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Does exhaustion modify acceleration running signature?

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Running acceleration signatures remain consistent at the spine and tibia during exhaustion, but foot sensor data becomes unreliable. This study quantifies running signature variability due to fatigue.

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Amateur runnersaccelerometercoefficient of multiple correlationtreadmillwaveform

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Area of Science:

  • Biomechanics
  • Sports Science
  • Wearable Technology

Background:

  • Acceleration signals offer reliable running signature information.
  • Limited research exists on how exhaustion affects running acceleration signatures.

Purpose of the Study:

  • To investigate the impact of exhaustion on running acceleration signatures.
  • To quantify the variability of acceleration signatures at different body locations (lumbar spine, tibia, foot) during running to exhaustion.

Main Methods:

  • Ten participants ran on a treadmill until exhaustion at a constant speed.
  • Three accelerometers were used to collect data from the lumbar spine, tibia, and foot.
  • The coefficient of multiple correlation (CMC) was employed to assess signature similarities and variability.

Main Results:

  • Running pace remained constant (CV <5%) throughout the tests.
  • Acceleration signatures for the lumbar spine's longitudinal axis and tibia's longitudinal and anteroposterior axes showed minimal change with exhaustion (CMC >0.8).
  • Signatures from other axes and particularly foot sensors were significantly affected by exhaustion, reducing data reliability.

Conclusions:

  • The coefficient of multiple correlation effectively quantifies running signature variability induced by exhaustion.
  • Different body locations and sensor axes exhibit varying susceptibility to exhaustion-induced changes in running signatures.
  • Foot-mounted sensors may be less reliable for extracting consistent running information under fatigue conditions.