American Journal of Bioscience and Bioengineering

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Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring

Received: 24 March 2015    Accepted: 25 March 2015    Published: 03 April 2015
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Abstract

The paper presents a hardware solution of the in vivo electrophysiological signals acquiring and processing, using a continuous data acquisition on PC. The originality of the paper comes from architecture proposal, with some new blocks, which selective amplify and filter biosignals. One of the major problems in the electrophysiological signals monitoring is the impossibility to record the weak signals from deep organs that are covered by noise and by strong cardiac or muscular artefact signals. The analogical processing block is based on a dynamic range compressor, containing the automatic gain control block, so that the high power signals are less amplified than the low components. The following block is a clipper since to capture all the transitions that escape from the dynamic range compressor. At clipper output a low-pass filter is connected since to abruptly cut the high specific bio-frequencies. The data vector recording is performing by strong internal resources microcontroller including ten bits A/D conversion port. Through some specific measurements and calibration the chain can be used to capture and then interprets the neuronal signal with well applications in public health monitoring like psychiatric disorders.

DOI 10.11648/j.bio.s.2015030301.13
Published in American Journal of Bioscience and Bioengineering (Volume 3, Issue 3-1, June 2015)

This article belongs to the Special Issue Bio-Electronics: Biosensors, Biomedical Signal Processing, and Organic Engineering

Page(s) 14-21
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Healthcare, Compressor Technique, Bioinformatics, Signal Processing, Public Heath, Psychiatric

References
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Author Information
  • Department of Electronics, Polytechnic University of Bucharest, ERG-BioNEC Group, Bucharest, Romania

  • Department of Electronics, Polytechnic University of Bucharest, ERG-BioNEC Group, Bucharest, Romania

  • Department of Psychiatry, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania

  • Department of Psychiatry, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania

  • Public Health, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania

  • Cantacuzino National Research and Development Institute for Microbiology and Immunology, Bucharest, Romania

  • Cantacuzino National Research and Development Institute for Microbiology and Immunology, Bucharest, Romania

Cite This Article
  • APA Style

    Florin Babarada, Cristian Ravariu, Dan Prelipceanu, Bogdan Patrichi, Daniela Manuc, et al. (2015). Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring. American Journal of Bioscience and Bioengineering, 3(3-1), 14-21. https://doi.org/10.11648/j.bio.s.2015030301.13

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    ACS Style

    Florin Babarada; Cristian Ravariu; Dan Prelipceanu; Bogdan Patrichi; Daniela Manuc, et al. Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring. Am. J. BioSci. Bioeng. 2015, 3(3-1), 14-21. doi: 10.11648/j.bio.s.2015030301.13

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    AMA Style

    Florin Babarada, Cristian Ravariu, Dan Prelipceanu, Bogdan Patrichi, Daniela Manuc, et al. Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring. Am J BioSci Bioeng. 2015;3(3-1):14-21. doi: 10.11648/j.bio.s.2015030301.13

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  • @article{10.11648/j.bio.s.2015030301.13,
      author = {Florin Babarada and Cristian Ravariu and Dan Prelipceanu and Bogdan Patrichi and Daniela Manuc and Aurora Salageanu and Iuliana Caras},
      title = {Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring},
      journal = {American Journal of Bioscience and Bioengineering},
      volume = {3},
      number = {3-1},
      pages = {14-21},
      doi = {10.11648/j.bio.s.2015030301.13},
      url = {https://doi.org/10.11648/j.bio.s.2015030301.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.bio.s.2015030301.13},
      abstract = {The paper presents a hardware solution of the in vivo electrophysiological signals acquiring and processing, using a continuous data acquisition on PC. The originality of the paper comes from architecture proposal, with some new blocks, which selective amplify and filter biosignals. One of the major problems in the electrophysiological signals monitoring is the impossibility to record the weak signals from deep organs that are covered by noise and by strong cardiac or muscular artefact signals. The analogical processing block is based on a dynamic range compressor, containing the automatic gain control block, so that the high power signals are less amplified than the low components. The following block is a clipper since to capture all the transitions that escape from the dynamic range compressor. At clipper output a low-pass filter is connected since to abruptly cut the high specific bio-frequencies. The data vector recording is performing by strong internal resources microcontroller including ten bits A/D conversion port. Through some specific measurements and calibration the chain can be used to capture and then interprets the neuronal signal with well applications in public health monitoring like psychiatric disorders.},
     year = {2015}
    }
    

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    T1  - Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring
    AU  - Florin Babarada
    AU  - Cristian Ravariu
    AU  - Dan Prelipceanu
    AU  - Bogdan Patrichi
    AU  - Daniela Manuc
    AU  - Aurora Salageanu
    AU  - Iuliana Caras
    Y1  - 2015/04/03
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    DO  - 10.11648/j.bio.s.2015030301.13
    T2  - American Journal of Bioscience and Bioengineering
    JF  - American Journal of Bioscience and Bioengineering
    JO  - American Journal of Bioscience and Bioengineering
    SP  - 14
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    PB  - Science Publishing Group
    SN  - 2328-5893
    UR  - https://doi.org/10.11648/j.bio.s.2015030301.13
    AB  - The paper presents a hardware solution of the in vivo electrophysiological signals acquiring and processing, using a continuous data acquisition on PC. The originality of the paper comes from architecture proposal, with some new blocks, which selective amplify and filter biosignals. One of the major problems in the electrophysiological signals monitoring is the impossibility to record the weak signals from deep organs that are covered by noise and by strong cardiac or muscular artefact signals. The analogical processing block is based on a dynamic range compressor, containing the automatic gain control block, so that the high power signals are less amplified than the low components. The following block is a clipper since to capture all the transitions that escape from the dynamic range compressor. At clipper output a low-pass filter is connected since to abruptly cut the high specific bio-frequencies. The data vector recording is performing by strong internal resources microcontroller including ten bits A/D conversion port. Through some specific measurements and calibration the chain can be used to capture and then interprets the neuronal signal with well applications in public health monitoring like psychiatric disorders.
    VL  - 3
    IS  - 3-1
    ER  - 

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