Medical & Biological Engineering & Computing

, Volume 53, Issue 1, pp 57–66 | Cite as

Feasibility of monitoring muscle health in microgravity environments using Myoton technology

  • Stefan Schneider
  • Aleko Peipsi
  • Maria Stokes
  • Axel Knicker
  • Vera Abeln
Original Article

Abstract

Physical exercise is important for people living under extreme environmental conditions to stay healthy. Particularly in space, exercise can partially counteract the loss of muscle mass and muscle strength caused by microgravity. Monitoring the adaptation of the musculoskeletal system to assess muscle quality and devise individual training programmes is highly desirable but is restricted by practical, technical and time constraints on board the International Space Station. This study aimed to test the feasibility of using myometric measurements to monitor the mechanical properties of skeletal muscles and tendons in weightlessness during parabolic flights. The mechanical properties (frequency, decrement, stiffness relaxation time and creep) of the m. gastrocnemius, m. erector spinae and Achilles tendon were assessed using the hand-held MyotonPRO device in 11 healthy participants (aged 47 ± 9 years) in normal gravity as well as in microgravity during two parabolic flight campaigns. Results showed significant (p < .05–.001) changes in all mechanical properties of both muscles and the Achilles tendon, indicating a more relaxed tissue state in microgravity. Recordings from a phantom rubber material with the device in a test rig confirmed that the device itself was not affected by gravity, as changes between gravity conditions that were too small (<1 %) to explain the changes observed in the tissues. It is concluded that myometric measurements are a feasible, easy-to-use and non-invasive approach to monitor muscle health in extreme conditions that prohibit many other methods. Real-time assessment of the quality of a muscle being exposed to the negative effect of microgravity and also the positive effects of muscular training could be achieved using Myoton technology.

Keywords

Parabolic flight Muscle Myoton measurements Myoton technology Myometry Microgravity 

References

  1. 1.
    Agyapong-Badu S, Aird L, Bailey L, Mooney K, Mullix J, Warner M, Samuel D, Stokes M (2013) Interrater reliability of muscle tone, stiffness and elasticity measurements of rectus femoris and biceps brachii in healthy young and older males. Work Pap Health Sci 1(4):1–11Google Scholar
  2. 2.
    Aird L, Samuel D, Stokes M (2012) Quadriceps muscle tone, elasticity and stiffness in older males: reliability and symmetry using the MyotonPRO. Arch Gerontol Geriatr 55(2):e31–e39PubMedCrossRefGoogle Scholar
  3. 3.
    Alibiglou L, Rymer WZ, Harvey RL, Mirbagheri MM (2008) The relation between Ashworth scores and neuromechanical measurements of spasticity following stroke. J Neuroeng Rehabil 5:18PubMedCentralPubMedCrossRefGoogle Scholar
  4. 4.
    Bizzini M, Mannion AF (2003) Reliability of a new, hand-held device for assessing skeletal muscle stiffness. Clin Biomech 18(5):459–461CrossRefGoogle Scholar
  5. 5.
    Brashear A, Zafonte R, Corcoran M, Galvez-Jimenez N, Gracies JM, Gordon MF, McAfee A, Ruffing K, Thompson B, Williams M, Lee CH, Turkel C (2002) Inter- and intrarater reliability of the Ashworth Scale and the Disability Assessment Scale in patients with upper-limb poststroke spasticity. Arch Phys Med Rehabil 83(10):1349–1354PubMedCrossRefGoogle Scholar
  6. 6.
    Chuang LL, Lin KC, Wu CY, Chang CW, Chen HC, Yin HP, Wang L (2013) Relative and absolute reliabilities of the myotonometric measurements of hemiparetic arms in patients with stroke. Arch Phys Med Rehabil 94(3):459–466PubMedCrossRefGoogle Scholar
  7. 7.
    Dahmane R, Valeni V, Knez N, Eren I (2001), Evaluation of the ability to make non-invasive estimation of muscle contractile properties on the basis of the muscle belly response. Med Biol Eng Comput 39(1):51–55PubMedCrossRefGoogle Scholar
  8. 8.
    Ditroilo M, Hunter AM, Haslam S, De Vito G (2011) The effectiveness of two novel techniques in establishing the mechanical and contractile responses of biceps femoris. Physiol Meas 32(8):1315–1326PubMedCrossRefGoogle Scholar
  9. 9.
    Gopalakrishnan R, Genc KO, Rice AJ, Lee SM, Evans HJ, Maender CC, Ilaslan H, Cavanagh PR (2010) Muscle volume, strength, endurance, and exercise loads during 6-month missions in space. Aviat Space Environ Med 81(2):91–102PubMedCrossRefGoogle Scholar
  10. 10.
    Korhonen RK, Vain A, Vanninen E, Viir R, Jurvelin JS (2005) Can mechanical myotonometry or electromyography be used for the prediction of intramuscular pressure? Physiol Meas 26(6):951–963PubMedCrossRefGoogle Scholar
  11. 11.
    Liu J, Verheyden B, Beckers F, Aubert AE (2012) Haemodynamic adaptation during sudden gravity transitions. Eur J Appl Physiol 112(1):79–89. doi:10.1007/s00421-011-1956-6
  12. 12.
    Marusiak J, Jaskolska A, Budrewicz S, Koszewicz M, Jaskolski A (2011) Increased muscle belly and tendon stiffness in patients with Parkinson’s disease, as measured by myotonometry. Mov Disord 26(11):2119–2122PubMedCrossRefGoogle Scholar
  13. 13.
    Marusiak J, Jaskolska A, Budrewicz S, Koszewicz M, Jaskolski A (2011) Increased muscle belly and tendon stiffness in patients with Parkinson’s disease, as measured by myotonometry. Mov Disord 26(11):2119–2122PubMedCrossRefGoogle Scholar
  14. 14.
    Marusiak J, Jaskolska A, Koszewicz M, Budrewicz S, Jaskolski A (2012) Myometry revealed medication-induced decrease in resting skeletal muscle stiffness in Parkinson’s disease patients. Clin Biomech (Bristol, Avon) 27(6):632–635CrossRefGoogle Scholar
  15. 15.
    Mullix J, Warner M, Stokes M (2012) Testing muscle tone and mechanical properties of rectus femoris and biceps femoris using a novel hand held MyotonPRO device: relative ratios and reliability. Work Pap Health Sci 1(1):1–8Google Scholar
  16. 16.
    Pandyan AD, Johnson GR, Price CI, Curless RH, Barnes MP, Rodgers H (1999) A review of the properties and limitations of the Ashworth and modified Ashworth Scales as measures of spasticity. Clin Rehabil 13(5):373–383PubMedCrossRefGoogle Scholar
  17. 17.
    Peters A, Chase JG, Van Houten EE (2008) Digital image elasto-tomography: mechanical property estimation of silicone phantoms. Med Biol Eng Comput 46(3):205–212PubMedCrossRefGoogle Scholar
  18. 18.
    Peters A, Chase JG, Van Houten EE (2009) Estimating elasticity in heterogeneous phantoms using digital image elasto-tomography. Med Biol Eng Comput 47(1):67–76PubMedCrossRefGoogle Scholar
  19. 19.
    Ratsep T, Asser T (2011) Changes in viscoelastic properties of skeletal muscles induced by subthalamic stimulation in patients with Parkinson’s disease. Clin Biomech 26(2):213–217CrossRefGoogle Scholar
  20. 20.
    Ratsep T, Asser T (2011) Changes in viscoelastic properties of skeletal muscles induced by subthalamic stimulation in patients with Parkinson’s disease. Clin Biomech (Bristol, Avon) 26(2):213–217CrossRefGoogle Scholar
  21. 21.
    Roja Z, Kalkis V, Vain A, Kalkis H, Eglite M (2006) Assessment of skeletal muscle fatigue of road maintenance workers based on heart rate monitoring and myotonometry. J Occup Med Toxicol 1:20PubMedCentralPubMedCrossRefGoogle Scholar
  22. 22.
    Rydahl SJ, Brouwer BJ (2004) Ankle stiffness and tissue compliance in stroke survivors: a validation of Myotonometer measurements. Arch Phys Med Rehabil 85(10):1631–1637PubMedCrossRefGoogle Scholar
  23. 23.
    Schneider S, Brummer V, Carnahan H, Kleinert J, Piacentini MF, Meeusen R, Struder HK (2010) Exercise as a countermeasure to psycho-physiological deconditioning during long-term confinement. Behav Brain Res 211(2):208–214PubMedCrossRefGoogle Scholar
  24. 24.
    Schneider S, Kleinert J, Steinbacher A, Brümmer V, Strüder HK (2009) The effect of parabolic flight on perceived physical, motivational and psychological state in men and women: correlation with neuroendocrine stress parameters and electrocortical activity. Stress 12(4):336–349. doi:10.1080/10253890802499175
  25. 25.
    Vain A, Kums T (2002) Criteria for preventing overtraining of the musculoskeletal system of gymnasts. Biol Sport 19(4):1–17Google Scholar
  26. 26.
    Willmann M, Langlet C, Hainaut JP, Bolmont B (2012) The time course of autonomic parameters and muscle tension during recovery following a moderate cognitive stressor: dependency on trait anxiety level. Int J Psychophysiol 84(1):51–58PubMedCrossRefGoogle Scholar

Copyright information

© International Federation for Medical and Biological Engineering 2014

Authors and Affiliations

  • Stefan Schneider
    • 1
    • 2
  • Aleko Peipsi
    • 3
  • Maria Stokes
    • 4
    • 5
  • Axel Knicker
    • 1
  • Vera Abeln
    • 1
  1. 1.Institute of Movement and NeurosciencesGerman Sport University CologneCologneGermany
  2. 2.Faculty of Science, Health, Education and EngineeringUniversity of the Sunshine CoastMaroochydoreAustralia
  3. 3.Myoton ASTallinnEstonia
  4. 4.Faculty of Health SciencesUniversity of SouthamptonSouthamptonUK
  5. 5.Arthritis Research UK Centre for Sport, Exercise and OsteoarthritisReadingUK

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