Literature DB >> 25052344

Capacitive measurement of ECG for ubiquitous healthcare.

Yong Gyu Lim1, Jeong Su Lee, Seung Min Lee, Hong Ji Lee, Kwang Suk Park.   

Abstract

The technology for measuring ECG using capacitive electrodes and its applications are reviewed. Capacitive electrodes are built with a high-input-impedance preamplifier and a shield on their rear side. Guarding and driving ground are used to reduce noise. An analysis of the intrinsic noise shows that the thermal noise caused by the resistance in the preamplifier is the dominant factor of the intrinsic noise. A fully non-contact capacitive measurement has been developed using capacitive grounding and applied to a non-intrusive ECG measurement in daily life. Many ongoing studies are examining how to enhance the quality and ease of applying electrodes, thus extending their applications in ubiquitous healthcare from attached-on-object measurements to wearable or EEG measurements.

Mesh:

Year:  2014        PMID: 25052344     DOI: 10.1007/s10439-014-1069-6

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  4 in total

1.  The Effect of Electrode Designs Based on the Anatomical Heart Location for the Non-Contact Heart Activity Measurement.

Authors:  Sun Ok Gi; Young-Jae Lee; Hye Ran Koo; Seung Pyo Lee; Kang-Hwi Lee; Kyeng-Nam Kim; Seung-Jin Kang; Joo Hyeon Lee; Jeong-Whan Lee
Journal:  J Med Syst       Date:  2015-10-21       Impact factor: 4.460

2.  Evaluation of a Multichannel Non-Contact ECG System and Signal Quality Algorithms for Sleep Apnea Detection and Monitoring.

Authors:  Ivan D Castro; Carolina Varon; Tom Torfs; Sabine Van Huffel; Robert Puers; Chris Van Hoof
Journal:  Sensors (Basel)       Date:  2018-02-13       Impact factor: 3.576

3.  Noise-Resistant CECG Using Novel Capacitive Electrodes.

Authors:  Chi-Chun Chen; Cheng-Wei Chen; Chang-Wei Hsieh
Journal:  Sensors (Basel)       Date:  2020-05-01       Impact factor: 3.576

Review 4.  Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.

Authors:  Roberto Portillo-Lara; Bogachan Tahirbegi; Christopher A R Chapman; Josef A Goding; Rylie A Green
Journal:  APL Bioeng       Date:  2021-07-20
  4 in total

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