DOI QR코드

DOI QR Code

Analysis on Electromyogram(EMG) Signals by Body Parts for G-induced Loss of Consciousness(G-LOC) Prediction

G-induced Loss of Consciousness(G-LOC) 예측을 위한 신체 부위별 Electromyogram(EMG) 신호 분석

  • Kim, Sungho (Department of Systems Engineering, Air Force Academy) ;
  • Kim, Dongsoo (Department of Basic Science, Air Force Academy) ;
  • Cho, Taehwan (Department of Electronics and Communications Engineering, Air Force Academy) ;
  • Lee, Yongkyun (Department of Basic Science, Air Force Academy) ;
  • Choi, Booyong (Department of Basic Science, Air Force Academy)
  • 김성호 (공군사관학교 시스템공학과) ;
  • 김동수 (공군사관학교 기초과학과) ;
  • 조태환 (공군사관학교 전자통신공학과) ;
  • 이용균 (공군사관학교 기초과학과) ;
  • 최부용 (공군사관학교 기초과학과)
  • Received : 2016.08.05
  • Accepted : 2017.01.20
  • Published : 2017.02.05

Abstract

G-induced Loss of Consciousness(G-LOC) can be predicted by measuring Electromyogram(EMG) signals. Existing studies have mainly focused on specific body parts and lacked of consideration with quantitative EMG indices. The purpose of this study is to analyze the indices of EMG signals by human body parts for monitoring G-LOC condition. The data of seven EMG features such as Root Mean Square(RMS), Integrated Absolute Value(IAV), and Mean Absolute Value(MAV) for reflecting muscle contraction and Slope Sign Changes(SSC), Waveform Length (WL), Zero Crossing(ZC), and Median Frequency(MF) for representing muscle contraction and fatigue was retrieved from high G-training on a human centrifuge simulator. A total of 19 trainees out of 47 trainees of the Korean Air Force fell into G-LOC condition during the training in attaching EMG sensor to three body parts(neck, abdomen, calf). IAV, MAV, WL, and ZC under condition after G-LOC were decreased by 17 %, 17 %, 18 %, and 4 % comparing to those under condition before G-LOC respectively. Also, RMS, IAV, MAV, and WL in neck part under condition after G-LOC were higher than those under condition before G-LOC; while, those in abdomen and calf part lower. This study suggest that measurement of IAV and WL by attaching EMG sensor to calf part may be optimal for predicting G-LOC.

Keywords

References

  1. B. Choi, D. Kim and M. Kim, "Effectiveness of EMG in Development of G-induced Loss of Consciousness(G-LOC) Warning System," In Proceedings of the International Conference on Biomedical Engineering and Systems, No. 129, pp. 1-4, 2014.
  2. Jeffrey R. Davis, Robert Johnson, Jan Stepanek and Jannifer A. Fogarty, "Fundamentals of Aerospace Medicine," Lippincott Williams & Wilkins, 2008.
  3. A. Lance, O. Robert, B. Ulf, I. Wayne and W. Paul, "Evaluation of the Joint Service Mustang Anti-G Suit," AFRL-HE-BR-TR-2005-0081, 2005.
  4. C. Lee and S. Park, "The Effects of High Sustained +Gz under Different Seat Back Angles," J. of the Ergonomics Society of Korea, Vol. 15, No. 1, pp. 69-78, 1996.
  5. Y. Kim, "G-induced Loss of Consciousness," Korean J. of Aerospace and Environmental Medicine, Vol. 2, No. 1, pp. 82-91, 1992.
  6. C. Kim, B. Hwang, I. Kang, S. Jang, K. Kim and M. Park, "Development of Gravity-Induced Loss of Consciousness(GLOC) Monitoring System and Automatic Recovery System," J. of Institute of Control, Robotics and Systems, Vol. 17, No. 7, pp. 704-713, 2011. https://doi.org/10.5302/J.ICROS.2011.17.7.704
  7. Y. Wu, H. Sun, J. Cammarota and L. Hrebien, "Wavelet Decomposition Method on EEG Analysis of G-LOC Phenomena," In Proceedings of the 19th Annual International Conference of the IEEE, 1997.
  8. S. Park, D. Shin, H. Park, Y. Lee, D. Shin and K. Park, "Diagnostic Approach with Quantitative Analysis of Polysomnography in REM Sleep Behavior Disorder," J. Korean Sleep Research Society, Vol. 9, pp. 46-51, 2012. https://doi.org/10.13078/jksrs.12010
  9. Y. Shin, S. Kim, S. Ok and S. Kim, "The Influence of a Muschle Relaxant on Bispectral Index During the Propofol Induction of Anesthesia," Korean J. of Anesthesiol, Vol. 54, No. 4, pp. 373-377, 2008. https://doi.org/10.4097/kjae.2008.54.4.373
  10. B. Bigland and O. Lippold, "The Relation between Force, Velocity and Integrated Electrical Activity in Human Muscles," J. of Physiol, Vol. 123, No. 1, pp. 214-224, 1954. https://doi.org/10.1113/jphysiol.1954.sp005044
  11. HH. Chen, YC. Wu and MD. Kuo, "An Electromyographic Assessment of the Anti-G Straining Maneuver," Aviation, Space and Environmental Medicine, Vol. 75, No. 2, pp. 162-167, 2004.
  12. K. Netto and A. Burnett, "Neck Muscle Activation and Head Postures in Common High Performance Aerial Combat Maneuvers," Aviation, Space and Environmental Medicine, Vol. 77, No. 10, pp. 1049 -1055, 2006.
  13. J. Lim, J. Seo and K. Chung, "The changes on EMG Before & After G-Loc," J. of Korean Military Medical Association, Vol. 40, No. 1, pp. 66-76, 2009.
  14. Rangarj M. Rangayyan, "Biomedical Signal Analysis, A Case-Study Approach," WILEY INTER-SCIENCE, 2002.
  15. R. Merletti, L. Lo Conte, E. Avignone and P. Guglielminotti, "Modeling of Surface Myoelectric Signals-Part I : Modeling Implementation," IEEE Trans. Biomed. Eng., Vol. 46, No. 7, pp. 810-820, 1999a. https://doi.org/10.1109/10.771190
  16. R. Merletti, S. H. Roy, E. Kupa, S. Roatta and A. Granata, "Modeling of Surface Myoelectric Signals-Part II: Modeling-based Signal Interpretation," IEEE Trans. Biomed. Eng., Vol. 46, No. 7, pp. 821-820, 1999b. https://doi.org/10.1109/10.771191
  17. S. Oliverira and M. Concalves, "EMG Amplitude and Frequency Parameters of Muscular Activity : Effect of Resistance Training based on Electromyographic Fatigue Threshold," J. Electromyogr Kinesiol, Vol. 19, No. 2, pp. 295-303, 2009. https://doi.org/10.1016/j.jelekin.2007.07.008
  18. M. Cornawall and L. Krock, "Electromygraphic Acitivity While Performing the Anti-G Straining Maneuver During High Sustained Acceleration," Aviation, Space and Environmental Medicine, Vol. 63, No. 11, pp. 971-975, 1992.
  19. B. Bain, I. Jacobs and F. Buick, "Electromyographic Indices of Muscle Fatigue During Simulated Air Combat Maneuvering," Aviation, Space and Environmental Medicine, Vol. 65, No. 3, pp. 193-198, 1994.