Abstract
Smartphone-based personalized mobile healthcare devices (SPMHDs) have become efficient with cost-effectiveness for monitoring and management of healthcare, particularly at remote, decentralized, and personal settings. The last few years have witnessed a surge in commercial SPMHDs for tracking blood pressure, physical activity, blood glucose, body weight, body analysis, pulse rate, electrocardiogram, blood oxygen saturation, and sleep quality. As equipped with advanced Bluetooth technology, Cloud computing, smart application, and telemedicine capabilities, SPMHDs are capable of real-time “on-site” analysis and increasing the user’s compliance by providing constant alerts and notifications. Moreover, they have the most extensive outreach as smartphones have become ubiquitous. With continuous innovation and improvement in mobile healthcare (mH), the next-generation SPMHDs will play a critical role in personalized healthcare to reduce the healthcare costs with improved health outcomes. This chapter provides a comprehensive overview, prospects, and applications of the commercial SPMHDs along with the challenges.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Ozcan A. Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools. Lab Chip. 2014.
Thilakanathan D, Chen S, Nepal S, Calvo R, Alem L. A platform for secure monitoring and sharing of generic health data in the Cloud. Futur Gener Comput Syst. 2014;35:102–13.
Portfolio Research Mobile Facebook. 2013. http://www.portioresearch.com/media/3986/Portio%20Research%20Mobile%20Factbook%202013pdf.
Vashist SK, Mudanyali O, Schneider EM, Zengerle R, Ozcan A. Cellphone-based devices for bioanalytical sciences. Anal Bioanal Chem. 2014;406(14):3263–77.
You DJ, Park TS, Yoon JY. Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays. Biosens Bioelectron. 2013;40(1):180–5.
Mudanyali O, Dimitrov S, Sikora U, Padmanabhan S, Navruz I, Ozcan A. Integrated rapid-diagnostic-test reader platform on a cellphone. Lab Chip. 2012;12(15):2678–86.
Tseng D, Mudanyali O, Oztoprak C, Isikman SO, Sencan I, Yaglidere O, et al. Lensfree microscopy on a cellphone. Lab Chip. 2010;10(14):1787–92.
Cooper DC, Callahan B, Callahan P, Burnett L. Mobile image ratiometry: a new method for instantaneous analysis of rapid test strips. Nat Preced. 2012. https://doi.org/10.1038/npre201268271.
Cadle BA, Rasmus KC, Varela JA, Leverich LS, O’Neill CE, Bachtell RK, et al. Cellular phone-based image acquisition and quantitative ratiometric method for detecting cocaine and benzoylecgonine for biological and forensic applications. Subst Abus. 2010;4:21–33.
Cooper DC. Mobile image ratiometry for the detection of Botrytis cinerea (Gray Mold). Nat Preced. 2012. https://doi.org/10.1038/npre201269891.
Mudanyali O, Tseng D, Oh C, Isikman SO, Sencan I, Bishara W, et al. Compact, light-weight and cost-effective microscope based on lensless incoherent holography for telemedicine applications. Lab Chip. 2010;10(11):1417–28.
Bishara W, Sikora U, Mudanyali O, Su TW, Yaglidere O, Luckhart S, et al. Holographic pixel super-resolution in portable lensless on-chip microscopy using a fiber-optic array. Lab Chip. 2011;11(7):1276–9.
Zhu H, Yaglidere O, Su TW, Tseng D, Ozcan A. Cost-effective and compact wide-field fluorescent imaging on a cell-phone. Lab Chip. 2011;11(2):315–22.
Smith ZJ, Chu K, Espenson AR, Rahimzadeh M, Gryshuk A, Molinaro M, et al. Cell-phone-based platform for biomedical device development and education applications. PLoS One. 2011;6(3):e17150.
Breslauer DN, Maamari RN, Switz NA, Lam WA, Fletcher DA. Mobile phone based clinical microscopy for global health applications. PLoS One. 2009;4(7):e6320.
Lillehoj PB, Huang MC, Truong N, Ho CM. Rapid electrochemical detection on a mobile phone. Lab Chip. 2013;13(15):2950–5.
Wireless Smart Gluco-Monitoring System. http://www.ihealthlabs.com/glucometer/wireless-smart-gluco-monitoring-system/.
Geiger GE, Oberding JW, Ward RN, White KD. Blood glucose meter/modem interface arrangement. 2007. U.S. Patent No. 7,181,350. 20 Feb 2007.
Peeters JP. Diagnostic radio frequency identification sensors and applications thereof. 2011. U.S. Patent No. 8,077,042. 13 Dec 2011.
Shen L, Hagen JA, Papautsky I. Point-of-care colorimetric detection with a smartphone. Lab Chip. 2012;12(21):4240–3.
Lu Y, Shi W, Qin J, Lin B. Low cost, portable detection of gold nanoparticle-labeled microfluidic immunoassay with camera cell phone. Electrophoresis. 2009;30(4):579–82.
Coskun AF, Wong J, Khodadadi D, Nagi R, Tey A, Ozcan A. A personalized food allergen testing platform on a cellphone. Lab Chip. 2013;13(4):636–40.
Zhu H, Sikora U, Ozcan A. Quantum dot enabled detection of Escherichia coli using a cell-phone. Analyst. 2012;137(11):2541–4.
Thomas MA, Narayan PR, Christian C. Mitigating gaps in reproductive health reporting in outlier communities of Kerala, India—A mobile phone-based health information system. Health Policy Technol. 2012;1(2):69–76.
McGeough CM, O’Driscoll S. Camera phone-based quantitative analysis of C-reactive protein ELISA. IEEE Trans Biomed Circ Syst. 2013;7(5):655–9.
Preechaburana P, Gonzalez MC, Suska A, Filippini D. Surface plasmon resonance chemical sensing on cell phones. Angew Chem. 2012;51(46):11585–8.
Zhu H, Mavandadi S, Coskun AF, Yaglidere O, Ozcan A. Optofluidic fluorescent imaging cytometry on a cell phone. Anal Chem. 2011;83(17):6641–7.
Zhu H, Sencan I, Wong J, Dimitrov S, Tseng D, Nagashima K, et al. Cost-effective and rapid blood analysis on a cell-phone. Lab Chip. 2013;13(7):1282–8.
Benhamou PY, Melki V, Boizel R, Perreal F, Quesada JL, Bessieres-Lacombe S, et al. One-year efficacy and safety of Web-based follow-up using cellular phone in type 1 diabetic patients under insulin pump therapy: the PumpNet study. Diabetes Metab. 2007;33(3):220–6.
Botsis T, Hartvigsen G. Current status and future perspectives in telecare for elderly people suffering from chronic diseases. J Telemed Telecare. 2008;14(4):195–203.
Carrera PM, Dalton AR. Do-it-yourself healthcare: the current landscape, prospects and consequences. Maturitas. 2014;77(1):37–40.
Carter MC, Burley VJ, Nykjaer C, Cade JE. Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial. J Med Internet Res. 2013;15(4):e32.
Coulter A. Engaging patients in healthcare. McGraw-Hill International; 2011.
Donker T, Petrie K, Proudfoot J, Clarke J, Birch MR, Christensen H. Smartphones for smarter delivery of mental health programs: a systematic review. J Med Internet Res. 2013;15(11):e247.
Duffy MB. Humanizing the healthcare experience: the key to improved outcomes. Gastrointest Endosc. 2014;79(3):499–502.
Fiordelli M, Diviani N, Schulz PJ. Mapping mHealth research: a decade of evolution. J Med Internet Res. 2013;15(5):e95.
Franc S, Borot S, Ronsin O, Quesada JL, Dardari D, Fagour C, et al. Telemedicine and type 1 diabetes: is technology per se sufficient to improve glycaemic control? Diabetes Metab. 2014;40(1):61–6.
Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med. 2013;10(1):e1001362.
Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P, et al. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10(1):e1001363.
Honka A, Kaipainen K, Hietala H, Saranummi N. Rethinking health: ICT-enabled services to empower people to manage their health. IEEE Rev Biomed Eng. 2011;4:119–39.
Joe J, Demiris G. Older adults and mobile phones for health: a review. J Biomed Inform. 2013;46(5):947–54.
Kaplan RM, Stone AA. Bringing the laboratory and clinic to the community: mobile technologies for health promotion and disease prevention. Annu Rev Psychol. 2013;64:471–98.
Luxton DD, McCann RA, Bush NE, Mishkind MC, Reger GM. mHealth for mental health: integrating smartphone technology in behavioral healthcare. Prof Psychol-Res Pr. 2011;42(6):505–12.
O’Reilly GA, Spruijt-Metz D. Current mHealth technologies for physical activity assessment and promotion. Am J Prev Med. 2013;45(4):501–7.
Pagoto S. The current state of lifestyle intervention implementation research: where do we go next? Transl Behav Med. 2011;1(3):401–5.
Price M, Yuen EK, Goetter EM, Herbert JD, Forman EM, Acierno R, et al. mHealth: a mechanism to deliver more accessible, more effective mental health care. Clin Psychol Psychother. 2013.
Stephens J, Allen J. Mobile phone interventions to increase physical activity and reduce weight: a systematic review. J Cardiovasc Nurs. 2013;28(4):320–9.
Martínez-Pérez B, de la Torre-Díez I, López-Coronado M. Mobile health applications for the most prevalent conditions by the World Health Organization: review and analysis. J Med Internet Res. 2013;15(6).
Phillips G, Felix L, Galli L, Patel V, Edwards P. The effectiveness of M-health technologies for improving health and health services: a systematic review protocol. BMC Res Notes. 2010;3(1):250.
Mosa AS, Yoo I, Sheets L. A systematic review of healthcare applications for smartphones. BMC Med Inform Decis Mak. 2012;12(1):67.
Bellina L, Missoni E. Mobile cell-phones (M-phones) in telemicroscopy: increasing connectivity of isolated laboratories. Diagn Pathol. 2009;4:19.
Dayer L, Heldenbrand S, Anderson P, Gubbins PO, Martin BC. Smartphone medication adherence apps: potential benefits to patients and providers. J Am Pharm Assoc. 2013;53(2):172.
Hasvold PE, Wootton R. Use of telephone and SMS reminders to improve attendance at hospital appointments: a systematic review. J Telemed Telecare. 2011;17(7):358–64.
Lester RT, Ritvo P, Mills EJ, Kariri A, Karanja S, Chung MH, et al. Effects of a mobile phone short message service on antiretroviral treatment adherence in Kenya (WelTel Kenya1): a randomised trial. Lancet. 2010;376(9755):1838–45.
Montes JM, Medina E, Gomez-Beneyto M, Maurino J. A short message service (SMS)-based strategy for enhancing adherence to antipsychotic medication in schizophrenia. Psychiatry Res. 2012;200(2–3):89–95.
Tripp N, Hainey K, Liu A, Poulton A, Peek M, Kim J, et al. An emerging model of maternity care: smartphone, midwife, doctor? Women Birth. 2014;27(1):64–7.
Demidowich AP, Lu K, Tamler R, Bloomgarden Z. An evaluation of diabetes self-management applications for Android smartphones. J Telemed Telecare. 2012;18(4):235–8.
Rao A, Hou P, Golnik T, Flaherty J, Vu S. Evolution of data management tools for managing self-monitoring of blood glucose results: a survey of iPhone applications. J Diabetes Sci Technol. 2010;4(4):949–57.
Migliore M. Smartphones or tablets for a better communication and education between residents and consultant in a teaching hospital. J Surg Educ. 2013;70(4):437–8.
Payne KFB, Wharrad H, Watts K. Smartphone and medical related App use among medical students and junior doctors in the United Kingdom (UK): a regional survey. BMC Med Inform Decis Mak. 2012;12(1):121.
Lunny C, Taylor D, Memetovic J, Warje O, Lester R, Wong T, et al. Short message service (SMS) interventions for the prevention and treatment of sexually transmitted infections: a systematic review protocol. Syst Rev. 2014;3(1):7.
Muessig KE, Pike EC, Legrand S, Hightow-Weidman LB. Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res. 2013;15(1):e1.
Lee AWM, Ng JKY, Wong EYW, Tan A, Lau AKY, Lai SFY. Lecture Rule No. 1: Cell phones ON, please! A low-cost personal response system for learning and teaching. J Chem Educ. 2013;90(3):388–9.
Wallace S, Clark M, White J. ‘It’s on my iPhone’: attitudes to the use of mobile computing devices in medical education, a mixed-methods study. BMJ Open. 2012;2(4).
Lau JK, Lowres N, Neubeck L, Brieger DB, Sy RW, Galloway CD, et al. iPhone ECG application for community screening to detect silent atrial fibrillation: a novel technology to prevent stroke. Int J Cardiol. 2013;165(1):193–4.
Peck JL, Stanton M, Reynolds GE. Smartphone preventive health care: parental use of an immunization reminder system. J Pediatr Health Care. 2014;28(1):35–42.
Lwin MO, Vijaykumar S, Fernando ON, Cheong SA, Rathnayake VS, Lim G, et al. A 21st century approach to tackling dengue: crowdsourced surveillance, predictive mapping and tailored communication. Acta Trop. 2013;130C:100–7.
Doyle GJ, Garrett B, Currie LM. Integrating mobile devices into nursing curricula: opportunities for implementation using Rogers’ Diffusion of Innovation model. Nurse Educ Today. 2014;34(5):775–82.
Xie L, Wang T, Huang T, Hou W, Huang G, Du Y. Dew inspired breathing-based detection of genetic point mutation visualized by naked eye. Sci Rep. 2014;4:6300.
http://www.samsung.com/us/ssic/pdf/Samsung_Simband_Backgrounderpdf.
Yang Y, Zhang H, Liu Y, Lin ZH, Lee S, Lin Z, et al. Silicon-based hybrid energy cell for self-powered electrodegradation and personal electronics. ACS Nano. 2013;7(3):2808–13.
Woolley CF, Hayes MA. Emerging technologies for biomedical analysis. Analyst. 2014;139(10):2277–88.
Wu WH, Bui AA, Batalin MA, Au LK, Binney JD, Kaiser WJ. MEDIC: medical embedded device for individualized care. Artif Intell Med. 2008;42(2):137–52.
Vashist SK, Zheng D, Al-Rubeaan K, Luong JHT, Sheu FS. Technology behind commercial devices for blood glucose monitoring in diabetes management: a review. Anal Chim Acta. 2011;703(2):124–36.
Vashist SK. Non-invasive glucose monitoring technology in diabetes management: a review. Anal Chim Acta. 2012;750:16–27.
Vashist SK. Continuous glucose monitoring systems: a review. Diagnostics. 2013;3(4):385–412.
Gudmundsson J, Besenbacher S, Sulem P, Gudbjartsson DF, Olafsson I, Arinbjarnarson S, et al. Genetic correction of PSA values using sequence variants associated with PSA levels. Sci Transl Med. 2010;2(62):62ra92.
Vashist SK, Schneider EM, Luong JHT. Commercial smartphone-based devices and smart applications for personalized healthcare monitoring and management. Diagnostics (Basel). 2014;4(3):104–28.
Incidence and trends of foodborne illness. 2011. http://www.cdc.gov/features/dsfoodnet/.
Scharff RL. Economic burden from health losses due to foodborne illness in the United States. J Food Prot. 2012;75(1):123–31.
Bickler PE, Feiner JR, Severinghaus JW. Effects of skin pigmentation on pulse oximeter accuracy at low saturation. Anesthesiology. 2005;102(4):715–9.
Macnab AJ, Smith M, Phillips N, Smart P. Oximeter reliability in a subzero environment. Aviat Space Environ Med. 1996;67(11):1053–6.
Schermer T, Leenders J, in ‘t Veen H, van den Bosch W, Wissink A, Smeele I, et al. Pulse oximetry in family practice: indications and clinical observations in patients with COPD. Fam Pract. 2009;26(6):524–31.
Jubran A. Pulse oximetry. Crit Care. 1999;3(2):R11–7.
Sinex JE. Pulse oximetry: principles and limitations. Am J Emerg Med. 1999;17(1):59–67.
Marston S, Li Z, Bandyopadhyay S, Zhang J, Ghalsasi A. Cloud computing — The business perspective. Decis Support Syst. 2011;51(1):176–89.
Subashini S, Kavitha V. A survey on security issues in service delivery models of cloud computing. J Netw Comput Appl. 2011;34(1):1–11.
Sun DW, Chang GR, Sun LN, Wang XW. Surveying and analyzing security, privacy and trust issues in cloud computing environments. Proc Eng. 2011;15:2852–6.
Zissis D, Lekkas D. Addressing cloud computing security issues. Futur Gener Comput Syst. 2012;28(3):583–92.
Li M, Yu SC, Zheng Y, Ren K, Lou WJ. Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption. IEEE Trans Parall Distr. 2013;24(1):131–43.
Schweitzer EJ. Reconciliation of the cloud computing model with US federal electronic health record regulations. J Am Med Inform Assoc. 2012;19(2):161–5.
Blumenthal D, Tavenner M. The “meaningful use” regulation for electronic health records. N Engl J Med. 2010;363(6):501–4.
Blumenthal D. Launching HITECH. N Engl J Med. 2010;362(5):382–5.
Dinh HT, Lee C, Niyato D, Wang P. A survey of mobile cloud computing: architecture, applications, and approaches. Wirel Commun Mob Comput. 2013;13(18):1587–611.
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(1):24.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Vashist, S.K., Luong, J.H.T. (2019). Commercially Available Smartphone-Based Personalized Mobile Healthcare Technologies. In: Point-of-Care Technologies Enabling Next-Generation Healthcare Monitoring and Management. Springer, Cham. https://doi.org/10.1007/978-3-030-11416-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-11416-9_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-11415-2
Online ISBN: 978-3-030-11416-9
eBook Packages: EngineeringEngineering (R0)