A Review on VCII Applications in Signal Conditioning for Sensors and Bioelectrical Signals: New Opportunities

Author:

Safari Leila,Barile GianlucaORCID,Stornelli VincenzoORCID,Ferri GiuseppeORCID

Abstract

This study reviews second-generation voltage conveyor (VCII)-based read-out circuits for sensors and bioelectrical signal conditioning from existing literature. VCII is the dual circuit of a second-generation current conveyor (CCII), which provides the possibility of processing signals in the current domain while providing output signals in the voltage form. The scope of this paper is to discuss the benefits and opportunities of new VCII-based read-out circuits over traditional ones and bioelectrical signals. The achieved main benefits compared to conventional circuits are the simpler read-out circuits, producing an output signal in a voltage form that can be directly used, improved accuracy, possibility of gain adjustment using a single grounded resistor, and the possibility of connecting several SiPM sensors to the readout circuit. The circuits studied in this paper include VCII- based read-out circuits suitable for all types of sensors configured in the current-mode Wheatstone bridge (CMWB) topology, the VCII-based read-out circuits solutions reported for silicon photomultiplier, spiral-shaped ultrasonic PVDF and differential capacitive sensors, and, finally, a simple readout circuitry for sensing bioelectrical signals. There are still not many VCII-based readout circuits, and we hope that the outcome of this study will enhance this area of research and inspire new ideas.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Novel Lossless Positive-/Negative-Grounded Capacitance Multipliers Using VCII;Elektronika ir Elektrotechnika;2023-09-07

2. A Survey on Current-Mode Interfaces for Bio Signals and Sensors;Sensors;2023-03-16

3. Flexible Neural Probe Modelling for Optimal Microelectrode-Tissue Interaction;2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS);2022-10-24

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