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Goes, Frank M. L. van der; Meijer, G.C.M.

doi:10.1023/a:1008246103915

Cited by 53 publications

(4 citation statements)

References 10 publications

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“…The output signal is shown in figure 2(b). According to the use of the three-signal auto-calibration technique [8], one measurement cycle consists of three phases in which a first reference capacitor C ref1 , a second reference capacitor C ref2 and the sensor capacitor C x are measured, respectively. Their values are linearly converted to the time domain and result in corresponding time periods T ref1 , T ref2 and T x of the output signal.…”

Section: System Setup and Front-end Circuitmentioning

confidence: 99%

“…Their values are linearly converted to the time domain and result in corresponding time periods T ref1 , T ref2 and T x of the output signal. For identification purposes, the time interval T ref1 is split into two short periods [8]. For the three time intervals it holds that…”

Section: System Setup and Front-end Circuitmentioning

confidence: 99%

“…An integrated version of the improved interface for grounded capacitive sensor with feedforward-based active shielding will be presented. In order to reduce the effect of any low-frequency disturbing signals, including flicker noise, interference from the mains, and offset, the interface is equipped with a special kind of chopper, according to the (+ − − +) principle described in [7,8]. Moreover, to remove any additive and multiplicative errors, which are mainly caused by uncertainty in design parameters and thermal drift, a three-signal auto-calibration technique [7] has been used.…”

Section: Introductionmentioning

confidence: 99%

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An integrated interface circuit with a capacitance-to-voltage converter as front-end for grounded capacitive sensors

Heidary¹,

Meijer²

2008

Meas. Sci. Technol.

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This paper presents the analysis and design of an integrated interface for grounded capacitive sensors. To reduce the effects of parasitic cable capacitances, a feedforward technique has been applied. In combination with the use of a special front-end amplifier this yields high immunity for a parasitic cable capacitance. The major nonidealities of the interface circuit have been analyzed. The complete interface has been designed and implemented as an integrated circuit, using standard 0.7 μm CMOS technology. Experimental results, which are in good agreement with theoretical analysis and simulation, show that for sensor capacitance down to 10 pF, shielded connection cables up to 30 m can be handled with an absolute error of less than 0.3 pF. The measured nonlinearity of the interface amounts to about 3 × 10 −4 for 30 m of the cable. For 40 ms measurement time, the resolution amounts to about 16 bits.

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Section: System Setup and Front-end Circuitmentioning

confidence: 99%

Section: System Setup and Front-end Circuitmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An integrated interface circuit with a capacitance-to-voltage converter as front-end for grounded capacitive sensors

Heidary¹,

Meijer²

2008

Meas. Sci. Technol.

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“…The use of ac signals is important to reduce the electro-chemical effects and the effects of dc drift and parasitic Seebeck voltages. Meanwhile, the ac square-wave excitation signal is also used to implement the chopping technique [9,10], synchronized with voltageto-time conversion. The chopping technique is implemented in the following way: when V ex makes an up-going step, a positive charge V s C s is converted into a time interval and when V ex makes a down-going step, a negative charge −V s C s is converted into a time interval.…”

Section: A Circuit Diagram Of the Interfacementioning

confidence: 99%

A high-performance interface for grounded conductivity sensors

Li¹,

Meijer²

2008

Meas. Sci. Technol.

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This paper presents a high-performance interface for grounded conductivity sensors. The interface mainly consists of a sensor driver, an analog front-end, a multiplexer and a voltage-to-time converter. The sensor driver and analog front-end provide a controlled excitation voltage for the sensor and convert the sensor signal (conductance) into a voltage signal. The voltage-to-time converter acts as an asynchronous converter that employs a relaxation oscillator to convert the sensor signals (voltages) into a period-modulated output voltage. The analysis and experiments are performed to optimize the interface circuit with respect to the range of measurable conductance. With a prototype, over a wide conductance range, from 0.01 μS to 1 mS, the experimental results show random errors with a standard deviation of less than 5.6 nS for a measurement time of 160 ms, and a systematic error of less than 22 nS.

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Capacitive Microsensors for Biomedical Applications

Tsoukalas¹,

Chatzandroulis²,

Goustouridis³

2006

Encyclopedia of Medical Devices and Instrumentation

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The use of reliable, high performance miniature sensors in the medical field is of growing importance for patient health monitoring. Batch sensor fabrication, as this has been introduced by Integrated Circuit (IC) manufacturing, is an efficient way to produce silicon sensors with desirable characteristics. Since microsensors combine small size with electrical and mechanical principles of operation they constitute together with microactuators what is usually called Microelectromechanical Systems (MEMS). These components are mainly made from silicon and other related materials to explore existing know‐how and infrastructure of silicon technology. All of the above factors have allowed for fast growth of the microsensor field during the last years. This article focuses on physical microsensors used in the medical field that are based on the capacitive approach.

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Untitled

Cited by 53 publications

References 10 publications

An integrated interface circuit with a capacitance-to-voltage converter as front-end for grounded capacitive sensors

An integrated interface circuit with a capacitance-to-voltage converter as front-end for grounded capacitive sensors

A high-performance interface for grounded conductivity sensors

Capacitive Microsensors for Biomedical Applications

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