱良
Owner SHANGHAI JIAO TONG UNIV
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