A miniature pressure system with a capacitive sensor and a passive telemetry link for use in implantable applications

Chatzandroulis, S.; Tsoukalas, D.; Neukomm, P.A.

doi:10.1109/84.825772

Cited by 93 publications

(48 citation statements)

References 8 publications

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“…The Window type, Stopband ripple, Beta, and Window sampling parameters all apply to the specification of the window function. Outputs from the periodogram block are subject to the 'generatedB' matlab function to convert the input to a dB representation using standard methods i.e dB = 20*logIO(u./ui); (2) where u0/ui = the ratio of output to input Power…”

Section: Modeling Channel Propagation Effectsmentioning

confidence: 99%

Verification of Wireless Data Acquisition Radio Frequency System for Medical Telemetry Application

Arshak

Adepoju

2007

2007 30th International Spring Seminar on Electronics Technology (ISSE)

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Abstract. This paper presents an overview of simulated and custom models for a wireless data acquisition system. The output signalfrom the transmitter was encoded to digital signal based on one ofthe Pulse Coding Modulation (PCM) algorithms. At the receiver end, the signal is demodulated and processed to extract the spectrum of the original analogue signal which is subsequently converted to voltage primarily for position tracking purposes. We used a path loss scenario based on the lognormal model to investigate the relationship between signal power transmitted, distance between transmitter and receiver, and the bit error rate generated in the channel. The performance ofthe radio frequency (RF) unit through additive White Gaussian Noise (A WGN) channel was examined by estimating the average Bit Error Rate (BER). The effect ofthe multipath fading was also considered in the receiver model. The receiver was modeled to receive from an omnidirectional transmitter which is transmitting RF signals at 433MHz, Input power 1 W, and Es/No = 20dB (corresponding to the linear region ofthe target transceiver)

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Section: Modeling Channel Propagation Effectsmentioning

confidence: 99%

Verification of Wireless Data Acquisition Radio Frequency System for Medical Telemetry Application

Arshak

Adepoju

2007

2007 30th International Spring Seminar on Electronics Technology (ISSE)

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“…Various methods have been reported (Lotters et al, 1999;Alia, 2007;Zahirul Alam et al, 2009;GhafarZadeh et al, 2009;Arfah et al, 2010;Chatzandroulis et al, 2000) to deal with capacitance to voltage conversion. Some of them, for instance the method utilizing ratioarm bridge is symmetrical and sensitive, but it has the disadvantage that transformer coils have to be used which is difficult to implement monolithically.…”

Section: Introductionmentioning

confidence: 99%

Design of Capacitance to Voltage Converter for Capacitive Sensor Transducer

Helén¹

2010

American Journal of Applied Sciences

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Problem statement:The design of Capacitance to Voltage Converter (CVC) for capacitive sensor transducer was presented. The proposed design will reduce the size, power consumption and supply voltage of the circuit and can be used in high frequency band transducer. Approach: The design was implemented using the Operational amplifier (Op amp) and capacitive network. The circuit was simulated using the PSPICE model parameters based on standard 0.13 µm CMOS process. Results: The design was able to measure a wide range of capacitance variations for the capacitive transducer. The performance analysis of the design showed desirable performance parameters in terms of response, low power consumption and a linear output voltage within the wide range of capacitive transducer capacitance variation for the power supply voltage of 1.2 V was achieved. Conclusion/Recommendations: The output voltage of the circuit varied linearly with the variation of capacitive transducer capacitance variation. The improved converter was compact and robust for integration into capacitive measuring systems and suitable for use in environment that making use of higher frequency band.

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“…MEMS capacitive sensors using wireless data transmission have been evaluated in many applications such as humidity (DeHennis & Wise, 2005;Harpster et al, 2002;), temperature (DeHennis & Wise, 2005) and pressure sensing devices (Akar et al, 2001;Chatzandroulis et al, 2000;DeHennis & Wise, 2002, 2005Strong et al, 2002). The telemetry approach to monitor strain uses inductively coupled battery-less technology similar to the technology used in Radio Frequency IDentification (RFID) devices (Finkenzeller, 1999).…”

mentioning

confidence: 99%

“…The inductively coupled wireless system with sensing capability needs not only the working passive telemetry circuitry, but also both the sensor interface circuitry and the sensor themselves. A fully integrated implanted sensor system was realized (Chatzandroulis et al, 2000) with a capacitive pressure sensor and an application-specific integrated circuit ( A S I C ) c h i p t h a t c o n t r o l s R F m o d u l a t i o n and converts capacitance variations into frequency variations. Suster et al developed a wireless strain detection with the transducer coil size of 3-inch coaxial to the interrogating reader (Suster et al, 2005).…”

mentioning

confidence: 99%

Inductively Coupled Telemetry in Spinal Fusion Application Using Capacitive Strain Sensors

Lin¹,

Jackson²,

Aebersold³

et al. 2011

Modern Telemetry

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A miniature pressure system with a capacitive sensor and a passive telemetry link for use in implantable applications

Cited by 93 publications

References 8 publications

Verification of Wireless Data Acquisition Radio Frequency System for Medical Telemetry Application

Verification of Wireless Data Acquisition Radio Frequency System for Medical Telemetry Application

Design of Capacitance to Voltage Converter for Capacitive Sensor Transducer

Inductively Coupled Telemetry in Spinal Fusion Application Using Capacitive Strain Sensors

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