A low power high CMRR CMOS instrumentation amplifier for Bio-impedance Spectroscopy

Silverio, Angelito A.; Chung, Wen-Yaw; Tsai, Vincent F.S.

doi:10.1109/isbb.2014.6820903

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…Another challenge is the design of a voltage measurement stage, sufficiently precise and robust against noise. It is common to use an instrumentation amplifier with a high input impedance, high common-mode rejection ratio (CMRR), typically greater than 80 dB, and sufficient bandwidth to support the measurement frequencies without distortion [136][137][138]. However, the sensitivity requirements in the EIT applications are even stricter and any improvements provided in the accuracy of the measurements will result in a decrease in errors and an increase in the accuracy of the images.…”

Section: Sources Of Artifacts and Noise In Bioimpedance Measurementsmentioning

confidence: 99%

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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This work develops a thorough review of bioimpedance systems for healthcare applications. The basis and fundamentals of bioimpedance measurements are described covering issues ranging from the hardware diagrams to the configurations and designs of the electrodes and from the mathematical models that describe the frequency behavior of the bioimpedance to the sources of noise and artifacts. Bioimpedance applications such as body composition assessment, impedance cardiography (ICG), transthoracic impedance pneumography, electrical impedance tomography (EIT), and skin conductance are described and analyzed. A breakdown of recent advances and future challenges of bioimpedance is also performed, addressing topics such as transducers for biosensors and Lab-on-Chip technology, measurements in implantable systems, characterization of new parameters and substances, and novel bioimpedance applications.

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Section: Sources Of Artifacts and Noise In Bioimpedance Measurementsmentioning

confidence: 99%

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

2019

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“…Another relevant component is the instrumentation amplifier, which exhibits a high input impedance, a CMRR above 80 dB, and a bandwidth large enough to provide accuracy and robustness against noise in the full measurement band [44][45][46].…”

Section: Addressing Parasitic Effectsmentioning

confidence: 99%

Smart Bioimpedance Spectroscopy Device for Body Composition Estimation

Naranjo-Hernández

Reina‐Tosina

Roa

et al. 2019

Sensors

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The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance measurements in multiple configurable frequencies, processing the data to obtain the modulus and the bioimpedance phase in each of the frequencies, and transmitting the processed information wirelessly. Another novelty of this work is a new algorithm for the identification of Cole model parameters, which is the basis of body composition estimation through bioimpedance spectroscopy analysis. Against other proposals, the main advantages of the proposed method are its robustness against parasitic effects by employing an extended version of Cole model with phase delay and three dispersions, its simplicity and low computational load. The results obtained in a validation study with respiratory patients show the accuracy and feasibility of the proposed technology for bioimpedance measurements. The precision and validity of the algorithm was also proven in a validation study with peritoneal dialysis patients. The proposed method was the most accurate compared with other existing algorithms. Moreover, in those cases affected by parasitic effects the proposed algorithm provided better approximations to the bioimpedance values than a reference device.Sensors 2020, 20, 70 2 of 27 during pregnancy and lactation [6], in the evaluation of the risk of various pathologies [7,8], as a marker or direct cause of disease [9,10], during the process of decision making in an illness [11], aging [12] or rehabilitation processes [13], as a complement to the diagnosis and follow-up of conditions related to the cardiovascular system [14,15], in oncology [16] and even in sports science [17], among others.Despite the advances in the clinical application of bioimpedance, there are still some challenges to be solved, such as the integration of devices into e-Health systems supporting remote user monitoring [18]. In addition, the complexity of bioimpedance systems is usually quite high (current injection, voltage measurement, demodulation, processing, etc.) and the use of high-frequency signals (tens to hundreds of kHz) generally requires high power consumption, so new challenges arise for the optimization of hardware in size, energy efficiency, robustness and precision [1,19]. On the other hand, although the bioimpedance spectroscopy technique has proven to be more precise and robust than the single frequency technique, most devices base their operation on the measurement on a single frequency [1,20].Other issues are related to the models and algorithms used to estimate the BC from bioimpedance measures. A key point for an adequate BC estimation by bioimpedance analysis is a correct parameter identification of the bioimpedance model, usually the Cole model [1,[21][22][23][24][25][26][27][28][29][30][31]. Sometimes, this parameterization is performed without directly measuring the impedance values [21][22][23]. Other authors use...

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“…First stage is as same as that of the conventional one. It has the same output voltages (V out1p,2p ) as (5) and (6), respectively. Second stage consists of Differential Difference Amplifier (DDA) and two resistors which are independent each other.…”

Section: Proposed Instrumentation Amplifier Architecturementioning

confidence: 99%

“…Using (12) and referring Eqs. (5) and (6), the output of the second stage (V outp ) under the resistor mismatch condition can be derived as follows.…”

Section: Proposed Instrumentation Amplifier Architecturementioning

confidence: 99%

A New Instrumentation Amplifier Architecture Based on Differential Difference Amplifier for Biological Signal Processing

Abidin

Tanno

Mago

et al. 2017

IJECE

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<p>In this paper, a new Instrumentation Amplifier (IA) architecture for biological signal pro-cessing is proposed. First stage of the proposed IA architecture consists of fully balance differential difference amplifier and three resistors. Its second stage was designed by using differential difference amplifier and two resistors. The second stage has smaller number of resistors than that of conventional one. The IA architectures are simulated and compared by using 1P 2M 0:6-m CMOS process. From HSPICE simulation result, lower common-mode voltage can be achieved by the proposed IA architecture. Average common-mode gain (Ac) of the proposed IA architecture is 31:26 dB lower than that of conventional one under 3% resistor mismatches condition. Therefore, the Ac of the proposed IA architecture is more insensitive to resistor mismatches and suitable for biological signal processing.</p>

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A low power high CMRR CMOS instrumentation amplifier for Bio-impedance Spectroscopy

Cited by 7 publications

References 8 publications

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

Fundamentals, Recent Advances, and Future Challenges in Bioimpedance Devices for Healthcare Applications

Smart Bioimpedance Spectroscopy Device for Body Composition Estimation

A New Instrumentation Amplifier Architecture Based on Differential Difference Amplifier for Biological Signal Processing

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