An Electromyographic Assessment of the Anti-G Straining Maneuver

Hsiang H. Chen, Yi Chang Wu, Ming D. Kuo

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Background: The anti-G straining maneuver (AGSM), used by aircrew to enhance their +Gz tolerance and to reduce the potential risk of G-induced loss of consciousness, has been recognized as an effective technique. The purpose of this study was to establish an objective tool to evaluate the effectiveness of an aircrew member's AGSM. Methods: There were 20 healthy subjects who participated in the study, including 8 senior aviation physiological trainers and 12 trainees. The former were familiar with the anti-G maneuver and had experienced high +Gz exposure, the latter had never been exposed to any high +Gz stress before the study. The analytic method of electromyography (EMG) was used to investigate the physical characteristics of the L-1 AGSM. Results: Comparison of the EMG data from the two groups indicated that the mean duration of a breathing cycle of the trainer group was significantly longer than that of the trainee group (p <0.001). The buccinator was the muscle that had the most rapid firing rate in both groups (p <0.001). The trainer group had a significantly faster firing rate of the buccinator than the trainee group (p = 0.03). In addition, the trainee group performed the AGSM with a firing sequence of muscles that was different from that of the trainer group. Conclusions: An automated and quantitative system based on EMG can be used during AGSM training to augment or replace the current subjective evaluation of the trainee's performance.

Original languageEnglish
Pages (from-to)162-167
Number of pages6
JournalAviation Space and Environmental Medicine
Volume75
Issue number2
Publication statusPublished - Feb 2004
Externally publishedYes

Keywords

  • +Gz tolerance
  • Acceleration
  • G-LOC
  • Muscle activity

ASJC Scopus subject areas

  • Pollution
  • Medicine(all)
  • Public Health, Environmental and Occupational Health

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