Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses; MATEC Web of Conferences; Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016)
| Parent link: | MATEC Web of Conferences Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016).— 2016.— [01051, 9 p.] |
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| Corporate Authors: | , , |
| Other Authors: | , , , , , , , |
| Summary: | Title screen The present research aims to explore the bioelectric activity of muscles using a high-resolution electromyograph and to analyze the prospects of the electromyograph to develop bioelectric patterns for the prosthesis control method based on the data recognition system. The activity of the healthy forearm muscles was investigated during the cyclic activity of fingers in different modes. In addition, the impact of filters on the quality and informativity of myoelectric signals, as well as on the development of bioelectric activity patterns was analyzed. The virtually developed bandpass filters were utilized as experimental filters. The filter impact analysis included the comparison of the signal recorded in the frequency band from 0 to 10000 Hz with the signal filtered in the frequency band from 20 to 500 Hz. The research revealed the advantages of a high-resolution electromyogram for the pattern recognition-based myocontrol. |
| Language: | English |
| Published: |
2016
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20167901051 http://earchive.tpu.ru/handle/11683/35266 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=651545 |
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| 200 | 1 | |a Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses |f D. K. Avdeeva [et al.] | |
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| 300 | |a Title screen | ||
| 320 | |a [References: 12 tit.] | ||
| 330 | |a The present research aims to explore the bioelectric activity of muscles using a high-resolution electromyograph and to analyze the prospects of the electromyograph to develop bioelectric patterns for the prosthesis control method based on the data recognition system. The activity of the healthy forearm muscles was investigated during the cyclic activity of fingers in different modes. In addition, the impact of filters on the quality and informativity of myoelectric signals, as well as on the development of bioelectric activity patterns was analyzed. The virtually developed bandpass filters were utilized as experimental filters. The filter impact analysis included the comparison of the signal recorded in the frequency band from 0 to 10000 Hz with the signal filtered in the frequency band from 20 to 500 Hz. The research revealed the advantages of a high-resolution electromyogram for the pattern recognition-based myocontrol. | ||
| 461 | 0 | |0 (RuTPU)RU\TPU\network\4526 |t MATEC Web of Conferences | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\16675 |t Vol. 79 : Information-Measuring Equipment and Technologies (IME&T 2016) |o VII Scientific Conference with International Participation, May 25-28, 2016, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. A. V. Yurchenko ; V. I. Syryamkin |v [01051, 9 p.] |d 2016 | |
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| 610 | 1 | |a интерфейсы | |
| 610 | 1 | |a протезы | |
| 610 | 1 | |a биоэлектрическая активность | |
| 610 | 1 | |a электромиография | |
| 610 | 1 | |a сигналы | |
| 610 | 1 | |a паттерны | |
| 610 | 1 | |a электромиограммы | |
| 701 | 1 | |a Avdeeva |b D. K. |c specialist in the field of non-destructive testing |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1943- |g Diana Konstantinovna |3 (RuTPU)RU\TPU\pers\33062 | |
| 701 | 1 | |a Zakharchenko |b E. |g Ekaterina | |
| 701 | 0 | |a Dang Quang Nguyen | |
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| 701 | 1 | |a Vorona |b R. |g Roman | |
| 701 | 1 | |a Popkov |b A. |g Arnold | |
| 701 | 1 | |a Tverdokhlebov |b S. I. |c physicist |c Associate Professor of Tomsk Polytechnic University, Candidate of physical and mathematical science |f 1961- |g Sergei Ivanovich |3 (RuTPU)RU\TPU\pers\30855 |9 15101 | |
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