Validation of an ambient measurement system (AMS) for physical activities in a paediatric population

References

• McDonald CM, Henricson EK, Abresch RT, et al. Long-term effects of glucocorticoids on function, quality of life, and survival in patients with Duchenne muscular dystrophy: a prospective cohort study. Lancet. 2018;391:451–461.
   PubMed Web of Science ®Google Scholar
• McDonald CM, Henricson EK, Han JJ, et al. The 6-minute walk test as a new outcome measure in Duchenne muscular dystrophy. Muscle Nerve. 2010;41:500–510.
   PubMed Web of Science ®Google Scholar
• Beenakker EAC, Maurits NM, Fock JM, et al. Functional ability and muscle force in healthy children and ambulant Duchenne muscular dystrophy patients. Eur J Paediatr Neurol. 2005;9:387–393.
   PubMed Web of Science ®Google Scholar
• Mazzone ES, Messina S, Vasco G, et al. Reliability of the North Star Ambulatory Assessment in a multicentric setting. Neuromusc Disord. 2009;19:458–461.
   PubMed Web of Science ®Google Scholar
• Brooke MH, Griggs RC, Mendell JR, et al. Clinical trial in Duchenne dystrophy. I. The design of the protocol. Muscle Nerve. 1981;4:186–197.
   PubMed Web of Science ®Google Scholar
• Mayhew A, Mazzone ES, Eagle M, et al. Development of the performance of the upper limb module for Duchenne muscular dystrophy. Dev Med Child Neurol. 2013;55:1038–1045.
   PubMed Web of Science ®Google Scholar
• Alfano L, Lowes L, Berry K, et al. Role of motivation on performance of the 6-minute walk test in boys with Duchenne muscular dystrophy. Dev Med Child Neurol. 2015;57:57–58.
   Google Scholar
• Servais L, Grelet M, Seferian A, et al. Movement monitoring at home and during study visits identifies sources of variability in 6MWT performance in Duchenne muscular dystrophy. Neuromusc Disord. 2016;26:S152–S153.
   Web of Science ®Google Scholar
• Varsanik JS, Kimmel ZM, Moor C, et al. Validation of an ambient measurement system (AMS) for walking speed. J Med Eng Technol. 2017;41:362–374.
   PubMedGoogle Scholar
• Smith VMJ, Varsanik JS, Walker RA, et al. Movement measurements at home for multiple sclerosis: walking speed measured by a novel ambient measurement system. Mult Scler J Exp Transl Clin. 2018;4:2055217317753465.
   Google Scholar
• Bethoux F, Varsanik JS, Chevalier TW, et al. Walking speed measurement with an Ambient Measurement System (AMS) in patients with multiple sclerosis and walking impairment. Gait Posture. 2018;61:393–397.
   PubMed Web of Science ®Google Scholar
• Bohannon RW, Glenney SS. Minimal clinically important difference for change in comfortable gait speed of adults with pathology: a systematic review. J Eval Clin Pract. 2014;20:295–300.
   PubMed Web of Science ®Google Scholar
• Mazzone ES, Coratti G, Sormani MP, et al. Timed rise from floor as a predictor of disease progression in Duchenne muscular dystrophy: an observational study. PLoS One. 2016;11:e0151445.
   PubMed Web of Science ®Google Scholar
• Connolly AM, Malkus EC, Mendell JR, et al. Outcome reliability in non-ambulatory boys/men with Duchenne muscular dystrophy. Muscle Nerve. 2015;51:522–532.
   PubMed Web of Science ®Google Scholar
• Lowes LP, Alfano LN, Yetter BA, et al. Proof of concept of the ability of the Kinect to quantify upper extremity function in dystrophinopathy. PLOS Currents Muscular Dystrophy. 2013. doi:10.1371/currents.md.9ab5d872bbb944c6035c9f9bfd314ee2.
   Google Scholar
• Han JJ, De Bie E, Nicorici A, et al. Reachable workspace and performance of upper limb (PUL) in Duchenne muscular dystrophy. Muscle Nerve. 2016;53:545–554.
   PubMed Web of Science ®Google Scholar
• Han JJ, Kurillo G, Abresch RT, et al. Upper extremity 3-dimensional reachable workspace analysis in dystrophinopathy using Kinect. Muscle Nerve. 2015;52:344–355.
   PubMed Web of Science ®Google Scholar
• Le Moing A-G, Seferian AM, Moraux A, et al. A movement monitor based on magneto-inertial sensors for non-ambulant patients with Duchenne muscular dystrophy: a pilot study in controlled environment. PLoS One. 2016;11:e0156696.
   PubMed Web of Science ®Google Scholar
• Seferian A, Gargaun E, Grelet M, et al. Longitudinal results of magneto-inertial motion analysis in Duchenne muscular dystrophy ambulant patients. Neuromusc Disord. 2016;26:S184–S185.
   Web of Science ®Google Scholar
• Clark RA, Pua Y-H, Fortin K, et al. Validity of the Microsoft Kinect for assessment of postural control. Gait Posture. 2012;36:372–377.
   PubMed Web of Science ®Google Scholar
• Xu X, McGorry RW, Chou L-S, et al. Accuracy of the Microsoft Kinect™ for measuring gait parameters during treadmill walking. Gait Posture. 2015;42:145–151.
   PubMed Web of Science ®Google Scholar
• Galna B, Barry G, Jackson D, et al. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease. Gait Posture. 2014;39:1062–1068.
   PubMed Web of Science ®Google Scholar
• Fitzmaurice GM, Laird NM, Ware JH. Applied longitudinal analysis. Vol. 998. Hoboken, NJ: John Wiley & Sons; 2012.
   Google Scholar
• Nakagawa S, Schielzeth H. Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists. Biol Rev Cambridge Philos Soc. 2010;85:935–956.
   PubMed Web of Science ®Google Scholar
• Youdas JW, Childs KB, McNeil ML, et al. Responsiveness of 2 procedures for measurement of temporal and spatial gait parameters in older adults. PM&R. 2010;2:537–543.
   Web of Science ®Google Scholar
• Peters DM, Middleton A, Donley JW, et al. Concurrent validity of walking speed values calculated via the GAITRite electronic walkway and 3 meter walk test in the chronic stroke population. Physiother Theory Pract. 2014;30:183–188.
   PubMed Web of Science ®Google Scholar
• Karpman C, LeBrasseur NK, DePew ZS, et al. Measuring gait speed in the outpatient clinic: methodology and feasibility. Respir Care. 2014;59:531–537.
   PubMed Web of Science ®Google Scholar