A survey on wireless body area networks for ehealthcare systems in residential environments

Sensors (Switzerland)

Volumn 16, Issue 6, 2016, Pages

  Ghamari, Mohammad ^a   Janko, Balazs ^b   Sherratt, R Simon ^b   Harwin, William ^b   Piechockic, Robert ^c   Soltanpur, Cinna ^d  

^a University of Texas at El Paso   (United States)

^b UNIVERSITY OF READING   (United Kingdom)

^c UNIVERSITY OF BRISTOL   (United Kingdom)

^d University of Oklahoma   (United States)

Author keywords

Biomedical; EHealthcare; Information and communications technology (ICT); Telemonitoring; Wireless body area network (WBAN); Wireless technology

Indexed keywords

CHIP SCALE PACKAGES; HOUSES; HOUSING; NETWORKS (CIRCUITS); PHYSIOLOGICAL MODELS; REMOTE PATIENT MONITORING; WIRELESS LOCAL AREA NETWORKS (WLAN); WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

BIOMEDICAL; E-HEALTHCARE; INFORMATION AND COMMUNICATIONS TECHNOLOGY; TELE-MONITORING; WIRELESS BODY AREA NETWORK; WIRELESS TECHNOLOGIES;

WEARABLE TECHNOLOGY;

AGED; ELECTRONIC DEVICE; GENETIC PROCEDURES; HUMAN; PHYSIOLOGIC MONITORING; PROCEDURES; TRENDS; WIRELESS COMMUNICATION;

AGED; BIOSENSING TECHNIQUES; HUMANS; MONITORING, PHYSIOLOGIC; WEARABLE ELECTRONIC DEVICES; WIRELESS TECHNOLOGY;

EID: 84973320515     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s16060831     Document Type: Article

References (148)

1. Office of National Statistics. Statistical Bulletin National Population Projections, 2012-based Statistical Bulletin. Available online: http://www.ons.gov.uk/ons/dcp171778_334975.pdf (accessed on 1 May 2016).
2. U.C.B.P.I. Office. Unprecedented Global Aging Examined in New Census Bureau Report Commissioned by the National Institute on Aging; U.S. Census Bureau: Washington, DC, USA, 2009.
3. Wei, C., Jinju, L. Future Population Trends in China: 2005-2050; Centre of Policy Studies/IMPACT Centre, Victoria University: Victoria, Australia, 2009.
4. Department of Economic and Social Affairs Population Division. World Population Prospects: The 2012 Revision. Methodology of the United Nations Population Estimates and Projections; Rep. ESA/P/WP. 235; UN: New York, NY, USA, 2004.
5. Roberts, C.K., Barnard, R.J. Effects of exercise and diet on chronic disease. J. Appl. Physiol. 2005, 98, 3-30. [CrossRef] [PubMed]
6. Who and FAO Expert Consultation. Diet, Nutrition and the Prevention of Chronic Diseases; World Health Organization Technical Report Series 916;World Health Organization: Geneva, Swiss, 2003.
7. Alwan, A. Global Status Report on Non-Communicable Diseases 2010; World Health Organization: Geneva, Switzerland; Available online: http://www.who.int/nmh/publications/ncd_report_full_en.pdf (accessed on 1 May 2016).
8. Bodenheimer, T., Chen, E., Bennett, H.D. Confronting the growing burden of chronic disease: Can the US health care workforce do the job? Health Aff. 2009, 28, 64-74. [CrossRef] [PubMed]
9. Anderson, G., Horvath, J. The growing burden of chronic disease in America. Public Health Rep. 2004, 119, 263-270. [CrossRef] [PubMed]
10. Lehnert, T., Heider, D., Leicht, H., Heinrich, S., Corrieri, S., Luppa, M., Heller, S.R., Konig, H.H. Review: Health care utilization and costs of elderly persons with multiple chronic conditions. Med. Care Res. Rev. 2011, 68, 387-420. [CrossRef] [PubMed]
11. Yach, D., Hawkes, C., Gould, L., Hofman, K.J. The global burden of chronic diseases: Overcoming impediments to prevention and control. J. Am. Med. Assoc. 2004, 291, 2616-2622. [CrossRef] [PubMed]
12. Leifer, B.P. Early diagnosis of Alzheimer’s disease: Clinical and economic benefits. J. Am. Geriatr. Soc. 2003, 51, S281-S288. [CrossRef] [PubMed]
13. Levin, A., Stevens, P.E. Early detection of CKD: The benefits, limitations and effects on prognosis. Nat. Rev. Nephrol. 2011, 7, 446-457. [CrossRef] [PubMed]
14. Alzheimer’s Association Report. 2011 Alzheimer’s disease facts and figures. Alzheimer’s Dement. J. Alzheimer’s Assoc. 2011, 7, 208-244.
15. Pahwa, R., Lyons, K.E. Early diagnosis of Parkinson’s disease: Recommendations from diagnostic clinical guidelines. Am. J. Manag. Care 2010, 16, 94-99.
16. Fouad, H. Continuous Health-monitoring for early Detection of Patient by Web Telemedicine System. In Proceedings of the International Conference on Circuits, Systems and Signal Processing, St Petersburg, Russia, 23-25 September 2014.
17. Jara, A.J., Zamora-Izquierdo, M.A., Gomez-Skarmeta, A.F. An Ambient Assisted Living System for Telemedicine with Detection of Symptoms. In Bioinspired Applications in Artificial and Natural Computation; Springer: Berlin, German, 2009; pp. 75-84.
18. Hadjem, M., Salem, O., Abdesselam, F.N., Mehaoua, A. Early detection of Myocardial Infarction using WBAN. In Proceedings of the IEEE International Conference on e-Health Networking, Applications & Services (Healthcom), Lisbon, Portugal, 9-12 October 2013; pp. 135-139.
19. Chakraborty, C., Gupta, B., Ghosh, S.K. A review on telemedicine-based WBAN framework for patient monitoring. Telemed. E Health 2013, 19, 619-626. [CrossRef] [PubMed]
20. Ullah, S., Higgins, H., Braem, B., Latre, B., Blondia, C., Moerman, I., Saleem, S., Rahman, Z., Kwak, K.S. A comprehensive survey of wireless body area networks. J. Med. Syst. 2010, 36, 1065-1094. [CrossRef] [PubMed]
21. Bradai, N., Chaari, L., Kamoun, L. A comprehensive overview of wireless body area networks (WBAn). Int. J. E Health Med. Commun. 2011, 2, 1-30. [CrossRef]
22. Ragesh, G.K., Baskaran, K. A survey on futuristic health care system: WBANs. Proced. Eng. 2012, 30, 889-896.
23. Chen, M., Gonzalez, S., Vasilakos, A., Cao, H., Leung, V.C.M. Body Area Networks: A Survey. Mob. Netw. Appl. 2010, 16, 171-193. [CrossRef]
24. Latre, B., Braem, B., Moerman, I., Blondia, C., Demeester, P. A Survey on Wireless Body Area Networks. ACM J. Wirel. Netw. 2011, 17, 1-18. [CrossRef]
25. University of Bristol. SPHERE 2015. Available online: http://www.irc-sphere.ac.uk/about (accessed on 10 March 2015).
26. Iniewski, K. VLSI Circuits for Biomedical Applications; Artech House: Norwood, MA, USA, 2008.
27. Hall, P.S., Hao, Y. Antennas and propagation for body centric communications. In Proceedings of the 2006 First European Conference on Antennas and Propagation, Nice, France, 6-10 November 2006; pp. 1-7.
28. Hall, P.S., Hao, Y., Nechayev, Y.I., Alomainy, A., Constantinou, C.C., Parini, C., Kamarudin, M.R., Salim, T.Z., Hee, D.T.M., Dubrovka, R., et al. Antennas and propagation for on-body communication systems. IEEE Antennas Propag. Mag. 2007, 49, 41-58. [CrossRef]
29. Ghamari, M., Heravi, B.M., Roedig, U., Honary, B., Pickering, C.A. Improving transmission reliability of low-power medium access control protocols using average diversity combining. IET Wirel. Sens. Syst. 2012, 2, 377-384. [CrossRef]
30. Ghamari, M., Heravi, B.M., Roedig, U., Honary, B. Reliability comparison of transmit/receive diversity and error control coding in low-power medium access control protocols. IET Netw. 2014, 3, 284-292. [CrossRef]
31. Popov, M. The convergence of wired and wireless services delivery in access and home networks. In Proceedings of the Optical Fiber Communication Conference, San Diego, CA, USA, 21-25 March 2010; pp. 1-3.
32. Chen, W.Y. Home Networking Basis: Transmission Environments and Wired/Wireless Protocols; Prentice Hall Professional: Upper Saddle River, NJ, USA, 2003.
33. Mendelson, G. All You Need To Know About Power over Ethernet (PoE) and the IEEE 802.3 af Standard. Available online: https://portal.chippc.com/support/downloads/files/PoE_and_IEEE802_3af.pdf (accessed on 4 June 2016).
34. Harrington, J.L. Ethernet Networking for the Small Office and Professional Home Office; Morgan Kaufmann Publisher: Burlington, MA, USA, 2010.
35. Kailas, A., Cecchi, V., Mukherjee, A. A survey of communications and networking technologies for energy management in buildings and home automation. J. Comput. Netw. Commun. 2012. [CrossRef]
36. Chen, M., Wan, J., Gonzalez, S., Liao, X., Leung, C.M. A survey of recent developments in home M2M networks. IEEE Commun. Surv. Tutor. 2013, 16, 98-114. [CrossRef]
37. Lin, Y.J., Latchman, H.A., Lee, M. A power line communication network infrastructure for the smart home. IEEE Wirel. Commun. 2002, 9, 104-111.
38. Gungor, V.C., Lambert, F.C. A survey on communication networks for electric system automation. Comput. Netw. 2006, 50, 877-897. [CrossRef]
39. Ghamari, M., Janko, B., Sherratt, R.S., Harwin, W. An Energy-Efficient Hybrid System for Wireless Body Area Network Applications. In Proceedings of the 15th Ann. Post-Graduate Symposium on Convergence of Telecomm, Networking and Broadcasting, Liverpool, UK, 23-24 June 2014.
40. Dieter, W.R., Datta, S., Kai, W.K. Power Reduction by Varying Sampling Rate. In Proceedings of the IEEE International Symposium on Low Power Electronics and Design, San Diego, CA, USA, 8-10 August 2005.
41. Krause, A., Ihmig, M., Rankin, E., Leong, D., Gupta, S., Siewiorek, D., Smailagic, A., Deisher, M., Sengupta, U. Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing. In Proceedings of the 9th IEEE International Symposium on Wearable Computers, Osaka, Japan, 18-21 October 2005.
42. Cuyt, A., Lee, W.S. Smart Data Sampling and Data Reconstruction. US20140195200A1, 10 July 2014.
43. Elias, J. Optimal design of energy-efficient and cost-effective wireless body area networks. Ad Hoc Netw. 2014, 13, 560-574. [CrossRef]
44. Ding, J., Dutkiewicz, E., Huang, X., Fang, G. Energy efficient cooperative transmission in single-relay UWB based body area networks. In Proceedings of the 2015 IEEE International Conference on Communications (ICC), London, UK, 8-12 June 2015; pp. 1559-1564.
45. Ghani, A., Naqvi, H.A., Sher, M., Khan, Z.S., Khan, I., Saqlain, M. Energy efficient communication in body area networks using collaborative communication in Rayleigh fading channel. Telecommun. Syst. 2015, 1-4. [CrossRef]
46. Ahmed, S., Javaid, N., Yousaf, S., Ahmad, A., Sandhu, M.M., Imran, M., Khan, Z.A., Alrajeh, N. Co-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks. Comput. Hum. Behav. 2015, 31, 1205-1215. [CrossRef]
47. D’Andreagiovanni, F., Nardin, A. Towards the fast and robust optimal design of Wireless Body Area Networks. Appl. Soft Comput. 2015, 37, 971-982. [CrossRef]
48. Liu, Z., Liu, B., Chen, C., Chen, C.W. Energy-efficient resource allocation with QoS support in wireless body area networks. In Proceedings of the 2015 IEEE Global Communications Conference (GLOBECOM), San Diego, CA, USA, 6-10 December 2015; pp. 1-6.
49. Zhao, Y., Hao, Y., Alomainy, A., Parini, C. UWB On-Body Radio Channel Modeling using Ray Theory and Subband FDTD Method. IEEE Trans. Microw. Theory Tech. 2006, 54, 1827-1835. [CrossRef]
50. Liu, L., D’Errico, R., Ouvry, L., de Doncker, P., Oestges, C. Dynamic Channel Modeling at 2.4 GHz for On-Body Area Networks. J. Adv. Electron. Telecommun. 2011, 2, 18-27.
51. Roy, S.V., Quitin, F., Liu, L.F., Oestges, C., Horlin, F., Dricot, J.M., de Doncker, P. Dynamic Channel Modeling for Multi-Sensor Body Area Networks. IEEE Trans. Antennas Propag. 2012, 61, 2200-2208.
52. Chakraborty, C., Gupta, B., Ghosh, S.K., Engineering, C. A Review on Telemedicine-Based WBANF ramework for Patient Monitoring. Telemed. E Health 2013, 19, 619-626. [CrossRef] [PubMed]
53. Arya, A., Bilandi, N. A Review: Wireless Body Area Networks for Health Care. Int. J. Innov. Res. Comput. Commun. Eng. 2014, 2, 3800-3806.
54. Bluetooth SIG (2015). Bluetooth Low Energy. Available online: http://www.bluetooth.com/Pages/lowenergy-tech-info.aspx (accessed on 4 June 2016).
55. IEEE Standard for Local and Metropolitan Area Networks—Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs), IEEE Standard 802.15.4, 2011. Available online: http://ecee.colorado.edu/~{}liue/teaching/comm_standards/2015S_zigbee/802.15.4-2011.pdf (accessed on 4 June 2016).
56. ZigBee Alliance (2015). Available online: http://www.zigbee.org/ (accessed on 1 May 2016).
57. ZigBee. ZigBee Wireless Sensor Applications for Health, Wellness and Fitness; ZigBee Alliance: Davis, CA, USA, 2009.
58. Health informatics—Personal health device communication Part 00103: Overview. IEEE Std 11073-00103-2012. Available online: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6293820&contentType=Standards (accessed on 4 June 2016).
59. ZigBee. New ZigBee PRO Feature: Green Power; ZigBee Alliance: Davis, CA, USA, 2012.
60. Kwak, K.S., Ullah, S., Ullah, N. An Overview of IEEE 802.15.6 Standard. In Proceedings of the International Symposium on Applied Science in Biomedical and Communication Technologies, Rome, Italy, 7-10 November 2010.
61. Bluetooth, 2015. Available online: http://www.bluetooth.com/Pages/Bluetooth-Home.aspx (accessed on 1 May 2016).
62. Bluetooth Development Portal, 2015. Available online: https://developer.bluetooth.org/TechnologyOverview/Pages/HDP.aspx (accessed on 1 May 2016).
63. ANT+, 2015. Available online: http://www.thisisant.com/ (accessed on 1 May 2016).
64. RuBee, 2015. Available online: http://www.rubee.com/Techno/index.html (accessed on 1 May 2016).
65. IEEE Standard for Long Wavelength Wireless Network Protocol, IEEE Standard 1902.1, 2009. Available online: https://standards.ieee.org/findstds/standard/1902.1-2009.html. (accessed on 4 June 2016).
66. Yu, X., Xia, X., Chen, X. Design and application of RuBee-based telemedicine data acquisition system. In Proceedings of the 10th IEEE International Conference on Computer and Information Science, Sanya, China, 15-17 May 2011.
67. Zareei, M., Zarei, A., Budiarto, R., Omar, M.A. A Comparative Study of Short RangeWireless Sensor Network on High Density Networks. In Proceedings of the 17th Asia-Pacific Conference on Communications, Sabah, Malaysia, 2-5 October 2011.
68. Toumaz Group (2015). Available online: http://www.toumaz.com/ (accessed on 1 May 2016).
69. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E. A Survey on Sensor Networks. IEEE Commun. Mag. 2002, 40, 102-114. [CrossRef]
70. Microsemi (2015). Available online: http://www.microsemi.com/ (accessed on 1 May 2016).
71. Zarlink Semiconductor. ZL70101 Medical Implantable RF Transceiver, 2009. Available online: http://ulp.zarlink.com/zarlink/zweb-zl70101-datasheet-dec09.pdf (accessed on 1 May 2016).
72. Z-Wave (2015). Available online: http://www.z-wave.com (accessed on 1 May 2016).
73. Sigma Designs (2015). Available online: http://www.sigmadesigns.com/ (accessed on 1 May 2016).
74. Z-Wave Alliance (2015). Available online: http://z-wavealliance.org/ (accessed on 1 May 2016).
75. Gomez, C., Paradells, J. Wireless home automation networks: A survey of architectures and technologies. IEEE Commun. Mag. 2010, 48, 92-101. [CrossRef]
76. Insteon (2015). Available online: http://www.insteon.com/ (accessed on 1 May 2016).
77. Adibi, S. Link technologies and BlackBerry mobile Health (mHealth) solutions: A review. IEEE Trans. Inf. Technol. Biomed. 2012, 16, 586-597. [CrossRef] [PubMed]
78. Elster (2015). Wavenis Technology. Available online: http://www.elstermetering.com/en/wavenistechnology (accessed on 1 May 2016).
79. FitLinxx (2015). Body LAN Wireless Protocol. Available online: http://www.fitlinxx.net/bodylan-wirelessprotocol.htm (accessed on 1 May 2016).
80. DASH7 Alliance (2015). Available online: http://www.dash7-alliance.org/ (accessed on 1 May 2016).
81. Weyn, M., Ergeerts, G., Wante, L., Vercauteren, C., Hellinckx, P. Survey of the DASH7 alliance protocol for 433 MHz wireless sensor communication. Int. J. Distr. Sens. Netw. 2013. [CrossRef]
82. Weyn, M., Ergeerts, G., Berkvens, R., Wojciechowski, B., Tabakov, Y. DASH7 alliance protocol 1.0: Low-power, mid-range sensor and actuator communication. In Proceedings of the 2015 IEEE Conference on Standards for Communications and Networking (CSCN), Tokyo, Japan, 28-30 October 2015; pp. 54-59.
83. Aragues, A., Escayola, J., Martinez, I., Valle, P.D., Munoz, P., Trigo, J.D., Garcia, J. Trends and challenges of the emerging technologies toward interoperability and standardization in e-health communications. IEEE Commun. Mag. 2011, 49, 182-188. [CrossRef]
84. Rawat, P., Singh, K.D., Chaouchi, H., Bonnim, J. M. Wireless Sensor Networks: Recent developments and potential synergies. J. Supercomput. 2013, 68, 1-48. [CrossRef]
85. Haase, J. Wireless network standards for building automation. Embed. Syst. Smart Appl. Energy Manag. 2012, 3, 53-65.
86. One-Net (2015). Available online: http://www.one-net.info/ (accessed on 1 May 2016).
87. EnOcean (2015). Available online: https://www.enocean.com/en/home/ (accessed on 1 May 2016).
88. Seyedi, M., Kibret, B., Lai, D.T.H., Faulkner, M. A survey on intrabody communications for body area network applications. IEEE Trans. Biomed. Eng. 2013, 60, 2067-2079. [CrossRef] [PubMed]
89. Wegmueller, M.S., Oberle, M., Felber, N., Kuster, N., Fichtner, W. Signal transmission by galvanic coupling through the human body. IEEE Trans. Instrum. Meas. 2009, 59, 963-969. [CrossRef]
90. Galluccio, L., Melodia, T., Palazzo, S., Santagati, G.E. Challenges and Implications of using Ultrasonic Communications in Intra-body Area Networks. In Proceedings of the 9th International Conference on Wireless On-Demand Network Systems and Services, Courmayeur, Italy, 9-11 January 2012.
91. Singer, A., Oelze, M., Podkowa, A. Mbps Experimental Acoustic Through-Tissue Communications: MEAT-COMMS. Available online: http://arxiv.org/abs/1603.05269 (accessed on 4 June 2016).
92. Okunev, Y., Arneson, M., Bandy, W., Davenport, R., Jamieson, B., Powell, K., Shanks, W., Trivelli, A. Acoustic Intra-Body Data Transmission. Available online: http://www.innurvation.com/assets/acousticintrabodydatatransmission.pdf. (accessed on 4 June 2016).
93. Ghamari, M., Arora, H., Sherratt, R.S., Harwin, W. Comparison of Low-Power Wireless Communication Technologies forWearable Health-Monitoring Applications. In Proceedings of the 2th IEEE International Conference on Computer, Communications and Control Technology, Kuching, Malaysia, 21-23 April 2015.
94. Spasojevic, Z., Burns, J. Performance Comparison of Frequency Hopping and Direct Sequence Spread Spectrum Systems in the 2.4 GHz Range. In Proceedings of the 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications, London, UK, 18-21 September 2000.
95. Nordic. (January 2001). nRF903 430MHz-950MHz Single Chip RF Transceiver. Available online: http://www.go-gddq.com/downlocal/NRF/NRF903.pdf (accessed on 1 May 2016).
96. Sikka, P., Corke, P., Overs, L. Wireless sensor devices for animal tracking and control. In Proceedings of the 29th IEEE International Conference on Local Computer Networks, Washington, DC, USA, 16-18 November 2004.
97. Khan, W.Z., Xiang, Y., Aalsalem, M.Y., Arshad, Q. Mobile Phone Sensing Systems: A Survey. IEEE Commun. Surv. Tutor. 2013, 15, 402-427. [CrossRef]
98. Zhang, Y., Sun, L., Song, H., Cao, X. Ubiquitous WSN for Healthcare: Recent Advances and Future Prospects. IEEE J. Internet Things 2014, 1, 311-318. [CrossRef]
99. Kumar, M., Veeraraghavan, A., Sabharwal, A. Distance PPG: Robust non-contact vital signs monitoring using a camera. J. Biomed. Opt. Express 2015, 6, 1565-1588. [CrossRef] [PubMed]
100. Hao, T., Xing, G., Zhou, G. iSleep: Unobtrusive Sleep Quality Monitoring using Smartphones. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, Roma, Italy, 11-15 November 2013.
101. Kwon, S., Kim, H., Park, K.S. Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone. In Proceedings of the IEEE International Conference of Engineering in Medicine and Biology Society, San Diego, CA, USA, 28 August-1 September 2012.
102. Hao, T., Xing, G., Zhou, G. Unobtrusive Sleep Monitoring using Smartphones. In Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare, Venice, Italy, 5-8 May 2013.
103. Frost, M., Marcu, G., Hansen, R., Szaanto, K., Bardram, J.E. The MONARCA self-assessment system: Persuasive personal monitoring for bipolar patients. In Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare, Dublin, Ireland, 23-26 May 2011.
104. Lee, J. (March 2015). Biometrics combined with big data will impact the healthcare industry. Available online: http://www.biometricupdate.com/201503/biometrics-combined-with-big-data-will-impact-thehealthcare-industry (accessed on 1 May 2016).
105. Ryan, D., Price, D., Musgrave, S.D., Malhotra, S., Lee, A.J., Ayansina, D., Sheikh, A., Tarassenko, L., Pagliari, C., Pinnock, H. Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial. BMJ J. 2012, 344, e1756. [CrossRef] [PubMed]
106. Escarrabill, J. (July 2013). Telemonitoring in Patients with Chronic Respiratory Diseases: Lights and Shadows. Available online: http://www.ersbuyersguide.org/articles/previous-issues/20122013/item/telemonitoring-in-patients-with-chronic-respiratory-diseases-lights-and-shadows (accessed on 1 May 2016).
107. Zanaboni, P., Wootton, R. Adoption of telemedicine: from pilot stage to routine delivery. BMC Med. Inform. Decis. Mak. 2012, 12. [CrossRef] [PubMed]
108. Parmar, A. (April 2014). 5 Areas of mHealth Growth In The Future. Available online: http://www. mddionline.com/article/5-areas-mhealth-growth-future (accessed on 1 May 2016).
109. Dorfman, M., Gazit, E., Mirelman, A., Hausdorff, J.M., Oster, G.T.R. A Wearable Assistant for Gait Training for Parkinson’s Disease with Freezing of Gait in Out-of-the-Lab Environments. ACM Trans. Interact. Intell. Syst. 2015, 5. [CrossRef]
110. Taylor, A., Park, F.E., Bernard, L., Health, M.C., Partnership, S.C., Hospital, S., Road, D., Pizey, H., Whittet, C., Davies, S., et al. BodyGuard: A Case Study of Telecare. In Proceedings of the 33th ACM Conference Extended Abstracts on Human Factors in Computing Systems, San Diego, CA, USA, 8-12 November 2015.
111. Ojetola, O., Gaura, E., Brusey, J. Data Set for Fall Events and Daily Activities from Inertial Sensors. In Proceedings of the 6th ACM Conference on Multimedia Systems, Portland, OR, USA, 18-20 March 2015.
112. Miranda, D., Calderón, M., Favela, J. Anxiety detection using wearable monitoring. In Proceedings of the ACM Conference on Human Computer Interaction, Helsinki, Finland, 26-30 October 2014.
113. Kantoch, E., Augustyniak, P., Markiewicz, M., Prusak, D. Monitoring activities of daily living based on wearable wireless body sensor network. In Proceedings of the IEEE International Conference on Engineering in Medicine and Biology Society, Chicago, IL, USA, 26-30 August 2014.
114. Papazoglou, P.M. Towards a Low Cost Open Architecture Wearable Sensor Network for Health Care Applications. In Proceedings of the 7th International Conference on Pervasive Technologies Related to Assistive Environments, Rhodes, Greece, 27-30 May 2014.
115. Vanveerdeghem, P., van Torre, P., Stevens, C., Knockaert, J., Rogier, H. Synchronous Wearable Wireless Body Sensor Network Composed of Autonomous Textile Nodes. J. Sens. 2014, 14, 18583-18610. [CrossRef] [PubMed]
116. Cancela, J., Pastorino, M., Arredondo, M.T., Nikita, K.S., Villagra, F., Pastor, M.A. Feasibility Study of a Wearable System Based on a Wireless Body Area Network for Gait Assessment in Parkinson’s Disease Patients. J. Sens. 2014, 14, 4618-4633. [CrossRef] [PubMed]
117. González, F., Villegas, O., Ramírez, D., Sánchez, V., Domínguez, H. Smart Multi-Level Tool for Remote Patient Monitoring Based on aWireless Sensor Network and Mobile Augmented Reality. J. Sens. 2014, 14, 17212-17234. [CrossRef] [PubMed]
118. Maciuca, A., Popescu, D., Strutu, M., Stamatescu, G. Wireless sensor network based on multilevel femtocells for home monitoring. In Proceedings of the IEEE International Conference on Intelligent Data Acquisition Advanced Computing Systems, Berlin, Germany, 12-14 September 2013.
119. Augustyniak, P. Adaptive architecture for assisted living systems. In Proceedings of the 6th International Conference on Human System Interaction, Sopot, Poland, 6-8 June 2013.
120. Shimokawara, E., Kaneko, T., Yamaguchi, T., Mizukawa, M., Matsuhira, N. Estimation of Basic Activities of Daily Living Using ZigBee 3D Accelerometer Sensor Network. In Proceedings of the IEEE International Conference on Biometrics and Kansei, Tokyo, Japan, 5-7 July 2013.
121. Bashir, F. Real life applicable fall detection system based on wireless body area network. In Proceedings of the IEEE Conference on Consumer Communications and Networking, Las Vegas, NV, USA, 11-14 January 2013.
122. Wang, X., Gui, Q., Liu, B., Chen, Y., Jin, Z. Leveraging Mobile Cloud for Telemedicine: A Performance Study in Medical Monitoring. In Proceedings of the 39th Bioengineering Conference, Syracuse, NY, USA, 5-7 April 2013.
123. Megalingam, R.K., Unnikrishnan, D.K.M., Radhakrishnan, V., Jacob, D.C. HOPE: An electronic gadget for home-bound patients and elders. In Proceedings of the IEEE India Conference, Kochi, India, 7-9 December 2012.
124. Lo, G., Gonzalez-Valenzuela, S., Leung, V.C.M. Automatic identification and placement verification of wearable wireless sensor nodes using atmospheric air pressure distribution. In Proceedings of the IEEE Conference on Consumer Communications and Networking, Las Vegas, NV, USA, 14-17 January 2012.
125. Wang, C., Wang, Q., Shi, S. A distributed wireless body area network for medical supervision. In Proceedings of the IEEE Conference on Instrumentation and Measurement Technology, Graz, Austria, 13-16 May 2012.
126. Manzoor, B., Javaid, N., Bibi, A., Khan, Z.A., Tahir, M. Noise Filtering, Channel Modeling and Energy Utilization in Wireless Body Area Networks. In Proceedings of the 3th International Symposium on Advances in Embedded Systems and Applications, Liverpool, UK, 25-27 June 2012.
127. Doukas, C.N., Maglogiannis, I. Emergency fall incidents detection in assisted living environments utilizing motion, sound, and visual perceptual components. IEEE Trans. Inf. Technol. Biomed. 2011, 15, 277-289. [CrossRef] [PubMed]
128. Steffen, D., Bleser, G., Weber, M., Stricker, D., Fradet, L., Marin, F. A Personalized Exercise Trainer for Elderly. In Proceedings of the 5th International Conference on Pervasive Computing Technologies for Healthcare, Dublin, Ireland, 23-26 May 2011.
129. Tolkiehn, M., Atallah, L., Lo, B., Yang, G.-Z. Direction sensitive fall detection using a triaxial accelerometer and a barometric pressure sensor. In Proceedings of the International Conference of Engineering in Medicine and Biology, Boston, MA, USA, 30 August-3 September 2011.
130. Doukas, C., Maglogiannis, I. ManagingWearable Sensor Data through Cloud Computing. In Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, Athens, Greece, 29 November-1 December 2011.
131. Megalingam, R.K., Radhakrishnan, V., Jacob, D.C., Unnikrishnan, D.K.M., Sudhakaran, A.K. Assistive technology for elders: Wireless intelligent healthcare gadget. In Proceedings of the IEEE Conference on Global Humanitarian Technology, Seattle, WA, USA, 30 October-1 November 2011.
132. Singh, K., Muthukkumarasamy, V. Using physiological signals for authentication in a group key agreement protocol. In Proceedings of the IEEE Conference on Computer Communications Workshop, Shanghai, China, 10-15 April 2011.
133. Sardini, E., Serpelloni, M., Ometto, M. Multi-parameters wireless shirt for Physiological Monitoring. In Proceedings of the IEEE International Workshop on Medical Measurements and Applications, Bari, Italy, 30-31 May 2011.
134. Rotariu, C., Costin, H., Andruseac, G., Ciobotariu, R., Adochiei, F. An integrated system for wireless monitoring of chronic patients and elderly people. In Proceedings of the 15th International Conference on System Theory Control and Computing, Sinaia, Romania, 14-16 October 2011.
135. Apostu, O., Hagiu, B., Pasca, S. Wireless ECG monitoring and alarm system using ZigBee. In Proceedings of the 7th International Symposium on Advanced Topics in Electrical Engineering, Bucharest, Romania, 12-14 May 2011.
136. Megalingam, R.K., Vineeth, R., Krishnan, M.U.D., Akhil, K.S., Jacob, D.C. Advancetid network based wireless, single PMS for multiple-patient monitoring. In Proceedings of the 13th International Conference on Advanced Communication Technology, Seoul, Korea, 13-16 February 2011.
137. Yan, H., Huo, H., Xu, Y., Gidlund, M. Wireless sensor network based E-health system?? implementation and experimental results. IEEE Trans. Consum. Electron. 2010, 56, 2288-2295. [CrossRef]
138. Farre, R., Papadopoulos, A., Munaro, G., Rosso, R. An Open, Ubiquitous and Adaptive Chronic Disease Management Platform for Chronic Respiratory and Renal Diseases (CHRONIOUS). In Proceedings of the International Conference on eHealth, Telemedicine and Social Medicine, Cancun, Mexico, 1-7 February 2010.
139. Lamprinakos, G., Kosmatos, E., Kaklamani, D., Venieris, I.S. An integrated architecture for remote healthcare monitoring. In Proceedings of the 14th Panhellenic Conference on Informatics, Tripoli, Libya, 10-12 September 2010.
140. el Sayed, M., Alsebai, A., Salaheldin, A., el Gayar, N., ElHelw, M. Body and visual sensor fusion for motion analysis in Ubiquitous healthcare systems. In Proceedings of the International Conference on Body Sensor Networks, Singapore, 7-9 June 2010.
141. Lv, Z., Xia, F., Wu, G., Yao, L., Chen, Z. iCare: A mobile health monitoring system for the elderly. In Proceedings of the IEEE International Conference on Green Computing and Communications, Hangzhou, China, 18-20 December 2010.
142. Jit, B., Maniyeri, J., Gopalakrishnan, K., Louis, S., Eugene, P.J., Palit, H.N., Siang, F.Y., Seng, L.L., Li, X. Processing of wearable sensor data on the cloud—A step towards scaling of continuous monitoring of health and well-being. In Proceedings of the International Conference of Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 31 August-4 September 2010.
143. Tahat, A.A. Mobile messaging services-based personal electrocardiogram monitoring system. Int. J. Telemed. Appl. 2010, 2010, 7. [CrossRef] [PubMed]
144. Friedman, R., Kogan, A., Krivolapov, Y. On power and throughput tradeoffs of wifi and bluetooth in smartphones. IEEE Trans. Mob. Comput. 2013, 12, 1363-1376. [CrossRef]
145. Pering, T., Agarwal, Y., Gupta, R., Power, C. Coolspots: Reducing the power consumption of wireless mobile devices with multiple radio interfaces. In Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, Uppsala, Sweden, 19-22 June 2006; pp. 220-232.
146. Bonnet, P., Beaufour, A., Dydensborg, M.B., Leopold, M. Bluetoothbased sensor networks. SIGMOD Rec. 2003, 32, 35-40. [CrossRef]
147. Mohan, P., Padmanabhan, V.N., Ramjee, R. Trafficsense: Rich Monitoring of Road and Traffic Conditions Using Mobile Smartphones, Microsoft, Technical Report MSR-TR-2008-59; Association for Computing Machinery, Inc.: New York, NY, USA, 2008.
148. Cano, J.-C., Cano, J.-M., Gonzalez, E., Calafate, C., Manzoni, P. Power characterization of a bluetooth-based wireless node for ubiquitous computing. In Proceedings of the 2006 International Conference onWireless and Mobile Communications, Bucharest, Romania, 29-31 July 2006.