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Abstrakt
There has recently been a significant increase in the number of publications on and applications of bioelectric signals for diagnostic purposes. While the use of ECG (electrocardiography) is not surprising, the use of signals from registration of brain activity (EEG) and muscles activity (EMG) still finds new applications in various fields. The authors focus on the use of EMG signals for estimating hand grip force. Currently, EMG signals are broadly used in limb rehabilitation after severe injuries, surgeries, long immobilizations. Such parameters as maximal voluntary contraction (MVC) used for that purpose do not enable comparison of the forces generated by the muscles, for example, of two different people. It is connected, inter alia, with individual features of the studied person, as well as with a significant scatter of the measured EMG values for the same muscle, e.g. on different days of EMG measurements. The paper presents results of preliminary research whose final effect is to develop a procedure allowing force estimation in force units and estimation of the accuracy of the results. A series of tests was performed on two people. The tests showed the most important elements influencing disturbance of homogeneity of the obtained measurements with the same stimulation of the muscle. The authors focus only on determining hand grip force.
Autorzy (2)
-
Robert Barański
- AGH Kraków .
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- Wersja publikacji
- Accepted albo Published Version
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Opublikowano w:
-
Diagnostyka
nr 16,
strony 1 - 5,
ISSN: 1641-6414 - Język:
- angielski
- Rok wydania:
- 2015
- Opis bibliograficzny:
- Grzeczka A., Barański R.: Problems in estimation of hand grip force based on EMG signal// Diagnostyka. -Vol. 16., iss. 2 (2015), s.1-5
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 134 razy
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