dc.contributor.author | Kaplanis, P. A. | en |
dc.contributor.author | Pattichis, Constantinos S. | en |
dc.contributor.author | Hadjileontiadis, L. J. | en |
dc.contributor.author | Panas, S. M. | en |
dc.creator | Kaplanis, P. A. | en |
dc.creator | Pattichis, Constantinos S. | en |
dc.creator | Hadjileontiadis, L. J. | en |
dc.creator | Panas, S. M. | en |
dc.date.accessioned | 2019-11-13T10:40:37Z | |
dc.date.available | 2019-11-13T10:40:37Z | |
dc.date.issued | 2000 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54215 | |
dc.description.abstract | The objective of this ongoing study is to investigate whether or not Bispectral analysis (BS), a particular form of higher order spectra (HOS), may be utilized for analyzing the surface electromyographic signal (SEMG). The bicoherence index was used for characterizing the Gaussianity of the signal. Results indicate that SEMG signal distribution is highly non-Gaussian at low and high levels of force whereas the distribution has its maximum Gaussianity at the mid level of maximum voluntary contraction (MVC), i.e. at 50%. A measure of the linearity of the signal, based on deciding whether or not the estimated bicoherence is constant, follows the reverse pattern with the measure of Gaussianity. The power spectrum's (PS) median frequency, decreases from 105 to 93 Hz with increase of force, whereas the number of turns and the number of zero crosses increase with force. Further work is currently in progress in order to evaluate the usefulness of HOS in normal subjects and subjects suffering from neuromuscular disorders. | en |
dc.publisher | IEEE | en |
dc.source | Proceedings of the Mediterranean Electrotechnical Conference - MELECON | en |
dc.source | 10th Mediterranean Electrotechnical Conference (MALECON2000) | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0034475980&partnerID=40&md5=161d69e991514274992f34c7a8664e24 | |
dc.subject | Muscle | en |
dc.subject | Parameter estimation | en |
dc.subject | Frequency domain analysis | en |
dc.subject | Spectrum analysis | en |
dc.subject | Digital signal processing | en |
dc.subject | Time domain analysis | en |
dc.subject | Diseases | en |
dc.subject | Data recording | en |
dc.subject | Surface electromyography | en |
dc.subject | Electromyography | en |
dc.subject | Maximum voluntary contraction | en |
dc.subject | Bispectral analysis | en |
dc.subject | Power spectrum analysis | en |
dc.title | Bispectral analysis of surface EMG | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 2 | |
dc.description.startingpage | 770 | |
dc.description.endingpage | 773 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: IEEE | en |
dc.description.notes | Conference code: 57862 | en |
dc.description.notes | Cited By :23</p> | en |
dc.contributor.orcid | Pattichis, Constantinos S. [0000-0003-1271-8151] | |
dc.gnosis.orcid | 0000-0003-1271-8151 | |