Literature DB >> 26372646

A Batteryless Sensor ASIC for Implantable Bio-Impedance Applications.

Saul Rodriguez, Stig Ollmar, Muhammad Waqar, Ana Rusu.   

Abstract

The measurement of the biological tissue's electrical impedance is an active research field that has attracted a lot of attention during the last decades. Bio-impedances are closely related to a large variety of physiological conditions; therefore, they are useful for diagnosis and monitoring in many medical applications. Measuring living tissues, however, is a challenging task that poses countless technical and practical problems, in particular if the tissues need to be measured under the skin. This paper presents a bio-impedance sensor ASIC targeting a battery-free, miniature size, implantable device, which performs accurate 4-point complex impedance extraction in the frequency range from 2 kHz to 2 MHz. The ASIC is fabricated in 150 nm CMOS, has a size of 1.22 mm × 1.22 mm and consumes 165 μA from a 1.8 V power supply. The ASIC is embedded in a prototype which communicates with, and is powered by an external reader device through inductive coupling. The prototype is validated by measuring the impedances of different combinations of discrete components, measuring the electrochemical impedance of physiological solution, and performing ex vivo measurements on animal organs. The proposed ASIC is able to extract complex impedances with around 1 Ω resolution; therefore enabling accurate wireless tissue measurements.

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Year:  2015        PMID: 26372646     DOI: 10.1109/TBCAS.2015.2456242

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  5 in total

Review 1.  Electrical Impedance Myography and Its Applications in Neuromuscular Disorders.

Authors:  Benjamin Sanchez; Seward B Rutkove
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

2.  Towards non-invasive characterisation of coronary stent re-endothelialisation - An in-vitro, electrical impedance study.

Authors:  Ian Holland; Christopher McCormick; Patricia Connolly
Journal:  PLoS One       Date:  2018-11-05       Impact factor: 3.240

3.  Interrogation Techniques and Interface Circuits for Coil-Coupled Passive Sensors.

Authors:  Marco Demori; Marco Baù; Marco Ferrari; Vittorio Ferrari
Journal:  Micromachines (Basel)       Date:  2018-09-09       Impact factor: 2.891

4.  A CMOS Low Pass Filter for SoC Lock-in-Based Measurement Devices.

Authors:  Jorge Pérez-Bailón; Belén Calvo; Nicolás Medrano
Journal:  Sensors (Basel)       Date:  2019-11-26       Impact factor: 3.576

5.  Patient Specific Numerical Modeling for Renal Blood Monitoring Using Electrical Bio-Impedance.

Authors:  Mugeb Al-Harosh; Egor Chernikov; Sergey Shchukin
Journal:  Sensors (Basel)       Date:  2022-01-13       Impact factor: 3.576

  5 in total

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