On the feasibility of a liquid crystal polymer pressure sensor for intracranial pressure measurement
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Preedipat Sattayasoonthorn
und
Sorayouth Chamnanvej
Abstract
Intracranial pressure (ICP) monitoring is crucial in determining the appropriate treatment in traumatic brain injury. Minimally invasive approaches to monitor ICP are subject to ongoing research because they are expected to reduce infections and complications associated with conventional devices. This study aims to develop a wireless ICP monitoring device that is biocompatible, miniature and implantable. Liquid crystal polymer (LCP) was selected to be the main material for the device fabrication. This study considers the design, fabrication and testing of the sensing unit of the proposed wireless ICP monitoring device. A piezoresistive pressure sensor was designed to respond to 0–50 mm Hg applied pressure and fabricated on LCP by standard microelectromechanical systems (MEMS) procedures. The fabricated LCP pressure sensor was studied in a moist environment by means of a hydrostatic pressure test. The results showed a relative change in voltage and pressure from which the sensor’s sensitivity was deduced. This was a proof-of-concept study and based on the results of this study, a number of recommendations for improving the considered sensor performance were made. The limitations are discussed, and future design modifications are proposed that should lead to a complete LCP package with an improved performance for wireless, minimally invasive ICP monitoring.
Author Statement
Research funding: FY2016 Thesis Grant for Doctoral Degree Student under National Research Council of Thailand (NRCT) through Mahidol University.
Conflict of interest: Authors state no conflict of interest.
Informed consent: Informed consent is not applicable.
Ethical approval: The conducted research is not related to either human or animals use.
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Artikel in diesem Heft
- Frontmatter
- Reviews
- Invasive and non-invasive point-of-care testing and point-of-care monitoring of the hemoglobin concentration in human blood – how accurate are the data?
- A review on the pattern detection methods for epilepsy seizure detection from EEG signals
- Research articles
- Robust and energy-efficient expression recognition based on improved deep ResNets
- Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification
- On the feasibility of a liquid crystal polymer pressure sensor for intracranial pressure measurement
- Investigation of the retention forces of secondary telescopic crowns made from Pekkton® ivory in combination with primary crowns made from four different dental alloys: an in vitro study
- A comparative study of tapped and untapped pilot holes for bicortical orthopedic screws – 3D finite element analysis with an experimental test
- Developing viscoelastic contact models and selecting suitable creep function for spherical biological cells
- Obtaining the sGAG distribution profile in articular cartilage color images
- Optimization of the proposed hybrid denoising technique to overcome over-filtering issue
