Semi-automated Detection of the Timing of Respiratory Muscle Activity: Validation and First Application

Respiratory muscle electromyography (EMG) can identify whether a muscle is activated, its activation amplitude, and timing. Most studies have focused on the activation amplitude, while differences in timing and duration of activity have been less investigated. Detection of the timing of respiratory...

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Bibliographic Details
Published in:Frontiers in physiology 2022-01, Vol.12, p.794598-794598
Main Authors: Rodrigues, Antenor, Janssens, Luc, Langer, Daniel, Matsumura, Umi, Rozenberg, Dmitry, Brochard, Laurent, Reid, W Darlene
Format: Article
Language:English
Subjects:
electromyography
neck muscles
Physiology
respiratory muscles
surface electromyography
ventilatory muscles
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Summary:Respiratory muscle electromyography (EMG) can identify whether a muscle is activated, its activation amplitude, and timing. Most studies have focused on the activation amplitude, while differences in timing and duration of activity have been less investigated. Detection of the timing of respiratory muscle activity is typically based on the visual inspection of the EMG signal. This method is time-consuming and prone to subjective interpretation. Our main objective was to develop and validate a method to assess the respective timing of different respiratory muscle activity in an objective and semi-automated manner. Seven healthy adults performed an inspiratory threshold loading (ITL) test at 50% of their maximum inspiratory pressure until task failure. Surface EMG recordings of the costal diaphragm/intercostals, scalene, parasternal intercostals, and sternocleidomastoid were obtained during ITL. We developed a semi-automated algorithm to detect the onset (EMG, onset) and offset (EMG, offset) of each muscle's EMG activity breath-by-breath with millisecond accuracy and compared its performance with manual evaluations from two independent assessors. For each muscle, the Intraclass Coefficient correlation (ICC) of the EMG, onset detection was determined between the two assessors and between the algorithm and each assessor. Additionally, we explored muscle differences in the EMG, onset, and EMG, offset timing, and duration of activity throughout the ITL. More than 2000 EMG, onset s were analyzed for algorithm validation. ICCs ranged from 0.75-0.90 between assessor 1 and 2, 0.68-0.96 between assessor 1 and the algorithm, and 0.75-0.91 between assessor 2 and the algorithm (  
ISSN:1664-042X
1664-042X
DOI:10.3389/fphys.2021.794598