Electromyogram-triggered inspiratory event detection algorithm

Douglas E. Dow, Anita M. Petrilli, Carlos Bernardo Mantilla, Wen Zhi Zhan, Gary C Sieck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Algorithms capable of accurately detecting inspiratory activity in respiratory muscles may serve to time the triggering of implantable pacemakers or mechanical ventilators, and thus, may improve the quality of life for many individuals requiring assisted ventilation by matching ventilation to physiological demands while minimizing interference with other behaviors (e.g., talking or swallowing). We are developing an algorithm to detect the timing (onset and duration) of inspiratory events from the electromyogram (EMG) signal. Even following paralysis of the phrenic nerves and diaphragm muscle, more upstream sites still contain neural activity that reflects the intrinsic inspiratory drive from the brain. Using these signals to control the onset of assisted inspirations would help match ventilation to physiological drive. As a platform to develop inspiration detection algorithms for testing of this concept, EMG signals of the diaphragm of rats during natural cycles of inspirations were analyzed. A state-machine was utilized for classification. Inspirations were detected with ∼98% accuracy in anesthetized and awake rats. Following detection of inspiratory events by the algorithm, ∼80% of the inspiratory burst durations still remained, allowing for treatments, such as functional electrical stimulation (FES), to induce muscle contractions for inspiration. Application of this algorithm with EMG signals of more upstream inspiratory muscles may prove useful in cases of bilateral diaphragm paralysis as a result of phrenic nerve injury or tetraplegia.

Original languageEnglish (US)
Title of host publication6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012
Pages789-794
Number of pages6
DOIs
StatePublished - 2012
Event2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012 - Kobe, Japan
Duration: Nov 20 2012Nov 24 2012

Other

Other2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012
CountryJapan
CityKobe
Period11/20/1211/24/12

Fingerprint

Muscle
Diaphragms
Ventilation
Rats
Pacemakers
Brain
Testing

Keywords

  • diaphragm
  • EMG
  • functional electrical stimulation
  • neuromuscular prosthesis
  • state-machine
  • ventilation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Dow, D. E., Petrilli, A. M., Mantilla, C. B., Zhan, W. Z., & Sieck, G. C. (2012). Electromyogram-triggered inspiratory event detection algorithm. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 (pp. 789-794). [6505353] https://doi.org/10.1109/SCIS-ISIS.2012.6505353

Electromyogram-triggered inspiratory event detection algorithm. / Dow, Douglas E.; Petrilli, Anita M.; Mantilla, Carlos Bernardo; Zhan, Wen Zhi; Sieck, Gary C.

6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 789-794 6505353.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dow, DE, Petrilli, AM, Mantilla, CB, Zhan, WZ & Sieck, GC 2012, Electromyogram-triggered inspiratory event detection algorithm. in 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012., 6505353, pp. 789-794, 2012 Joint 6th International Conference on Soft Computing and Intelligent Systems, SCIS 2012 and 13th International Symposium on Advanced Intelligence Systems, ISIS 2012, Kobe, Japan, 11/20/12. https://doi.org/10.1109/SCIS-ISIS.2012.6505353
Dow DE, Petrilli AM, Mantilla CB, Zhan WZ, Sieck GC. Electromyogram-triggered inspiratory event detection algorithm. In 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. p. 789-794. 6505353 https://doi.org/10.1109/SCIS-ISIS.2012.6505353
Dow, Douglas E. ; Petrilli, Anita M. ; Mantilla, Carlos Bernardo ; Zhan, Wen Zhi ; Sieck, Gary C. / Electromyogram-triggered inspiratory event detection algorithm. 6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012. 2012. pp. 789-794
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