Modification algorithm-based method for extracting simplex-wave feature points of intracranial pressure signals

Abstract

The invention provides a modification algorithm-based method for extracting simplex-wave feature points of intracranial pressure signals. The method comprises the steps of: denoising the intracranial pressure signals with a lifting wavelet transform method, primarily extracting the extreme point of each simplex wave in the intracranial pressure signals by windows, judging the accuracy of the extreme points through a modification algorithm, rejecting false feature points one by one, and finding out missed feature points, thereby guaranteeing the accuracy on identifying the feature points. The invention provides the method for extracting the simplex-wave feature points of the intracranial pressure signals by employing a computer platform as an application foundation so as to realize the automatic extraction of the simplex-wave feature points of the intracranial pressure signals by a computer; by taking the method disclosed by the invention as a foundation, the calculation of the feature parameters of each simplex wave by intracranial pressure signal analysis equipment is further facilitated, and the calculation precision on the simplex-wave feature parameters of the intracranial pressure signals is improved, therefore, rich clinical diagnosis information is obtained, the analysis and early warning capability for the intracranial pressure variation tendency is enhanced during clinical intracranial pressure monitoring, and the method has a broad application prospect in the medical equipment industry.

Description

technical field [0001] The invention relates to the technical field of automatic detection and analysis of intracranial pressure signals, in particular to a single-wave characteristic point extraction method of intracranial pressure signals based on a special correction algorithm. Background technique [0002] Intracranial hypertension is a common cause of death in patients with intracranial diseases. Timely and accurate grasp of the level and quantitative diagnosis of intracranial pressure in patients is a crucial step in clinical treatment. 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 ca...

AI Technical Summary

Problems solved by technology

At the same time, due to the influence of venous pressure, holding your breath and exerting force will also cause a corresponding significant drift in the baseline of the intracranial pressure signal, especially coughing, sneezing and other actions will cause the corresponding severe jitter of the intracranial pressure signal

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