Model-based analysis of fatigued human knee extensors

Abstract

This study investigated the effect of isometrically induced fatigue on Hill-type muscle model parameters and related task-dependent effects. Parameter identification methods were used to extract fatigue-related parameter trends from isometric and ballistic dynamic maximum voluntary knee extensions. Nine subjects, who completed ten fatiguing sets, each consisting of nine 3 s isometric maximum voluntary contractions with 3 s rest plus two ballistic contractions with different loads, were analyzed. Only at the isometric task, the identified optimized model parameter values of muscle activation rate and maximum force generating capacity of the contractile element decreased from to Hz and from to N, respectively. For all tasks, the maximum efficiency of the contractile element, mathematically related to the curvature of the force–velocity relation, increased from to . The model parameter maximum contraction velocity decreased from to m/s and the stiffness of the serial elastic element from to N/mm. Thus, models of fatigue should consider fatigue dependencies in active as well as in passive elements, and muscle activation dynamics should account for the task dependency of fatigue.

Ultrasound as a Tool to Study Muscle–Tendon Functions during Locomotion: A Systematic Review of Applications

“…Thus, the activated muscle shortens and aponeuroses, and tendon(s) change in length. Thereby, the net output of an activated MTU depends on the force–velocity relation [48], the force–length relation [49], the muscle–tendon length [50], the contraction mode (e.g., eccentric, concentric, isometric contraction [51]), and contraction history effects (e.g., force enhancement and depression [52], fatigue [53], as well as tendon hysteresis effects [54]). Hence, the interaction of the whole MTU and all its respective components is responsible for the resulting movement, where the storage and release of elastic energy are also key [3,4,5,55].…”

Hill-type models of skeletal muscle and neuromuscular actuators: a systematic review

“…| Loeb G.E., 1991; van Soest & Bobbert, 1993; John et al, 2013); (3) in MSK studies to assess the muscles’ interactions with surrounding structures, such as the muscles’ relative force contribution to joint torques, motion and contact forces (McLean et al, 2003; Shao et al, 2009; Nikooyan et al, 2012; Putra et al, 2015; Bicer et al, 2022), the indeterminacy of the load sharing system (Sarshari et al, 2020; Michaud et al, 2021), or muscle-induced stress development in skeletal bodies (Moody et al, 2009; Phillips et al, 2015; Favier et al, 2021; Favier et al, 2021); (4) in clinical applications in predicting the outcome of surgical procedures (Delp, S. L. et al, 1990; Giat, Yohanan et al, 1994; Tigue et al, 2022) or optimizing rehabilitation (Sartori et al, 2012; Hassani et al, 2014; Ai et al, 2016; Peng et al, 2016), or for the design and control of prosthetics (Manal et al, 2002; Eilenberg et al, 2010; Farina et al, 2017; Niu et al, 2020; Farina et al, 2021); or (5) sports-related applications, like optimizing performances (Edman et al, 1978; Pandy et al, 1990; Anderson & Pandy, 1999) or predicting the effects of muscle fatigue on performance (Giat, Y. et al, 1993; Liu, J. Z. et al, 2002; Callahan et al, 2016; Potvin & Fuglevand, 2017; Penasso & Thaller, 2018; Sharma et al, Jan 01, 2009).…”