EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 32 (Novembre 2016) Hors série n°2 Med Sci (Paris), 32 (2016) 22-26 References
Free Access
Issue
Med Sci (Paris)
Volume 32, Novembre 2016
Les cahiers de myologie
Page(s) 22 - 26
Section Prise en charge
DOI https://doi.org/10.1051/medsci/201632s207
Published online 21 November 2016
  1. Hellpap A. Rare disease apps need a boost: Innovenn [updated 21/01/2015. Available from: http://innovenn.com/rare-disease-apps-need-a-boost/ [Google Scholar]
  2. Sawnani H, Thampratankul L, Szczesniak RD, et al. Sleep disordered breathing in young boys with Duchenne muscular dystrophy. J Pediatr 2015 ; 166 : 640–645e1. [CrossRef] [PubMed] [Google Scholar]
  3. Urtizberea JA. Zoom sur… le diagnostic dans la dystrophie musculaire de Duchenne. In: Savoir et Comprendre. Évry : AFM-Téléthon, 2009. [Google Scholar]
  4. Gaglani SM, Topol EJ. iMedEd: the role of mobile health technologies in medical education. Acad Med 2014 ; 89 : 1207–1209. [CrossRef] [Google Scholar]
  5. Seferian AM, Moraux A, Canal A, et al. Upper limb evaluation and one-year follow up of non-ambulant patients with spinal muscular atrophy: an observational multicenter trial. PLoS One 2015 ; 10 : e0121799. [CrossRef] [PubMed] [Google Scholar]
  6. Hogrel JY, Wary C, Moraux A, et al. Longitudinal functional and NMR assessment of upper limbs in Duchenne muscular dystrophy. Neurology 2016 ; 86 : 1022–1030. [CrossRef] [PubMed] [Google Scholar]
  7. Hewson DJ, Li K, Frerejean A, et al. Domo-Grip: functional evaluation and rehabilitation using grip force. Conf Proc IEEE Eng Med Biol Soc 2010 ; 2010 : 1308–1311. [PubMed] [Google Scholar]
  8. Hogrel JY, Li K, Duchêne J, Hewson D. L’utilisation de la force de préhension palmaire pour le maintien en autonomie des personnes âgées. Institut de Myologie, GH Pitié-Salpêtrière, 75651 Paris Cedex 13. Institut Charles Delaunay, FRE CNRS 2848, Université de technologie de Troyes, 12 rue Marie Curie, BP 2060, 10010 Troyes Cedex. 2009. Available from: http://www.silvereco.fr/wp-content/sftag/Hogrel.pdf [Google Scholar]
  9. Apple ResearchKit: Apple. Available from: https://www.apple.com/researchkit/ [Google Scholar]
  10. Smule. Magic Piano: Apple. Updated 23/06/2015. Available from: https://itunes.apple.com/fr/app/magic-piano/id421254504?mt=8 [Google Scholar]
  11. Myologie Id. Synthèse d’activités 2013. Institut de Myologie. Available from: http://www.afm-telethon.fr/sites/default/files/ra-idm_bd1.pdf [Google Scholar]
  12. Le Moing AG, Moraux A, Dorvaux N, et al. TP9: development of a cloud computing for Holter movement analysis in neuromuscular diseases. Neuromuscul Disord 2014 ; 24 : 862–863. [CrossRef] [Google Scholar]
  13. 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. [CrossRef] [PubMed] [Google Scholar]
  14. Capela NA, Lemaire ED, Baddour NC. A smartphone approach for the 2 and 6-minute walk test. Conf Proc IEEE Eng Med Biol Soc 2014 ; 2014 : 958–961. [PubMed] [Google Scholar]
  15. Capela NA, Lemaire ED, Baddour N. Novel algorithm for a smartphone-based 6- minute walk test application: algorithm, application development, and evaluation. J Neuroeng Rehabil 2015 ; 12 : 19. [CrossRef] [PubMed] [Google Scholar]
  16. Lerario A, Bonfiglio S, Sormani M, et al. Quantitative muscle strength assessment in duchenne muscular dystrophy: longitudinal study and correlation with functional measures. BMC Neurol 2012 ; 12 : 91. [CrossRef] [PubMed] [Google Scholar]
  17. Hukuda ME, Escorcio R, Fernandes LA, et al. Evaluation scale development, reliability for sitting and standing from the chair for Duchenne muscular dystrophy. J Mot Behav 2013 ; 45 : 117–126. [CrossRef] [PubMed] [Google Scholar]
  18. Ferriero G, Vercelli S, Sartorio F, et al. Reliability of a smartphone-based goniometer for knee joint goniometry. Int J Rehabil Res 2013 ; 36 : 146–151. [CrossRef] [PubMed] [Google Scholar]
  19. Mourcou Q, Fleury A, Diot B, et al. Mobile phone-based joint angle measurement for functional assessment and rehabilitation of proprioception. BioMed Research International 2015 ; article ID 328142 : 16 p. [Google Scholar]
  20. Jones A, Sealey R, Crowe M, Gordon S. Concurrent validity and reliability of the simple goniometer iPhone app compared with the universal goniometer. Physiother Theory Pract 2014 ; 30 : 512–516. [CrossRef] [PubMed] [Google Scholar]
  21. Bushby K, Finkel R, Birnkrant DJ, et al. Diagnosis and management of Duchenne muscular dystrophy, part 1: diagnosis, and pharmacological and psychosocial management. Lancet Neurol 2010 ; 9 : 77–93. [CrossRef] [PubMed] [Google Scholar]
  22. Nozoe KT, Moreira GA, Tolino JR, et al. The sleep characteristics in symptomatic patients with Duchenne muscular dystrophy. Sleep Breath 2015 ; 19 : 1051–1056. [CrossRef] [PubMed] [Google Scholar]
  23. Topol EJ. Transforming medicine via digital innovation. Sci Transl Med 2010 ; 2 : 16cm4. [PubMed] [Google Scholar]
  24. Muhlestein JB, Le V, Albert D, et al. Smartphone ECG for evaluation of STEMI: results of the ST LEUIS Pilot Study. J Electrocardiol 2015 ; 48 : 249–259. [CrossRef] [PubMed] [Google Scholar]
  25. Ferdman DJ, Liberman L, Silver ES. A smartphone application to diagnose the mechanism of pediatric supraventricular tachycardia. Pediatr Cardiol 2015 ; 36 : 1452–1457. [CrossRef] [PubMed] [Google Scholar]
  26. Steinhubl SR, Muse ED, Topol EJ. Can mobile health technologies transform health care?. JAMA 2013 ; 310 : 2395–2396. [CrossRef] [PubMed] [Google Scholar]
  27. Bishop TF, Press MJ, Mendelsohn JL, Casalino LP. Electronic communication improves access, but barriers to its widespread adoption remain. Health Aff (Millwood) 2013 ; 32 : 1361–1367. [CrossRef] [PubMed] [Google Scholar]
  28. Redelmeier DA, Detsky AS. Pitfalls with smartphones in medicine. J Gen Intern Med 2013 ; 28 : 1260–1263. [CrossRef] [PubMed] [Google Scholar]
  29. Conseil national de l’Ordre des médecins. Santé connectée. De la e-santé à la santé connectée. Le Livre Blanc du Conseil national de l’Ordre des médecins, janvier 2015. [Google Scholar]
  30. Servais L, Deconinck N, Moraux A, et al. Innovative methods to assess upper limb strength and function in non-ambulant Duchenne patients. Neuromuscul Disord 2013 ; 23 : 139–148. [CrossRef] [PubMed] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.