1. Busis N. Mobile phones to improve the practice of neurology. Neurol Clin. 2010. 28:395–410.
2. Nam HS, Cha MJ, Kim YD, Kim EH, Park E, Lee HS, Nam CM, Heo JH. Use of a handheld, computerized device as a decision support tool for stroke classification. Eur J Neurol. 2012. 19:426–430.
3. Shin S, Park E, Lee DH, Lee KJ, Heo JH, Nam HS. An objective pronator drift test application (iPronator) using handheld device. PLoS One. 2012. 7:e41544.
4. Demaerschalk BM, Miley ML, Kiernan TE, Bobrow BJ, Corday DA, Wellik KE, Aguilar MI, Ingall TJ, Dodick DW, Brazdys K, Koch TC, Ward MP, Richemont PC, Coinvestigators S. Stroke telemedicine. Mayo Clin Proc. 2009. 84:53–64.
5. Demaerschalk BM, Vargas JE, Channer DD, Noble BN, Kiernan TE, Gleason EA, Vargas BB, Ingall TJ, Aguilar MI, Dodick DW, Bobrow BJ. Smartphone teleradiology application is successfully incorporated into a telestroke network environment. Stroke. 2012. 43:3098–3101.
6. Takao H, Murayama Y, Ishibashi T, Karagiozov KL, Abe T. A new support system using a mobile device (smartphone) for diagnostic image display and treatment of stroke. Stroke. 2012. 43:236–239.
8. Gonzalez MA, Hanna N, Rodrigo ME, Satler LF, Waksman R. Reliability of prehospital real-time cellular video phone in assessing the simplified National Institutes Of Health Stroke Scale in patients with acute stroke: a novel telemedicine technology. Stroke. 2011. 42:1522–1527.
9. Lee BC, Kim J, Chen S, Sienko KH. Cell phone based balance trainer. J Neuroeng Rehabil. 2012. 9:10.
10. Lee MH, Kim J, Jee SH, Yoo SK. Integrated solution for physical activity monitoring based on mobile phone and PC. Healthc Inform Res. 2011. 17:76–86.
11. Lang CE, Macdonald JR, Reisman DS, Boyd L, Jacobson Kimberley T, Schindler-Ivens SM, Hornby TG, Ross SA, Scheets PL. Observation of amounts of movement practice provided during stroke rehabilitation. Arch Phys Med Rehabil. 2009. 90:1692–1698.
12. Oujamaa L, Relave I, Froger J, Mottet D, Pelissier JY. Rehabilitation of arm function after stroke. Literature review. Ann Phys Rehabil Med. 2009. 52:269–293.
13. Hsieh YW, Wu CY, Lin KC, Yao G, Wu KY, Chang YJ. Dose-response relationship of robot-assisted stroke motor rehabilitation: the impact of initial motor status. Stroke. 2012. 43:2729–2734.
14. Mellone S, Tacconi C, Chiari L. Validity of a smartphonebased instrumented timed up and go. Gait Posture. 2012. 36:163–165.
15. Yamada M, Aoyama T, Mori S, Nishiguchi S, Okamoto K, Ito T, Muto S, Ishihara T, Yoshitomi H, Ito H. Objective assessment of abnormal gait in patients with rheumatoid arthritis using a smartphone. Rheumatol Int. 2012. 32:3869–3874.
16. Nishiguchi S, Yamada M, Nagai K, Mori S, Kajiwara Y, Sonoda T, Yoshimura K, Yoshitomi H, Ito H, Okamoto K, Ito T, Muto S, Ishihara T, Aoyama T. Reliability and validity of gait analysis by android-based smartphone. Telemed J E Health. 2012. 18:292–296.
17. Izatt MTM, Bateman GRM, Adam CJAP. Evaluation of the iPhone with an acrylic sleeve versus the Scoliometer for rib hump measurement in scoliosis. Scoliosis. 2012. 7:14.
18. Shin SH, Ro DH, Lee OS, Oh JH, Kim SH. Within-day reliability of shoulder range of motion measurement with a smartphone. Man Ther. 2012. 17:298–304.
19. Michie S, Abraham C, Whittington C, McAteer J, Gupta S. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol. 2009. 28:690–701.
20. Boulos MN, Wheeler S, Tavares C, Jones R. How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online. 2011. 10:24.