Method for recognizing intracranial pressure signal characteristic peaks
A technology of signal characteristics and intracranial pressure, applied in the field of characteristic peak identification of intracranial pressure signals based on waveform feature extraction and template matching, can solve problems such as low efficiency, heavy manual identification workload, and difficulty in ensuring accuracy
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[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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