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Differences in Contraction-Induced Hemodynamics and Surface EMG in Duchenne Muscular Dystrophy

  • Eva Van Ginderdeuren
  • Alexander CaicedoEmail author
  • Joachim Taelmans
  • Nathalie Goemans
  • Marlen van den Hauwe
  • Gunnar Naulaers
  • Sabine Van Huffel
  • Gunnar Buyse
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 876)

Abstract

Duchenne muscular dystrophy (DMD) is the most common and devastating type of muscular dystrophy worldwide. In this study we have investigated the potential of the combined use of non-invasive near-infrared spectroscopy (NIRS) and surface electromyography (sEMG) to assess contraction-induced changes in oxygenation and myoelectrical activity, respectively in the biceps brachii of eight DMD patients aged 9–12 years and 11 age-matched healthy controls. Muscle tissue oxygenation index (TOI), oxyhemoglobin (HbO2), and sEMG signals were continuously measured during a sustained submaximal contraction of 60 % maximal voluntary isometric contraction, and post-exercise recovery period. Compared to controls, DMD subjects showed significantly smaller changes in TOI during the contraction. In addition, during the reoxygenation phase some dynamic parameters extracted from the HbO2 measurements were significantly different between the two groups, some of which were correlated with functional performances on a 6-min walking test. In conclusion, non-invasive continuous monitoring of skeletal muscle oxygenation by NIRS is feasible in young children, and significant differences in contraction-induced deoxygenation and reoxygenation patterns were observed between healthy controls and DMD children.

Keywords

NIRS sEMG Duchenne muscular dystrophy Oxygenation 

Notes

Acknowledgments

Research supported by a postdoctoral mandate of the Research Foundation Flanders (FWO); Research Council KUL: GOA MaNet, CoE PFV/10/002 (OPTEC). Flemish Government: FWO: travel grant. Belgian Federal Science Policy Office: IUAP P719/(DYSCO), ‘Dynamical systems, control and optimization’, 2012–2017. Belgian Federal Science Policy Office: IUAP P7/19 DYSCO. EU HIP Trial FP7-HEALTH/2007–2013 (n° 260777).

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Copyright information

© Springer Science+Business Media, New York 2016

Authors and Affiliations

  • Eva Van Ginderdeuren
    • 1
  • Alexander Caicedo
    • 2
    • 3
    Email author
  • Joachim Taelmans
    • 2
    • 3
  • Nathalie Goemans
    • 1
  • Marlen van den Hauwe
    • 1
  • Gunnar Naulaers
    • 4
  • Sabine Van Huffel
    • 2
    • 3
  • Gunnar Buyse
    • 1
  1. 1.Department of Child NeurologyUniversity Hospitals LeuvenLeuvenBelgium
  2. 2.Department of Electrical Engineering (ESAT)STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics, KU LeuvenLeuvenBelgium
  3. 3.iMinds Medical ITLeuvenBelgium
  4. 4.Department of NeonatologyUniversity Hospitals LeuvenLeuvenBelgium

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