A method for identifying characteristic peaks of intracranial pressure signals

A signal feature and feature peak technology, which is applied in the field of intracranial pressure signal feature peak recognition based on waveform feature extraction and template matching, can solve the problems of heavy manual identification workload, difficulty in ensuring accuracy, and low efficiency.

Inactive Publication Date: 2011-12-14
CHONGQING UNIV
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Problems solved by technology

[0005] In view of the above-mentioned deficiencies in the prior art, the technical problem solved by the method of the present invention is to provide a computer-implemented method for identifying characteristic peaks of intracranial pressure signals, which is used to solve the problems of heavy manual identification workload, low efficiency, and difficulty in ensuring accuracy. technical issues

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  • A method for identifying characteristic peaks of intracranial pressure signals
  • A method for identifying characteristic peaks of intracranial pressure signals
  • A method for identifying characteristic peaks of intracranial pressure signals

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Embodiment

[0167] In this embodiment, the intracranial pressure signals are collected by the intracranial pressure monitor (Codman-Hakim, Johnson & Johnson, the U.S.). These signals are digital signals with a sampling frequency of 4000 Hz, and these signals are input into a computer for low-pass filtering and sampling. For preprocessing, the filter uses a second-order Butterworth low-pass filter with a cutoff frequency of 25Hz and a sampling frequency of 600Hz to obtain an intracranial pressure signal to be measured, whose waveform is as follows figure 2 shown. Utilize the method of the present invention, adopt computer to carry out characteristic peak identification to this intracranial pressure signal to be measured, characteristic peak identification process is carried out as follows:

[0168] A) build template database; This step specifically comprises:

[0169] a1) The intracranial pressure monitor collects known intracranial pressure signals (period, amplitude, characteris...

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Abstract

The invention provides a method for recognizing intracranial pressure signal characteristic peaks. The method conducts comprehensive analysis in combination with the waveform profile of intracranial pressure, adopts a logistic polar distribution model, and uses point-to-point difference vector as a basic characteristic with translation and rotation invariance, so that the method can overcome the impact of intracranial pressure signals on baseline shift, is sensitive to the morphological characteristic of the adjacent waveform and can capture the overall profile information of the waveform, soas to improve the anti-interference capability of characteristic peak recognition as a whole; and during recognition, the characteristic peak in the average value signal of to-be-detected cadence signals is firstly recognized and then combined into a template database to improve recognition accuracy, and the chi-square statistical test with the advantages of strong robustness and high accuracy isused as a matching means to improve the overall robustness and recognition accuracy of the method. The method provided by the invention realizes computerized recognition of intracranial pressure signal characteristic peaks, and has wide application prospects.

Description

technical field [0001] The invention relates to the technical field of automatic detection and analysis of intracranial pressure, in particular to a method for identifying characteristic peaks of intracranial pressure signals based on waveform feature extraction and template matching. Background technique [0002] Increased intracranial pressure can lead to a series of physiological dysfunction and pathological changes, showing typical manifestations such as headache, nausea, vomiting, and papilledema. Severely increased intracranial pressure can also be complicated by complications such as pulmonary edema; it can also be caused by brain herniation. The formation of oppression or destruction of the hypothalamus causes autonomic dysfunction and can be life-threatening in a short period of time. It is the main cause of death caused by neurological and surgical diseases. In clinical testing, it is very important to accurately know the level of intracranial pressure and the tren...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/03
Inventor 杨力赵明玺彭承琳
Owner CHONGQING UNIV
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