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Updated: Aug 2, 2025

Acquisition and Semi-Automated Analysis of Respiratory Muscle Surface Electromyography
Published on: January 24, 2025
High- and low-intensity expiratory muscle strength training in patients with severe obstructive sleep apnea syndrome
Nurel Erturk1, Adem Celik2, Ebru CalikKutukcu3
1Cardiopulmonary Rehabilitation Unit, University of Health Sciences, Ahi Evren Thoracic and Cardiovascular Surgery Training and Research Hospital, Trabzon, Turkey.
Background:
The effects of expiratory muscle strength training (EMST) with different intensity on stages of sleep were not examined in patients with obstructive sleep apnea syndrome (OSAS).
Objectives:
The aim of this study was to compare the effects of high- and low-intensity EMST (H-EMST and L-EMST) on disease severity, sleep stages, disease-related symptoms, daytime sleepiness, fatigue severity, and sleep quality in adult patients with severe OSAS using non-invasive mechanical ventilation (NIMV).
Methods:
Thirty-one clinically stable patients with severe OSAS were included in this prospective, randomized controlled, double-blinded study. These were randomly divided into two groups. The H-EMST group underwent training at 60% of maximum expiratory pressure (MEP) and the L-EMST group at 30% of MEP, seven days a week for eight weeks. Apnea hypopnea index (AHI), sleep stages, and respiratory sleep parameters were recorded using polysomnographic sleep analysis.
Results:
AHI decreased by 34.57% and 20.20% in the H-EMST and L-EMST groups, respectively. A statistically significant improvement in disease severity classifications distributions was observed in the H-EMST group after training (p = 0.016). A greater number of symptoms improved in the H-EMST. The effects of training on respiratory muscle strength, daytime sleepiness, fatigue perception, and sleep quality levels were comparable between the two groups (p>0.05).
Conclusions:
H-EMST training is more effective in reducing disease severity and disease-related symptoms than L-EMST. Further studies are warranted for evaluating the long-term effects of EMST with larger sample sizes in OSAS.
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