Literature DB >> 33322141

Common-Mode Noise Reduction in Noncontact Biopotential Acquisition Circuit Based on Imbalance Cancellation of Electrode-Body Impedance.

Minghui Chen1, Jianqing Wang1, Daisuke Anzai1, Georg Fischer2, Jens Kirchner2.   

Abstract

Biopotential sensing technology with electrodes has a great future in medical treatment and human-machine interface, whereas comfort and longevity are two significant problems during usage. Noncontact electrode is a promising alternative to achieve more comfortable and long term biopotential signal recordings than contact electrode. However, it could pick up a significantly higher level of common-mode (CM) noise, which is hardly solved with passive filtering. The impedance imbalance at the electrode-body interface is a limiting factor of this problem, which reduces the common mode rejection ratio (CMRR) of the amplifier. In this work, we firstly present two novel CM noise reduction circuit designs. The circuit designs are based on electrode-body impedance imbalance cancellation. We perform circuit analysis and circuit simulations to explain the principles of the two circuits, both of which showed effectiveness in CM noise rejection. Secondly, we proposed a practical approach to detect and monitor the electrode-body impedance imbalance change. Compared with the conventional approach, it has certain advantages in interference immunity, and good linearity for capacitance. Lastly, we show experimental evaluation results on one of the designs we proposed. The results indicated the validity and feasibility of the approach.

Entities:  

Keywords:  biomedical electronics; common-mode noise; electromagnetic interference; noncontact electrode

Mesh:

Year:  2020        PMID: 33322141      PMCID: PMC7763498          DOI: 10.3390/s20247140

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  10 in total

1.  Wearable sensors and systems. From enabling technology to clinical applications.

Authors:  Paolo Bonato
Journal:  IEEE Eng Med Biol Mag       Date:  2010 May-Jun

2.  An improved method to continuously monitor the electrode-skin impedance during bioelectric measurements.

Authors:  Thomas Degen; Teddy Loeliger
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2007

3.  Eye blink detection for different driver states in conditionally automated driving and manual driving using EOG and a driver camera.

Authors:  Jürgen Schmidt; Rihab Laarousi; Wolfgang Stolzmann; Katja Karrer-Gauß
Journal:  Behav Res Methods       Date:  2018-06

4.  Motion artifacts in capacitive ECG measurements: reducing the combined effect of DC voltages and capacitance changes using an injection signal.

Authors:  A Serteyn; R Vullings; M Meftah; J W M Bergmans
Journal:  IEEE Trans Biomed Eng       Date:  2014-08-15       Impact factor: 4.538

Review 5.  Integrated circuits and electrode interfaces for noninvasive physiological monitoring.

Authors:  Sohmyung Ha; Chul Kim; Yu M Chi; Abraham Akinin; Christoph Maier; Akinori Ueno; Gert Cauwenberghs
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

6.  Eye movement analysis for activity recognition using electrooculography.

Authors:  Andreas Bulling; Jamie A Ward; Hans Gellersen; Gerhard Tröster
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2011-04       Impact factor: 6.226

7.  Common-mode noise cancellation circuit for wearable ECG.

Authors:  Mutsumi Noro; Daisuke Anzai; Jianqing Wang
Journal:  Healthc Technol Lett       Date:  2017-04-20

8.  Design of a Wearable 12-Lead Noncontact Electrocardiogram Monitoring System.

Authors:  Chien-Chin Hsu; Bor-Shing Lin; Ke-Yi He; Bor-Shyh Lin
Journal:  Sensors (Basel)       Date:  2019-03-28       Impact factor: 3.576

9.  Continuous In-Bed Monitoring of Vital Signs Using a Multi Radar Setup for Freely Moving Patients.

Authors:  Sven Schellenberger; Kilin Shi; Fabian Michler; Fabian Lurz; Robert Weigel; Alexander Koelpin
Journal:  Sensors (Basel)       Date:  2020-10-15       Impact factor: 3.576

Review 10.  A Review of the State of the Art in Non-Contact Sensing for COVID-19.

Authors:  William Taylor; Qammer H Abbasi; Kia Dashtipour; Shuja Ansari; Syed Aziz Shah; Arslan Khalid; Muhammad Ali Imran
Journal:  Sensors (Basel)       Date:  2020-10-03       Impact factor: 3.576

  10 in total

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