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Special Issue Editor

Prof. Dr. Sangjin Byun

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Guest Editor

Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Korea
Interests: analog circuit design; temperature sensor; RF energy harvester; received signal strength indicator; power management; serial interface
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Smart sensors function as intelligent detectors of temperature, humidity, light, image, pressure, speed, acceleration, displacement, rotation, gas, ultrasound, flow, magnetic force, current, voltage, and so on. They are increasingly used in industries with various applications which require intelligent operations, such as medical, health care, automobile, manufacture, agriculture, military, environment, and security. Smart sensors not only consist of a sensing element, but also a digital converter, such as an analog-to-digital converter, a time-to-digital converter, and a frequency-to-digital converter; a digital signal processing block for canceling noise, compensating mismatch, offset, and bias, and calibrating nonlinear distortion; an energy harvester block for generating the power from heat, light, vibration, thermal difference, and electromagnetic waves; and a power management block for providing and distributing the appropriate power to the overall system. Thus, in addition to the materials and devices generally focused on sensing elements, integrated circuits and systems play a key role in developing and delivering smart sensors.

Topics of this Special Issue include, but are not limited to, the following:

Voltage and current domain readout circuits;
Time and frequency domain readout circuits;
Digital signal processing for sensors;
Data storage systems;
Wireless and wireline data transceivers;
Energy harverster circuits;
Power management circuits.

Prof. Dr. Sangjin Byun
Guest Editor

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Keywords

integrated circuits
readout circuit
analog–digital converter
time–digital converter
frequency–digital converter
serial interface
wireline transceiver
wireless transceiver
energy harvester
power management

Published Papers (2 papers)

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Research

Jump to: Review

17 pages, 12013 KiB

Open AccessArticle

A Low-Computing-Complexity Touch Signal Detection Method and Analog Front-End Circuits Based on Cross-Correlation Technology for Large-Size Touch Panel

by Xiaoyu Guo, Hongge Li, Yuhao Chen and Wei Sun

Sensors 2022, 22(12), 4354; https://doi.org/10.3390/s22124354 - 08 Jun 2022

Cited by 1 | Viewed by 2240

Abstract

This paper proposes a low-computing-complexity touch signal detection method and analog front-end (AFE) circuits based on cross-correlation technology for large mutual capacitance touch screen panels (TSPs). To solve the traditional touch signal detection method problem of lots of invalid data being sampled and processed in a large-size TSP, the proposed method only samples and processes the signals around the touch points rather than full-screen data to decrease the computing complexity and analog–digital convertor (ADC) acquisition number. Compared with the traditional method, the proposed touch points search algorithm complexity decreases from MN to M + nN where M, N, and n are the number of RX channels, TX channels, and touch points, respectively. The maximum ADC acquisition number of the proposed method decreases from MN to 18n. Based on the proposed touch signal detection method, the AFE circuits are designed by a 0.11 μm process. The proposed dual cross-correlation AFE achieves detection of the weak touch signal submerged in the large display panel noise. The average channel area and power consumption are decreased to 0.015 mm² and 0.227 mW, respectively. The maximum frame rate is 384.6 Hz with 10 touch points. The proposed cross-correlation AFE achieves a high frame rate while reducing the die area and power consumption. Full article

(This article belongs to the Special Issue Integrated Circuits and Systems for Smart Sensors)

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Review

Jump to: Research

27 pages, 6729 KiB

Open AccessReview

A Survey on Current-Mode Interfaces for Bio Signals and Sensors

by Massimo Scarsella, Gianluca Barile, Vincenzo Stornelli, Leila Safari and Giuseppe Ferri

Sensors 2023, 23(6), 3194; https://doi.org/10.3390/s23063194 - 16 Mar 2023

Cited by 4 | Viewed by 1557

Abstract

In this study, a review of second-generation voltage conveyor (VCII) and current conveyor (CCII) circuits for the conditioning of bio signals and sensors is presented. The CCII is the most known current-mode active block, able to overcome some of the limitations of the classical operational amplifier, which provides an output current instead of a voltage. The VCII is nothing more than the dual of the CCII, and for this reason it enjoys almost all the properties of the CCII but also provides an easy-to-read voltage as an output signal. A broad set of solutions for relevant sensors and biosensors employed in biomedical applications is considered. This ranges from the widespread resistive and capacitive electrochemical biosensors now used in glucose and cholesterol meters and in oximetry to more specific sensors such as ISFETs, SiPMs, and ultrasonic sensors, which are finding increasing applications. This paper also discusses the main benefits of this current-mode approach over the classical voltage-mode approach in the realization of readout circuits that can be used as electronic interfaces for different types of biosensors, including higher circuit simplicity, better low-noise and/or high-speed performance, and lower signal distortion and power consumption. Full article

(This article belongs to the Special Issue Integrated Circuits and Systems for Smart Sensors)

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