Lower extremity muscle fatigue influences nonlinear variability in trunk accelerations

Rahul Soangra, Seong Moon, Saba Rezvanian, Thurmon Lockhart

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

Abstract

Lower extremity fatigue has been associated with decline in postural stability, alteration of normal walking patterns and increased fall risk. Effects of lower extremity fatigue on amount of movement variability as assessed by linear variability such as standard deviation and root mean square is well known but there is lack of information about how fatigue influences nonlinear temporal structure of variability in healthy human gait. In this study ten subjects (5 males and 5 females) were asked to perform treadmill walking for three minutes with an Inertial Measurement Unit (IMU) sensor affixed at their trunk level, thereafter the participants conducted squatting exercises and fatigue was induced as per standard fatigue protocol. The participants were asked to walk again on treadmill at their preferred walking speed for three minutes. The signals derived from the inertial sensor were used to compute stride interval time series (SIT) and signal magnitude difference (SMD) time series signals. These SIT and SMD signals were analyzed for non-linear variability such as complexity (approximate entropy and multiscale entropy) and Detrended Fluctuation Analysis (DFA). It was found that that there was significantly higher complexity in SMD signals due to fatigue inducement (p=0.04). Similarly, it was also found that fatigue significantly decreased fractal properties of SMD signals (p=0.013). In conclusion, lower extremity localized muscle fatigue influences magnitude of kinematic variability and induced anti-persistence in the trunk kinematics. In future, more work is needed to understand how kinematic variability in angular velocities due to fatigue may affect fall risk in healthy adults.

Original languageEnglish (US)
Title of host publication54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
PublisherInternational Society of Automation (ISA)
Volume2017-March
ISBN (Electronic)9781945541193
StatePublished - Jan 1 2017
Event54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 - Denver, United States
Duration: Mar 31 2017Apr 1 2017

Other

Other54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017
CountryUnited States
CityDenver
Period3/31/174/1/17

Keywords

  • Complexity
  • Inertial sensors
  • Lower extremity fatigue

ASJC Scopus subject areas

  • Bioengineering
  • Instrumentation
  • Biotechnology
  • Biomedical Engineering

Fingerprint Dive into the research topics of 'Lower extremity muscle fatigue influences nonlinear variability in trunk accelerations'. Together they form a unique fingerprint.

  • Cite this

    Soangra, R., Moon, S., Rezvanian, S., & Lockhart, T. (2017). Lower extremity muscle fatigue influences nonlinear variability in trunk accelerations. In 54th Annual Rocky Mountain Bioengineering Symposium, RMBS 2017 and 54th International ISA Biomedical Sciences Instrumentation Symposium 2017 (Vol. 2017-March). International Society of Automation (ISA).