Beat-to-beat division method of intracranial pressure signal based on waveform character matching

Abstract

The invention provides a beat-to-beat division method of an intracranial pressure signal based on waveform character matching. The method is used for recognizing the beat starting point of the intracranial pressure signal by using waveform character matching, a difference vector between two points is used as a basic character, and the basic character has translational invariance and rotational invariance and can overcome the influence of baseline drift of the intracranial pressure signal. The difference vector is subjected to log-polar transformation and is zoned to measure the similarity of a waveform, and the measurement is sensitive to the morphological characters of adjacent waveforms, can capture the overall contour information of the waveform, and has robustness over waveform swing.The point-to-point similarity measurement is transformed into a measurement method of the waveform where the point locates, and thus, the beat starting point of the intracranial pressure signal is accurately recognized and detected. When applied to relevant intracranial pressure analysis equipment, the method can realize the accurate beat-to-beat division of the intracranial pressure signal and is helpful to the increase of the detection and analysis ability of the intracranial pressure analysis equipment.

Description

technical field [0001] The invention relates to the technical field of automatic detection and analysis of intracranial pressure, in particular to a beat-by-beat segmentation method of intracranial pressure signal for feature extraction and matching of intracranial pressure waveform signal. 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 dysfunct...

AI Technical Summary

Problems solved by technology

Due to these complex factors, it is difficult to identify the beat of the intracranial pressure signal by computer, so there has not been a good computer-implemented beat-by-beat segmentation method of intracranial pressure signal, most of the clinical intracranial pressure detection equipment choose Calculate the average value of intracranial pressure as a clinical index; however, the beat-by-beat segmentation of intracranial pressure signals can only be manually segmented after manual visual inspection. In the case of a huge amount of intracranial pressure signal data, this manual segmentation method is not only time-consuming, but also Moreover, due to differences in the views of different clinicians, the segmentation standards are uneven, resulting in low segmentation efficiency and difficult to guarantee accuracy.

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