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Design and Simulation of Capacitive Pressure Sensor for Blood Pressure Sensing Application

  • Rishabh Bhooshan Mishra
  • S. Santosh Kumar
  • Ravindra Mukhiya
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 524)

Abstract

This paper presents the mathematical modeling-based design and simulation of normal mode MEMS capacitive pressure sensor for blood pressure sensing application. The normal blood pressure of human being is 120/80 mmHg. But this range varies in case of any stress, hypertension and some other health issues. Analytical simulation is implemented using MATLAB®. Basically, normal mode capacitive pressure sensors have a fixed plate and a moveable diaphragm which deflects on application of pressure with the condition that it must not touch the fixed plate. Deflection depends on material as well as thickness, shape and size of diaphragm which can be of circular, elliptical, square or rectangular shape. In this paper, circular shape is chosen due to higher sensitivity compared to other diaphragm shapes. Deflection, base capacitance, change in capacitance after applying pressure and sensitivity are reported for systolic and diastolic blood pressure monitoring application, and study involves determining the optimized design for the sensor. Diaphragm deflection shows linear variation with applied pressure, which follows Hook’s law. The variation in capacitance is logarithmic function of applied pressure, which is utilized for analytical simulation.

Keywords

Mathematical modeling Capacitive pressure sensor Blood pressure measurement 

Notes

Acknowledgements

Authors would like to acknowledge the generous support of Director, CSIR—Central Electronics Engineering Research Institute (CEERI), Pilani. And they would like to thank all the scientific and technical staff of Process Technologies Group-SSA for their support and co-operation.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Rishabh Bhooshan Mishra
    • 1
  • S. Santosh Kumar
    • 1
  • Ravindra Mukhiya
    • 1
  1. 1.Smart Sensors AreaCSIR - Central Electronics Engineering Research InstitutePilaniIndia

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