Objective assessment of motor fatigue in multiple sclerosis: the Fatigue index Kliniken Schmieder (FKS)
- 546 Downloads
Fatigue is a common and frequently disabling symptom of multiple sclerosis (MS). The aim of this study was to develop the Fatigue index Kliniken Schmieder (FKS) for detecting motor fatigue in patients with MS using kinematic gait analysis. The FKS relies on the chaos theoretical term “attractor”, which, if unchanged, is a necessary and sufficient indicator of a stable dynamical system. We measured the acceleration of the feet at the beginning of and shortly before stopping a treadmill walking task in 20 healthy subjects and 40 patients with multiple sclerosis. The attractor and movement variability were calculated. In the absence of muscular exhaustion a significant difference in the attractor and movement variability between the two time points demonstrates altered motor control indicating fatigue. Subjects were classified using the FKS. All healthy subjects had normal FKS and thus no fatigue. 29 patients with MS were classified into a fatigue group and 11 patients into a non-fatigue group. This classification agreed with the physician’s observation and video analyses in up to 97 % of cases. The FKS did not correlate significantly with the overall and motor dimensions of the fatigue questionnaire scores in patients with MS and motor fatigue. The common concept of fatigue as overall subjective sensation of exhaustion can be affected by conditions including depression, sleep disorder and others. FKS constitutes a robust and objective measure of changes in motor performance. Therefore, the FKS allows correct identification of motor fatigue even in cases where common comorbidities mask motor fatigue.
KeywordsFatigue Gait analysis Fatigue index Physical performance Lactate level Heart rate
The study was supported by the Lurija Institute, Kliniken Schmieder, Germany.
Conflicts of interest
The authors declare no conflicts of interest with respect to the authorship and/or publication of this article.
The study was approved by the local ethics committee and conducted in accordance with the Declaration of Helsinki. All participants provided written informed consent prior to their participation.
- 12.Guidelines MSCfCP (1998) Fatigue and multiple sclerosis. Paralyzed Veterans Association, Washington, DCGoogle Scholar
- 16.Harris GF, Smith PA (1996) Human motion analysis: current applications and future directions. Institute of Electrical and Electronics Engineers Press, New YorkGoogle Scholar
- 23.Vieten MM (2004) Triple F (F 3) Filtering of kinematic data. In: Proceeding: 22 International Symposium on Biomechanics in Sports, pp 446–449Google Scholar
- 26.Hautzinger M, Keller F, Kühner C (2008) Beck depressions-inventar (BDI-II), revision. Reportpsychologie 6:301–302Google Scholar
- 28.Paul L, Enright MD (2003) The six-minute walk test. Respir Care 48:783–785Google Scholar