Analysis of the effect of filtering elements on EEG and EMG recorded with high sensitivity channel based on nanoelectrodes
| Parent link: | Biology and Medicine Vol. 6, iss. 2.— 2014.— [BM-026-14, 6 p.] |
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| Other Authors: | , , , , |
| Summary: | Title screen Currently, to provide complete information on measuring is one of the most essential problems for measuring devices.Filtering elements in measuring devices, as well as in medical apparatus, significantly affect the quality of the obtaineddata. The problem of the filter effect on measuring results has been solved by computer simulation of the filtrationprocess. The filtering influence effect on the obtained bioelectrical signals without filtering was analyzed. The apparatusbased on highly stable low-noise nanoelectrodes was used to record high resolution signals without filter circuits.It is shown that filters cause significant distortions in the signal at low frequencies, and the information on the lowfrequencyprocesses occurring in the brain is virtually removed by the filters. |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://www.biolmedonline.com/Articles/Vol6_2_2014/BM-026-14_Grigoriev2.pdf |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=642284 |
| Summary: | Title screen Currently, to provide complete information on measuring is one of the most essential problems for measuring devices.Filtering elements in measuring devices, as well as in medical apparatus, significantly affect the quality of the obtaineddata. The problem of the filter effect on measuring results has been solved by computer simulation of the filtrationprocess. The filtering influence effect on the obtained bioelectrical signals without filtering was analyzed. The apparatusbased on highly stable low-noise nanoelectrodes was used to record high resolution signals without filter circuits.It is shown that filters cause significant distortions in the signal at low frequencies, and the information on the lowfrequencyprocesses occurring in the brain is virtually removed by the filters. |
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