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Title: Constant pressure PID control of non invasive intracranial pressure monitor based on wavelet neural network

Authors: Gaigai Zhang¹, Qingyun Yang²

Addresses: ¹Department of Intelligent Medical Engineering, North Henan Medical University, Henan 453003, China,
²Department of Rehabilitation Medicine, North Henan Medical University, Henan 453003, China

Abstract: To enhance the accuracy of constant pressure control in non-invasive intracranial pressure monitors, a study on constant pressure PID control of non-invasive intracranial pressure monitors based on wavelet neural networks is proposed. Collect intracranial pressure signals from non-invasive intracranial pressure monitors through sensors and pre-process them using wavelet filtering; construct a wavelet neural network to learn the intrinsic patterns and features in signal data, and estimate the true intracranial pressure values; based on the estimation results from the wavelet neural network, the parameters of the PID controller are dynamically adjusted and input as feedback signals. Adjust the non-invasive intracranial pressure monitor according to the magnitude and trend of the deviation value. The results show that the proposed method can achieve a steady-state error of less than 0.1 mmHg, with a maximum overshoot of 6.2% and a maximum sensitivity of only 0.20, demonstrating high control accuracy and stability.

Keywords: non-invasive intracranial pressure monitor; ICP; wavelet neural network; PID controller; constant pressure control.

DOI: 10.1504/IJMIC.2025.10073014

Received: 13 Feb 2025
Accepted: 11 Jun 2025
Published online: 23 Dec 2025 *