IIUM Repository

Efficient capacitance sensing for wireless health monitoring system.

Che Mustapha, Nurul Arfah and Alam, A. H. M. Zahirul and Khan, Sheroz and Azman, Amelia Wong (2016) Efficient capacitance sensing for wireless health monitoring system. IIUM Engineering Journal, 17 (2). pp. 21-29. ISSN 1511-788X E-ISSN 2289-7860

[img] PDF - Published Version
Restricted to Repository staff only

Download (445kB) | Request a copy
Download (142kB) | Preview


This paper presents a low power capacitance to voltage converter (CVC) circuit using two differential amplifier circuits, two Schottky rectifier diodes constructed in symmetrical manner and combined with instrumentation amplifier circuits. The differential capacitance to voltage simulation work has been realized with cheap discrete components. Combination energy from solar, vibration and heat is expected to be used to source the capacitance circuit. Constant dc voltage of 3 V has been used to source the CVC circuit in this work. It is found by the simulation, the converter circuit consumes 3.9 mW of total power, operates at 40 kHz using 400 mV excitation signal. The circuit is able to detect changes of capacitance from 4 – 12.5 pF using reference capacitance of 5 pF. Sensitivity of 0.132 mV for 1 fF capacitance change has been observed in the circuit. This circuit is suitable for wireless health monitoring system.

Item Type: Article (Journal)
Additional Information: 4575/53419
Uncontrolled Keywords: energy harvester; differential capacitance sensing; capacitance measurement system, health monitoring system
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr AHM Zahirul Alam
Date Deposited: 14 Dec 2016 10:18
Last Modified: 11 Jul 2018 16:54
URI: http://irep.iium.edu.my/id/eprint/53419

Actions (login required)

View Item View Item


Downloads per month over past year