JOURNAL ARTICLE

Intracranial Monitoring Pressure Sensor using MEMS

Akshata Patil

Year: 2018 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 6 (5)Pages: 1158-1161   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

A completely integrated numerous devices for the measurement of Intracranial Pressure (ICP) have been defined, Intracranial Pressure (ICP ) sensor is associated with the brain of the body for monitoring the ICP. It includes both wired and wireless systems. It is having a major role in different diagnostic procedure patients with head injuries and trauma. Conventionally, invasive methods are used for ICP controlling which involve surgical procedures. This method is low infection, biocompatibility, small size, accurate and easy to use. With this knowledge of requirements in mind we define an implantable ICP sensor based on Micro Electro Mechanical Systems (MEMS) from the comsol multi physics tool CMUT (Capacitive Micro machined Ultrasonic Transducer) is chosen as the biocompatible and flexible architecture. Sterilization and dynamic element matching tactics are applied in sensor interface circuits to reduce circuit noise and offset .On-chip sequencing is implemented for each sensor to satisfy the process variation. This paper describes various work which are done with respect to proposed characteristics of CMUT that make it well suited for biomedical applications and comparisons are made with other polymers in terms of biocompatibility and certification.

Keywords:
Intracranial pressure monitoring Pressure sensor Microelectromechanical systems Computer science Intracranial pressure Medicine Materials science Optoelectronics Engineering Radiology Mechanical engineering

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Topics

Optical Imaging and Spectroscopy Techniques
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Brain Tumor Detection and Classification
Life Sciences →  Neuroscience →  Neurology
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