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Pregled bibliografske jedinice broj: 682841

Application of EEMD-ICA algorithm to EMG signals laryngeal muscles


Jurić, Tomislav; Bonković, Mirjana; Rogić, Maja
Application of EEMD-ICA algorithm to EMG signals laryngeal muscles // 21st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), / Rožić, Nikola ; Begušić, Dinko (ur.).
Lahti, 2013. str. 1-4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Application of EEMD-ICA algorithm to EMG signals laryngeal muscles

Autori
Jurić, Tomislav ; Bonković, Mirjana ; Rogić, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
21st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), / Rožić, Nikola ; Begušić, Dinko - Lahti, 2013, 1-4

Skup
2013 21st International Conference on Software, Telecommunications and Computer Networks - (SoftCOM 2013)

Mjesto i datum
Primošten, Hrvatska, 18.09.2013. - 20.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Indepedent Component Analysis (ICA); Ensemble Empirical Mode Decomposition (EEMD); transcranial magnetic stimulation; signal processing

Sažetak
This paper describes the application of EEMD-ICA algorithms on electromyographic signals measured in laryngeal muscles. The method was used for the separation of singlechannel data into independent components. During the speech, there was a transcranial magnetic stimulation of the motor cortex area of the brain for speech production i.e. primary motor region of the laryngeal muscles (M1) and Broca's region. Manifestation of magnetic stimulation of those cortex areas and speech itself is recorded in the form of electromyographic signals in laryngeal muscles. The measured signals are a mixture of two different sources: natural stimulus (speech) and the effect of electromagnetic stimulation depending on the area of the speech cortex that is stimulated. This research demonstrated that using EEMD-ICA method, signal which is a mixture of speech and the effect of electromagnetic stimulation to specific areas of the speech cortex, can be successfully separated to the original components. The results were obtained using Matlab. The impact of magnetic stimulation to brain regions is detected and isolated from the laryngeal muscle signal.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Temeljne medicinske znanosti



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split,
Medicinski fakultet, Split

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada ieeexplore.ieee.org

Citiraj ovu publikaciju:

Jurić, Tomislav; Bonković, Mirjana; Rogić, Maja
Application of EEMD-ICA algorithm to EMG signals laryngeal muscles // 21st International Conference on Software, Telecommunications and Computer Networks (SoftCOM), / Rožić, Nikola ; Begušić, Dinko (ur.).
Lahti, 2013. str. 1-4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Jurić, T., Bonković, M. & Rogić, M. (2013) Application of EEMD-ICA algorithm to EMG signals laryngeal muscles. U: Rožić, N. & Begušić, D. (ur.)21st International Conference on Software, Telecommunications and Computer Networks (SoftCOM),.
@article{article, author = {Juri\'{c}, Tomislav and Bonkovi\'{c}, Mirjana and Rogi\'{c}, Maja}, year = {2013}, pages = {1-4}, keywords = {Indepedent Component Analysis (ICA), Ensemble Empirical Mode Decomposition (EEMD), transcranial magnetic stimulation, signal processing}, title = {Application of EEMD-ICA algorithm to EMG signals laryngeal muscles}, keyword = {Indepedent Component Analysis (ICA), Ensemble Empirical Mode Decomposition (EEMD), transcranial magnetic stimulation, signal processing}, publisherplace = {Primo\v{s}ten, Hrvatska} }
@article{article, author = {Juri\'{c}, Tomislav and Bonkovi\'{c}, Mirjana and Rogi\'{c}, Maja}, year = {2013}, pages = {1-4}, keywords = {Indepedent Component Analysis (ICA), Ensemble Empirical Mode Decomposition (EEMD), transcranial magnetic stimulation, signal processing}, title = {Application of EEMD-ICA algorithm to EMG signals laryngeal muscles}, keyword = {Indepedent Component Analysis (ICA), Ensemble Empirical Mode Decomposition (EEMD), transcranial magnetic stimulation, signal processing}, publisherplace = {Primo\v{s}ten, Hrvatska} }




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