Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring
American Journal of Bioscience and Bioengineering
Volume 3, Issue 3-1, June 2015, Pages: 14-21
Received: Mar. 24, 2015; Accepted: Mar. 25, 2015; Published: Apr. 3, 2015
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Florin Babarada, Department of Electronics, Polytechnic University of Bucharest, ERG-BioNEC Group, Bucharest, Romania
Cristian Ravariu, Department of Electronics, Polytechnic University of Bucharest, ERG-BioNEC Group, Bucharest, Romania
Dan Prelipceanu, Department of Psychiatry, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Bogdan Patrichi, Department of Psychiatry, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Daniela Manuc, Public Health, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
Aurora Salageanu, Cantacuzino National Research and Development Institute for Microbiology and Immunology, Bucharest, Romania
Iuliana Caras, Cantacuzino National Research and Development Institute for Microbiology and Immunology, Bucharest, Romania
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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.
Healthcare, Compressor Technique, Bioinformatics, Signal Processing, Public Heath, Psychiatric
To cite this article
Florin Babarada, Cristian Ravariu, Dan Prelipceanu, Bogdan Patrichi, Daniela Manuc, Aurora Salageanu, Iuliana Caras, Electronic Tool Interferences with Electrophysiology for the Psychiatric Disorders Monitoring, American Journal of Bioscience and Bioengineering. Special Issue:Bio-Electronics: Biosensors, Biomedical Signal Processing, and Organic Engineering. Vol. 3, No. 3-1, 2015, pp. 14-21. doi: 10.11648/j.bio.s.2015030301.13
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