Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method
Background: Surface electromyography (SEMG) is widely used in clinics for assessing muscle functionality. All procedures proposed for noise reduction alter SEMG spectrum, especially in the low-frequency band (below 30 Hz). Indeed, low-frequency band is generally addressed to motion artifacts and ele...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
|
| Series: | Informatics in Medicine Unlocked |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914818301801 |
| _version_ | 1818450126163673088 |
|---|---|
| author | Agnese Sbrollini Annachiara Strazza Silvia Candelaresi Ilaria Marcantoni Micaela Morettini Sandro Fioretti Francesco Di Nardo Laura Burattini |
| author_facet | Agnese Sbrollini Annachiara Strazza Silvia Candelaresi Ilaria Marcantoni Micaela Morettini Sandro Fioretti Francesco Di Nardo Laura Burattini |
| author_sort | Agnese Sbrollini |
| collection | DOAJ |
| description | Background: Surface electromyography (SEMG) is widely used in clinics for assessing muscle functionality. All procedures proposed for noise reduction alter SEMG spectrum, especially in the low-frequency band (below 30 Hz). Indeed, low-frequency band is generally addressed to motion artifacts and electrocardiogram (ECG) interference without any further investigation on the possibility of SEMG having significant spectral content. The aim of the present study was evaluating SEMG frequency content to understand if low-frequency spectral content is negligible or, on the contrary, represents a significant SEMG portion potentially providing relevant clinical information. Method: Isometric recordings of five muscles (sternocleidomastoideus, erectores spinae at L4, rectus abdominis, rectus femoris and tibialis anterior) were acquired in 10 young healthy voluntary subjects. These recordings were not affected by motion artifacts by construction and were pre-processed by the Segmented-Beat Modulation Method for ECG deletion before performing spectral analysis. Results: Results indicated that SEMG frequency content is muscle and subject dependent. Overall, the 50th[25th;75th] percentiles spectrum median frequency and spectral power below 30 Hz were 74[54; 87] Hz and 18[10; 31] % of total (0–450 Hz) spectral power. Conclusions: Low-frequency spectral content represents a significant SEMG portion and should not be neglected. Keywords: Surface electromyographic signal, Electromyographic spectrum, Segmented-Beat Modulation Method, Non-linear filtering, Spectral analysis |
| first_indexed | 2024-12-14T20:46:20Z |
| format | Article |
| id | doaj.art-3553d9b6c398448eb4d778d4602db0ee |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-12-14T20:46:20Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-3553d9b6c398448eb4d778d4602db0ee2022-12-21T22:48:02ZengElsevierInformatics in Medicine Unlocked2352-91482018-01-01137180Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation MethodAgnese Sbrollini0Annachiara Strazza1Silvia Candelaresi2Ilaria Marcantoni3Micaela Morettini4Sandro Fioretti5Francesco Di Nardo6Laura Burattini7Department of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyDepartment of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyCorresponding author.; Department of Information Engineering, Università Politecnica delle Marche, via Brecce Bianche 12, Ancona, 60131, ItalyBackground: Surface electromyography (SEMG) is widely used in clinics for assessing muscle functionality. All procedures proposed for noise reduction alter SEMG spectrum, especially in the low-frequency band (below 30 Hz). Indeed, low-frequency band is generally addressed to motion artifacts and electrocardiogram (ECG) interference without any further investigation on the possibility of SEMG having significant spectral content. The aim of the present study was evaluating SEMG frequency content to understand if low-frequency spectral content is negligible or, on the contrary, represents a significant SEMG portion potentially providing relevant clinical information. Method: Isometric recordings of five muscles (sternocleidomastoideus, erectores spinae at L4, rectus abdominis, rectus femoris and tibialis anterior) were acquired in 10 young healthy voluntary subjects. These recordings were not affected by motion artifacts by construction and were pre-processed by the Segmented-Beat Modulation Method for ECG deletion before performing spectral analysis. Results: Results indicated that SEMG frequency content is muscle and subject dependent. Overall, the 50th[25th;75th] percentiles spectrum median frequency and spectral power below 30 Hz were 74[54; 87] Hz and 18[10; 31] % of total (0–450 Hz) spectral power. Conclusions: Low-frequency spectral content represents a significant SEMG portion and should not be neglected. Keywords: Surface electromyographic signal, Electromyographic spectrum, Segmented-Beat Modulation Method, Non-linear filtering, Spectral analysishttp://www.sciencedirect.com/science/article/pii/S2352914818301801 |
| spellingShingle | Agnese Sbrollini Annachiara Strazza Silvia Candelaresi Ilaria Marcantoni Micaela Morettini Sandro Fioretti Francesco Di Nardo Laura Burattini Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method Informatics in Medicine Unlocked |
| title | Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method |
| title_full | Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method |
| title_fullStr | Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method |
| title_full_unstemmed | Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method |
| title_short | Surface electromyography low-frequency content: Assessment in isometric conditions after electrocardiogram cancellation by the Segmented-Beat Modulation Method |
| title_sort | surface electromyography low frequency content assessment in isometric conditions after electrocardiogram cancellation by the segmented beat modulation method |
| url | http://www.sciencedirect.com/science/article/pii/S2352914818301801 |
| work_keys_str_mv | AT agnesesbrollini surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT annachiarastrazza surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT silviacandelaresi surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT ilariamarcantoni surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT micaelamorettini surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT sandrofioretti surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT francescodinardo surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod AT lauraburattini surfaceelectromyographylowfrequencycontentassessmentinisometricconditionsafterelectrocardiogramcancellationbythesegmentedbeatmodulationmethod |