Abstract
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.
| Original language | English |
|---|---|
| Article number | 01051 |
| Journal | MATEC Web of Conferences |
| Volume | 79 |
| DOIs | |
| Publication status | Published - 11 Oct 2016 |
| Event | 7th Scientific Conference on Information-Measuring Equipment and Technologies, IME and T 2016 - Tomsk, Russian Federation Duration: 25 May 2016 → 28 May 2016 |
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ASJC Scopus subject areas
- Chemistry(all)
- Engineering(all)
- Materials Science(all)
Cite this
Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses. / Avdeeva, Diana; Zakharchenko, Ekaterina; Nguyen, Dang Quang; Turushev, Nikita; Abdrakhmanov, Aryslan; Vorona, Roman; Popkov, Arnold; Tverdokhlebov, Sergey.
In: MATEC Web of Conferences, Vol. 79, 01051, 11.10.2016.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Advantages of Nanosensors in the Development of Interfaces for Bioelectric Prostheses
AU - Avdeeva, Diana
AU - Zakharchenko, Ekaterina
AU - Nguyen, Dang Quang
AU - Turushev, Nikita
AU - Abdrakhmanov, Aryslan
AU - Vorona, Roman
AU - Popkov, Arnold
AU - Tverdokhlebov, Sergey
PY - 2016/10/11
Y1 - 2016/10/11
N2 - 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.
AB - 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.
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U2 - 10.1051/matecconf/20167901051
DO - 10.1051/matecconf/20167901051
M3 - Article
VL - 79
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01051
ER -