Literature DB >> 31331896

A 13-Channel 1.53-mW 11.28-mm2 Electrical Impedance Tomography SoC Based on Frequency Division Multiplexing for Lung Physiological Imaging.

Boxiao Liu, Guoxing Wang, Yongfu Li, Lei Zeng, Hui Li, Yue Gao, Yixin Ma, Yong Lian, Chun-Huat Heng.   

Abstract

An electrical impedance tomography (EIT) system based on frequency division multiplexing (FDM) is proposed for real-time lung physiological imaging. The FDM technique allows the integration of 13 dedicated voltage sensing channels by combining data on-chip and sharing of ADC to alleviate area penalty caused by multi-channel. The EIT system-on-chip (SoC) is of the following features. 1) Early I/Q demodulation to relax the bandwidth requirement of analog front end and minimize the impact of motion artifacts and dc electrode offset. 2) Eliminates the need of adaptive gain control with constant inverted "U-shape" gain configuration to compensate amplitude variations across all channels. 3) FDM to combine 13 pairs of I/Q signals into two data streams for quantization using only two ΔΣ modulators. 4) Batch data recovery by Blackman window corrected fast Fourier transform without any digital filtering involved. 5) Lowest power consumption and smallest area occupation per channel reported to date. The EIT SoC occupies an area of 11.28 mm2 in 130-nm CMOS technology with a total power consumption of 1.53 mW under 1-V power supply. As a result, it generates lung EIT images at up to five frames per second.

Entities:  

Mesh:

Year:  2019        PMID: 31331896     DOI: 10.1109/TBCAS.2019.2927132

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


  3 in total

1.  Multi-Channel Biopotential Acquisition System Using Frequency-Division Multiplexing With Cable Motion Artifact Suppression.

Authors:  Jinyong Kim; Hyunkyu Ouh; Matthew L Johnston
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2022-02-17       Impact factor: 3.833

2.  FPGA-Based Processor for Continual Capacitive-Coupling Impedance Spectroscopy and Circuit Parameter Estimation.

Authors:  Akihiko Tsukahara; Tomiharu Yamaguchi; Yuho Tanaka; Akinori Ueno
Journal:  Sensors (Basel)       Date:  2022-06-10       Impact factor: 3.847

3.  An Impedance Readout IC with Ratio-Based Measurement Techniques for Electrical Impedance Spectroscopy.

Authors:  Song-I Cheon; Soon-Jae Kweon; Youngin Kim; Jimin Koo; Sohmyung Ha; Minkyu Je
Journal:  Sensors (Basel)       Date:  2022-02-17       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.