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Analysis of continuous diaphragm electromyographic signal: Results from a patient with amyotrophic lateral sclerosis
Author(s) -
Katzberg Hans D.,
Barros Daniel F.,
Widrow Bernard,
Cho Charles S.,
So Yuen T.
Publication year - 2011
Publication title -
muscle and nerve
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.025
H-Index - 145
eISSN - 1097-4598
pISSN - 0148-639X
DOI - 10.1002/mus.21985
Subject(s) - amyotrophic lateral sclerosis , electromyography , medicine , diaphragm (acoustics) , signal (programming language) , physical medicine and rehabilitation , computer science , acoustics , physics , disease , loudspeaker , programming language
: Analysis of continuous diaphragm electromyography (dEMG) has not been well studied. We describe a system of analyzing continuous dEMG using implanted electrodes. Methods : dEMG signal was acquired via two pairs of electrodes near the diaphragm motor points. Raw bursts of dEMG signal were compared to externally captured electrocardiogram (ECG) using adaptive filtering in order to remove cardiac contamination. Differential energy levels were used to identify each dEMG burst, and average amplitude and area values from both hemidiaphragms were aggregated and averaged for the duration of the recording. Results : A 64‐year‐old patient with amyotrophic lateral sclerosis underwent three serial dEMG studies every 6 months. An average of three tracings were collected per visit, and all had excellent intertest reliability (κ > 0.8). Average dEMG area correlated with forced vital capacity and mean inspiratory pressure ( r 2 > 0.9). Conclusions : The approach described represents a comprehensive method for capturing and analyzing continuous diaphragm EMG signal. Muscle Nerve, 2011