Cite

1. Aronoff-Spencer E, Venkatesh AG, Sun A, Brickner H, Looney D, Hall DA. Detection of Hepatitis C core antibody by dual-affinity yeast chimera and smartphone-based electrochemical sensing. Biosens Bioelectron. 2016 Dec 15;86:690-6. doi: 10.1016/j.bios.2016.07.023. Epub 2016 Jul 9.10.1016/j.bios.2016.07.023.Epub2016Jul9Open DOISearch in Google Scholar

2. Berrouiguet S, Baca-García E, Brandt S, Walter M, Courtet P. Fundamentals for Future Mobile-Health (mHealth): A Systematic Review of Mobile Phone and Web-Based Text Messaging in Mental Health. J Med Internet Res. 2016 Jun 10;18(6):e135. doi: 10.2196/jmir.5066.10.2196/jmir.5066492096227287668Open DOISearch in Google Scholar

3. Bonoto BC, de Araújo VE, Godói IP, de Lemos LL, Godman B, Bennie M, Diniz LM, Junior AA. Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth. 2017 Mar 1;5(3):e4. doi: 10.2196/mhealth.6309.10.2196/mhealth.6309535285628249834Open DOISearch in Google Scholar

4. Brooks MJ, Bear T, Hacker K, Ricci EM, Foulds A, Anderson H, Raible C, Miller E. An Alternative Technique for Youth Risk Surveillance Outside of the School System. J Adolesc Health. 2017 Jan;60(1):72-78. doi: 10.1016/j.jadohealth.2016.08.014. Epub 2016 Oct 25.10.1016/j.jadohealth.2016.08.014.Epub2016Oct25Open DOISearch in Google Scholar

5. Cheng Q, Juen J, Bellam S, Fulara N, Close D, Silverstein JC, Schatz B. Classification Models for Pulmonary Function using Motion Analysis from Phone Sensors. AMIA Annu Symp Proc. 2017 Feb 10;2016:401-410. eCollection 2016.Search in Google Scholar

6. Consolaro A, Morgan EM, Giancane G, Rosina S, Lanni S, Ravelli A. Information technology in paediatric rheumatology. Clin Exp Rheumatol. 2016 Sep-Oct;34(5 Suppl 101):S11-S16. Epub 2016 Oct 18.Search in Google Scholar

7. Catarinella FS, Bos WH. Digital health assessment in rheumatology: current and future possibilities. Clin Exp Rheumatol. 2016 Sep-Oct;34(5 Suppl 101):S2-S4. Epub 2016 Oct 18.Search in Google Scholar

8. Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association Between Portable Screen-Based Media Device Access or Use and Sleep Outcomes: A Systematic Review and Meta-analysis. JAMA Pediatr. 2016 Dec 1;170(12):1202-1208. doi: 10.1001/jamapediatrics.2016.2341.10.1001/jamapediatrics.2016.2341538044127802500Search in Google Scholar

9. Chomiak T, Watts A, Meyer N, Pereira FV, Hu B. A training approach to improve stepping automaticity while dual-tasking in Parkinson’s disease: A prospective pilot study. Medicine (Baltimore). 2017 Feb;96(5):e5934. doi: 10.1097/MD.0000000000005934.10.1097/MD.0000000000005934529344128151878Open DOISearch in Google Scholar

10. Dang S, Karanam C, Gómez-Marín O. Outcomes of a Mobile Phone Intervention for Heart Failure in a Minority County Hospital Population. Telemed J E Health. 2017 Jan 4. doi: 10.1089/tmj.2016.0211. [Epub ahead of print]10.1089/tmj.2016.021128051357Search in Google Scholar

11. De D, Mukherjee A, Sau A, Bhakta I.Design of smart neonatal health monitoring system using SMCC. Healthc Technol Lett. 2016 Nov 2;4(1):13-19. doi: 10.1049/htl.2016.0054. eCollection 2017.10.1049/htl.2016.0054.eCollection2017Open DOISearch in Google Scholar

12. den Hollander D, Mars M. Smart phones make smart referrals: The use of mobile phone technology in burn care - A retrospective case series. Burns. 2017 Feb;43(1):190-194. doi: 10.1016/j.burns.2016.07.015. Epub 2016 Aug 27.10.1016/j.burns.2016.07.015.Epub2016Aug27Open DOISearch in Google Scholar

13. Dumuid D, Olds TS, Lewis LK, Maher C. Does home equipment contribute to socioeconomic gradients in Australian children’s physical activity, sedentary time and screen time? BMC Public Health. 2016 Aug 5;16:736. doi: 10.1186/s12889-016-3419-9.10.1186/s12889-016-3419-9497589227496020Open DOISearch in Google Scholar

14. Haghi M, Thurow K, Stoll R.Wearable Devices in Medical Internet of Things: Scientific Research and Commercially Available Devices. Healthc Inform Res. 2017 Jan;23(1):4-15. doi: 10.4258/hir.2017.23.1.4. Epub 2017 Jan 31.10.4258/hir.2017.23.1.4.Epub201731Open DOISearch in Google Scholar

15. Hung S, Li MS, Chen YL, Chiang JH, Chen YY, Hung GC. Smartphone-based ecological momentary assessment for Chinese patients with depression: An exploratory study in Taiwan. Asian J Psychiatr. 2016 Oct;23:131-136. doi: 10.1016/j.ajp.2016.08.003. Epub 2016 Aug 8.10.1016/j.ajp.2016.08.003.Epub2016Aug8Open DOISearch in Google Scholar

16. John ME, Samson-Akpan PE, Etowa JB, Akpabio II, John EE. Enhancing self-care, adjustment and engagement through mobile phones in youth with HIV. Int Nurs Rev. 2016 Dec;63(4):555-561. doi: 10.1111/inr.12313. Epub 2016 Sep 21.10.1111/inr.12313.Epub2016Sep21Open DOISearch in Google Scholar

17. Kolla BP, Mansukhani S, Mansukhani MP. Consumer sleep tracking devices: a review of mechanisms, validity and utility. Expert Rev Med Devices. 2016 May;13(5):497-506. doi: 10.1586/17434440.2016.1171708. Epub 2016 Apr 18.10.1586/17434440.2016.1171708.Epub2016Apr18Open DOISearch in Google Scholar

18. Kukolja Taradi S, Taradi M. Making physiology learning memorable: a mobile phone-assisted case-based instructional strategy. Adv Physiol Educ. 2016 Sep;40(3):383-7. doi: 10.1152/advan.00187.2015.10.1152/advan.00187.201527458243Open DOISearch in Google Scholar

19. Larsen ME, Nicholas J, Christensen H. A Systematic Assessment of Smartphone Tools for Suicide Prevention. PLoS One. 2016 Apr 13;11(4):e0152285. doi: 10.1371/journal.pone.0152285. eCollection 2016.10.1371/journal.pone.0152285483044427073900Search in Google Scholar

20. Mittal S. Smartphone-Based Electrocardiographic and Cardiac Implantable Electronic Device Monitoring. Cardiol Rev. 2017 Jan/Feb;25(1):12-16.10.1097/CRD.000000000000013227922466Open DOISearch in Google Scholar

21. Montag C, Duke E, Markowetz A. Toward Psychoinformatics: Computer Science Meets Psychology. Comput Math Methods Med. 2016; 2016: 2983685.10.1155/2016/2983685492355627403204Search in Google Scholar

22. Mohr DC, Tomasino KN, Lattie EG, Palac HL, Kwasny MJ, Weingardt K, Karr CJ, Kaiser SM, Rossom RC, Bardsley LR, Caccamo L, Stiles-Shields C, Schueller SM. IntelliCare: An Eclectic, Skills-Based App Suite for the Treatment of Depression and Anxiety. J Med Internet Res. 2017 Jan 5;19(1):e10. doi: 10.2196/jmir.6645.10.2196/jmir.6645524762328057609Search in Google Scholar

23. Mummah SA, Mathur M, King AC, Gardner CD, Sutton S. Mobile Technology for Vegetable Consumption: A Randomized Controlled Pilot Study in Overweight Adults. JMIR Mhealth Uhealth. 2016 May 18;4(2):e51. doi: 10.2196/mhealth.5146.10.2196/mhealth.5146488987127193036Open DOISearch in Google Scholar

24. Peacock E, Krousel-Wood M. Adherence to Antihypertensive Therapy. Med Clin North Am. 2017 Jan;101(1):229-245. doi: 10.1016/j.mcna.2016.08.005.10.1016/j.mcna.2016.08.005515653027884232Open DOISearch in Google Scholar

25. Pop-Jordanova, Мобилните телефони и здравјето, Образовни рефлекси, 2006; 3: 76-78Search in Google Scholar

26. Pop-Jordanov J., Pop-Jordanova N. Mobile phones, E E G and Mental Activity, WebmedCentral BRAIN [electronic source], published on: 30.01.2011, article (URL): https://www.webmedcentral.com/wmcpdf/Search in Google Scholar

27. Article_WMC001370.pdf, 2011; 2 (1): WMC001493 (1-7)Search in Google Scholar

28. Pop-Jordanova N., Pop-Jordanova S. Health symptoms caused by electromagnetic radiation, Physioacta, 2012; 6 (2): 33-45Search in Google Scholar

29. Pop-Jordanova N., Loleska S. Hypersensitive reactions in humans due to electromagn etic radiation, Book of digests: 5th Symposium on Applied Electromagnetics - SAEM’2014, Skopje, Macedonia, June 8-11, 2014, eds. L. Petkovska, G. Cvetkovski, Faculty of Electrical Engineering and Information Technologies, Skopje, 2014: 1-2Search in Google Scholar

30. Pop-Jordanova N., Loleska S. Some negative effects of mobile phone’s use, International Journal of Scientific Engineering and Applied Science (IJSEAS), 2015; 2 (6): 2395-3470Search in Google Scholar

31. Radovic A, Vona PL, Santostefano AM, Ciaravino S, Miller E, Stein BD. Smartphone Applications for Mental Health. Cyberpsychol Behav Soc Netw. 2016 Jul;19(7):465-70. doi: 10.1089/cyber.2015.0619.10.1089/cyber.2015.0619533580327428034Open DOISearch in Google Scholar

32. Richardson JE, Lee JI, Nirenberg A, Reid MC. The Potential Role for Smartphones Among Older Adults with Chronic Noncancer Pain: A Qualitative Study. Pain Med. 2017 Jan 20. pii: pnw284. doi: 10.1093/pm/pnw284. [Epub ahead of print]10.1093/pm/pnw284.[EpubaheadprintOpen DOISearch in Google Scholar

33. Swendeman D, Farmer S, Mindry D, Lee SJ, Medich M. HIV Care Providers’ Attitudes regarding Mobile Phone Applications and Web-Based Dashboards to support Patient Self-Management and Care Coordination: Results from a Qualitative Feasibility Study. J HIV AIDS. 2016 Oct;2(4). doi: 10.16966/2380-5536.127. Epub 2016 Jun 21.10.16966/2380-5536.127.Epub2016Jun21Open DOISearch in Google Scholar

34. Shibuta T, Waki K, Tomizawa N, Igarashi A, Yamamoto-Mitani N, Yamaguchi S, Fujita H, Kimura S, Fujiu K, Waki H, Izumida Y, Sasako T, Kobayashi M, Suzuki R, Yamauchi T, Kadowaki T, Ohe K. Willingness of patients with diabetes to use an ICT-based self-management tool: a cross-sectional study. BMJ Open Diabetes Res Care. 2017 Feb 7;5(1):e000322. doi: 10.1136/bmjdrc-2016-000322. eCollection 2017.10.1136/bmjdrc-2016-000322.eCollection2017Open DOISearch in Google Scholar

35. Tay I, Garland S, Gorelik A, Wark JD.Development and Testing of a Mobile Phone App for Self-Monitoring of Calcium Intake in Young Women. JMIR Mhealth Uhealth. 2017 Mar 7;5(3):e27. doi: 10.2196/mhealth.5717.10.2196/mhealth.5717Open DOISearch in Google Scholar

36. Triantafyllidis AK, Koutkias VG, Chouvarda I, Adami I, Kouroubali A, Maglaveras N. Framework of sensor-based monitoring for pervasive patient care. Healthc Technol Lett. 2016 Aug 12;3(3):153-158. eCollection 2016.10.1049/htl.2016.0017Search in Google Scholar

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