[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.Epub2016Jul9]Open 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.5066492096227287668]Open 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.6309535285628249834]Open 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.Epub2016Oct25]Open 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.2016.2341538044127802500]Search 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.0000000000005934529344128151878]Open 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.2016.021128051357]Search 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.eCollection2017]Open 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.Epub2016Aug27]Open 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/s12889-016-3419-9497589227496020]Open 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.Epub201731]Open 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.Epub2016Aug8]Open 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.Epub2016Sep21]Open 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.Epub2016Apr18]Open 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.00187.201527458243]Open 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.0152285483044427073900]Search 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.000000000000013227922466]Open DOISearch in Google Scholar
[21. Montag C, Duke E, Markowetz A. Toward Psychoinformatics: Computer Science Meets Psychology. Comput Math Methods Med. 2016; 2016: 2983685.10.1155/2016/2983685492355627403204]Search 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.6645524762328057609]Search 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.5146488987127193036]Open 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.2016.08.005515653027884232]Open DOISearch in Google Scholar
[25. Pop-Jordanova, Мобилните телефони и здравјето, Образовни рефлекси, 2006; 3: 76-78]Search 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): 33-45]Search 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: 1-2]Search 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): 2395-3470]Search 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.2015.0619533580327428034]Open 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.[Epubaheadprint]Open 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.Epub2016Jun21]Open 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.eCollection2017]Open 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.5717]Open 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.2016.0017]Search in Google Scholar