Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD?
A greater proportion of glycolytic muscle fibers is a manifestation of skeletal muscle dysfunction in Chronic Obstructive Pulmonary Disease (COPD). Here, we propose to use the spectral analysis of the electromyographic signal as a non-invasive approach to investigate the fiber muscle composition in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-08-01
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| Series: | Journal of Clinical Medicine |
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| Online Access: | https://www.mdpi.com/2077-0383/10/17/3815 |
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| author | Antonino Casabona Maria Stella Valle Luca Laudani Claudia Crimi Cristina Russo Lucia Malaguarnera Nunzio Crimi Matteo Cioni |
| author_facet | Antonino Casabona Maria Stella Valle Luca Laudani Claudia Crimi Cristina Russo Lucia Malaguarnera Nunzio Crimi Matteo Cioni |
| author_sort | Antonino Casabona |
| collection | DOAJ |
| description | A greater proportion of glycolytic muscle fibers is a manifestation of skeletal muscle dysfunction in Chronic Obstructive Pulmonary Disease (COPD). Here, we propose to use the spectral analysis of the electromyographic signal as a non-invasive approach to investigate the fiber muscle composition in COPD. We recorded the electromyographic activity of Rectus Femoris (RF), Vastus Lateralis (VL), Vastus Medialis (VM) and Biceps Femoris (BF) muscles, in ten patients and ten healthy individuals, during non-fatiguing, flexion–extension leg movements. The mean (MNF) and median frequencies (MDF) were calculated, and the most common profiles of electromyographic power spectrum were characterized by using the principal component analysis. Frequency parameters showed higher values in patients with COPD than in the control group for the RF (+25% for MNF; +21% for MNF), VL (+16% for MNF; 16% for MNF) and VM (+22% for MNF; 22% for MNF) muscles during the extension movements and for the BF (+26% for MNF; 34% for MNF) muscle during flexion movements. Spectrum profiles of the COPD patients shifted towards the higher frequencies, and the changes in frequency parameters were correlated with the level of disease severity. This shift of frequencies may indicate an increase in glycolytic muscle fibers in patients with COPD. These results, along with the non-fatigable nature of the motor task and the adoption of a non-invasive method, encourage to use electromyographic spectral analysis for estimating muscle fiber composition in patients with COPD. |
| first_indexed | 2024-03-10T08:09:39Z |
| format | Article |
| id | doaj.art-45f6a89ad46945e78d56f9943ad0d886 |
| institution | Directory Open Access Journal |
| issn | 2077-0383 |
| language | English |
| last_indexed | 2024-03-10T08:09:39Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Clinical Medicine |
| spelling | doaj.art-45f6a89ad46945e78d56f9943ad0d8862023-11-22T10:47:50ZengMDPI AGJournal of Clinical Medicine2077-03832021-08-011017381510.3390/jcm10173815Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD?Antonino Casabona0Maria Stella Valle1Luca Laudani2Claudia Crimi3Cristina Russo4Lucia Malaguarnera5Nunzio Crimi6Matteo Cioni7Laboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, ItalyLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, ItalyLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, ItalyRespiratory Medicine Unit, Policlinico Vittorio Emanuele-San Marco, University Hospital, 95123 Catania, ItalySection of Pathology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, ItalySection of Pathology, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, ItalyLaboratory of Neuro-Biomechanics, Department of Biomedical and Biotechnological Sciences, School of Medicine, University of Catania, 95123 Catania, ItalyA greater proportion of glycolytic muscle fibers is a manifestation of skeletal muscle dysfunction in Chronic Obstructive Pulmonary Disease (COPD). Here, we propose to use the spectral analysis of the electromyographic signal as a non-invasive approach to investigate the fiber muscle composition in COPD. We recorded the electromyographic activity of Rectus Femoris (RF), Vastus Lateralis (VL), Vastus Medialis (VM) and Biceps Femoris (BF) muscles, in ten patients and ten healthy individuals, during non-fatiguing, flexion–extension leg movements. The mean (MNF) and median frequencies (MDF) were calculated, and the most common profiles of electromyographic power spectrum were characterized by using the principal component analysis. Frequency parameters showed higher values in patients with COPD than in the control group for the RF (+25% for MNF; +21% for MNF), VL (+16% for MNF; 16% for MNF) and VM (+22% for MNF; 22% for MNF) muscles during the extension movements and for the BF (+26% for MNF; 34% for MNF) muscle during flexion movements. Spectrum profiles of the COPD patients shifted towards the higher frequencies, and the changes in frequency parameters were correlated with the level of disease severity. This shift of frequencies may indicate an increase in glycolytic muscle fibers in patients with COPD. These results, along with the non-fatigable nature of the motor task and the adoption of a non-invasive method, encourage to use electromyographic spectral analysis for estimating muscle fiber composition in patients with COPD.https://www.mdpi.com/2077-0383/10/17/3815musculoskeletal systemelectromyographykinematicsknee jointmean frequencymedian frequency |
| spellingShingle | Antonino Casabona Maria Stella Valle Luca Laudani Claudia Crimi Cristina Russo Lucia Malaguarnera Nunzio Crimi Matteo Cioni Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? Journal of Clinical Medicine musculoskeletal system electromyography kinematics knee joint mean frequency median frequency |
| title | Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? |
| title_full | Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? |
| title_fullStr | Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? |
| title_full_unstemmed | Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? |
| title_short | Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD? |
| title_sort | is the power spectrum of electromyography signal a feasible tool to estimate muscle fiber composition in patients with copd |
| topic | musculoskeletal system electromyography kinematics knee joint mean frequency median frequency |
| url | https://www.mdpi.com/2077-0383/10/17/3815 |
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