Relationship between Chronic Obstructive Pulmonary Disease Severity and Surface Electromyography Parameters during Fatigue Caused by Knee Extensor Contractions
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Objective: Skeletal muscle dysfunction, which is characterized by decreased muscle strength and endurance, contributes to dyspnea during exercise in patients with chronic obstructive pulmonary disease (COPD), regardless of pulmonary function. This study analyzed skeletal muscle function in patients with COPD through surface electromyography (sEMG) evaluations and signal processing and attempted to determine whether sEMG parameters for muscle fatigue reflect the course of the disease. Methods: In 24 patients with COPD, maximal voluntary isometric contraction and ramp contraction were performed during isometric knee extension, and the sEMG activity of the rectus femoris muscle was measured. The patients were divided into three groups according to their modified Medical Research Council (mMRC) grade and Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. Patients with mMRC grades 0 and 1 were classified into group A, grade 2 into group B, and grades 3 and 4 into group C. Patients with GOLD stage 1 were classified into group I, stage 2 into group II, and stages 3 and 4 into group III. sEMG parameters were compared between groups using one-way analysis of variance. Results: There were significant differences in the minimum median frequency and fatigue index between the mMRC groups. However, the sEMG parameters did not differ significantly among the GOLD groups. Conclusion: Muscle fatigue differs according to the severity of subjective dyspnea in COPD. sEMG evaluations and signal processing can play supplementary roles in evaluating muscle endurance and predicting functional capacity in COPD.
Abstract
Objective: Skeletal muscle dysfunction, which is characterized by decreased muscle strength and endurance, contributes to dyspnea during exercise in patients with chronic obstructive pulmonary disease (COPD), regardless of pulmonary function. This study analyzed skeletal muscle function in patients with COPD through surface electromyography (sEMG) evaluations and signal processing and attempted to determine whether sEMG parameters for muscle fatigue reflect the course of the disease. Methods: In 24 patients with COPD, maximal voluntary isometric contraction and ramp contraction were performed during isometric knee extension, and the sEMG activity of the rectus femoris muscle was measured. The patients were divided into three groups according to their modified Medical Research Council (mMRC) grade and Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. Patients with mMRC grades 0 and 1 were classified into group A, grade 2 into group B, and grades 3 and 4 into group C. Patients with GOLD stage 1 were classified into group I, stage 2 into group II, and stages 3 and 4 into group III. sEMG parameters were compared between groups using one-way analysis of variance. Results: There were significant differences in the minimum median frequency and fatigue index between the mMRC groups. However, the sEMG parameters did not differ significantly among the GOLD groups. Conclusion: Muscle fatigue differs according to the severity of subjective dyspnea in COPD. sEMG evaluations and signal processing can play supplementary roles in evaluating muscle endurance and predicting functional capacity in COPD.
참고문헌 (27)
- Maltais F, "An official American Thoracic Society", European Respiratory Society statement : update on limb muscle dysfunction in chronic obstructive pulmonary disease, 2014, pp.189, e15~e62
- Schols AM, "Body composition and mortality in chronic obstructive pulmonary disease", Am J Clin Nutr, 82, pp.53~59 (2005)
- Bernard S, "Peripheral muscle weakness in patients with chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 158, pp.629~634 (1998)
- Man WD, "Non-volitional assessment of skeletal muscle strength in patients with chronic obstructive pulmonary disease", Thorax, 58, pp.665~669 (2003)
- Newman AB, "Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort", J Gerontol A Biol Sci Med Sci, 61, pp.72~77 (2006)
- Swallow EB, "Quadriceps strength predicts mortality in patients with moderate to severe chronic obstructive pulmonary disease", Thorax, 62, pp.115~120 (2007)
- Kim HC, "Skeletal muscle dysfunction in patients with chronic obstructive pulmonary disease", Int J Chron Obstruct Pulmon Dis, 3, pp.637~658 (2008)
- Gosker HR, "Muscle fibre type shifting in the vastus lateralis of patients with COPD is associated with disease severity: a systematic review and meta-analysis", Thorax, 62, pp.944~949 (2007)
- Barreiro E, "Gea J : Respiratory and limb muscle dysfunction in COPD", COPD, 12, pp.413~426 (2015)
- Saey D, "Assessment of muscle fatigue during exercise in chronic obstructive pulmonary disease", Muscle Nerve, 34, pp.62~71 (2006)
- Karlsson S, "Mean frequency and signal amplitude of the surface EMG of the quadriceps muscles increase with increasing torque: a study using the continuous wavelet transform", J Electromyogr Kinesiol, 11, pp.131~140 (2001)
- Boccia G, "Electromyographic manifestations of fatigue correlate with pulmonary function, 6-minute walk test, and time to exhaustion in COPD", Respir Care, 60, pp.1295~1302 (2015)
- Hermens HJ, "European recommendations for surface electromyography", Roessingh Res Dev, 8, pp.13~54 (1999)
- "Standards for the diagnosis and care of patients with chronic obstructive pulmonary disease (COPD) and asthma: This official statement of the American Thoracic Society was adopted by the ATS Board of Directors, November 1986", Am Rev Respir Dis, 136, pp.225~244 (1987)
- ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories, "ATS statement: guidelines for the six-minute walk test", Am J Respir Crit Care Med, 166, pp.111~117 (2002)
- Lee JW, "Two-stage binary classifier for neuromuscular disorders using surface electromyography feature extraction and selection", Med Eng Phys, 98, pp.65~72 (2021)
- Hébert-Losier K, "Knee angle-specific MVIC for triceps surae EMG signal normalization in weight and non weight-bearing conditions", J Electromyogr Kinesiol, 23, pp.916~923 (2013)
- De Michele G, "Cross-correlation time-frequency analysis for multiple EMG signals in Parkinson’s disease: a wavelet approach", Med Eng Phys, 25, pp.361~369 (2003)
- Lee JW, "Timed up & go quantification algorithm using IMU and sEMG signal", Biomed Signal Process Control, 80, pp.104309~ (2023)
- Sheikhan M, "Modular neural-SVM scheme for speech emotion recognition using ANOVA feature selection method", Neural Comput Appl, 23, pp.215~227 (2013)
- Crisafulli E, "A high degree of dyspnea is associated with poor maximum exercise capacity in subjects with COPD with the same severity of air-flow obstruction", Respir Care, 64, pp.390~397 (2019)
- Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: 2022 report, "Global Initiative for Chronic Obstructive Lung Disease", GOLD, ~ (2021)
- Saey D, "Contractile leg fatigue after cycle exercise : a factor limiting exercise in patients with chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 168, pp.425~430 (2003)
- Simon M, "Limitation of lower limb VO(2)during cycling exercise in COPD patients", J Appl Physiol(1985), 90, pp.1013~1019 (2001)
- Saey D, "Contractile fatigue, muscle morphometry, and blood lactate in chronic obstructive pulmonary disease", Am J Respir Crit Care Med, 171, pp.1109~1115 (2005)
- Allaire J, "Peripheral muscle endurance and the oxidative profile of the quadriceps in patients with COPD", Thorax, 59, pp.673~678 (2004)
- Williams TJ, "Maximal exercise testing in single and double lung transplant recipients", Am Rev Respir Dis, 145, pp.101~105 (1992)