CITATION
Berry RB, Wagner MH. Transformed ECG signals: another potential use. J Clin Sleep Med. 2019;15(12):1861.
We appreciate the letter to the editor written by Dr. Mark Stewart1 to comment on our recent publication2 concerning the use of a transformed electrocardiogram (ECG) signal (using high pass filtering) to detect respiratory effort during apnea. His letter points out another potential use of a transformed ECG signal. A study published in 2017 by Stewart et al3 in a rat model recorded a high pass filtered ECG signal during tracheal occlusion. Variations in the transformed signal (“electromyography based artifact”) were associated with each inspiratory effort. In addition, the amplitude of the variations increased with increasing effort. Ictal or post ictal laryngospasm is believed to be a possible cause of sudden death in epilepsy.4–6 Variations in the ECG signal (especially after high pass filtering) during apnea events associated with a seizure have been demonstrated and have been proposed as a “biomarker” of airway (laryngeal) obstruction.4–6 During monitoring of patients with epilepsy only electroencephalogram, ECG, and oxygen saturation data may be available for analysis after a seizure related desaturation event. Transformation of the ECG signal could potentially demonstrate evidence of airway obstruction associated with the event. Even if respiratory effort is monitored, a transformed ECG signal may still be useful as deflections in the effort belt signal during a desaturation event may be too small for definitive demonstration of airway obstruction. We thank Dr. Stewart for pointing out a potentially important use of a transformed ECG signal in a clinical setting other than obstructive sleep apnea.
DISCLOSURE STATEMENT
All authors have seen and approved the manuscript. The authors report no conflicts of interest.
REFERENCES
- 1.Stewart M. Transformed ECG signals highlight similarities between obstructive sleep apnea and obstructive apnea due to seizure-induced laryngospasm. J Clin Sleep Med. 2019;15(12):1859. doi: 10.5664/jcsm.8102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Berry RB, Ryals S, Dibra M, Wagner MH. Use of a transformed ECG signal to detect respiratory effort during apnea. J Clin Sleep Med. 2019;15(7):991–998. doi: 10.5664/jcsm.7880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Stewart M, Kollmar R, Nakase K, et al. Obstructive apnea due to laryngospasm links ictal to postictal events in SUDEP cases and offers practical biomarkers for review of past cases and prevention of new ones. Epilepsia. 2017;58(6):e87–e90. doi: 10.1111/epi.13765. [DOI] [PubMed] [Google Scholar]
- 4.Ryvlin P, Nashef L, Lhatoo SD, et al. Incidence and mechanisms of cardiorespiratory arrests in epilepsy monitoring units (MORTEMUS): aretrospective study. Lancet Neurol. 2013;12(10):966–977. doi: 10.1016/S1474-4422(13)70214-X. [DOI] [PubMed] [Google Scholar]
- 5.Nakase K, Kollmar R, Lazar J, et al. Laryngospasm, central and obstructive apnea during seizures: defining pathophysiology for sudden death in a rat model. Epilepsy Res. 2016;128:126–139. doi: 10.1016/j.eplepsyres.2016.08.004. [DOI] [PubMed] [Google Scholar]
- 6.Lacuey N, Vilella L, Hampson JP, Sahadevan J, Lhatoo SD. Ictal laryngospasm monitored by video-EEG and polygraphy: a potential SUDEP mechanism. Epileptic Disord. 2018;20(2):146–150. doi: 10.1684/epd.2018.0964. [DOI] [PubMed] [Google Scholar]
