Introduction

  • Guang-Zhong Yang
  • Omer Aziz
  • Richard Kwasnicki
  • Robert Merrifield
  • Ara Darzi
  • Benny Lo
Chapter

Abstract

Over the past decades, the miniaturisation and cost reduction brought about by the semiconductor industry have made it possible to create computers that are smaller in size than a pin head, powerful enough to carry out the processing required, and affordable enough to be considered disposable. This reduction in size and increase in processing capability will undoubtedly continue in future years, with new classes of computer or smart device emerging in every decade (Bell G, Commun ACM 51(1):86–94, 2008). Similarly, advances in wireless communication, sensor design, and energy storage technologies have meant that the concept of a truly pervasive Wireless Sensor Network (WSN) is rapidly becoming a reality (Bulusu N, Jha S, Wireless sensor network systems: a systems perspective. Artech House Publishers, 2005). Integrated microsensors no more than a few millimetres in size, with onboard processing and wireless data transfer capability are the basic components of such networks already in existence nearly a decade ago (Warneke et al, Computer 34(1):44–51, 2001; Kahn et al, Next century challenges: mobile networking for smart dust. In: Proceedings of the international conference on mobile computing and networking, Boston, MA, 2000). With rapid expansion of smart devices in recent years, many applications have been proposed for the use of WSNs and they are likely to change every aspect of our daily lives.

References

  1. 1.
    Bell G. Bell’s law for the birth and death of computer classes. Communications of the ACM 2008; 51(1):86–94.Google Scholar
  2. 2.
    Bulusu N, Jha S. Wireless sensor network systems: a systems perspective. Artech House Publishers, 2005.Google Scholar
  3. 3.
    Warneke B, Last M, Liebowitz B, Pister KSJ. Smart dust: communicating with a cubic-millimeter computer. Computer 2001; 34(1):44–51.Google Scholar
  4. 4.
    Kahn JM, Katz RH, Pister KSJ. Next century challenges: mobile networking for smart dust. In: Proceedings of the International Conference on Mobile Computing and Networking, Boston, MA, 2000.Google Scholar
  5. 5.
    Link JR, Sailor MJ. Smart dust: self assembling, self-organizing photonic crystals of porous Si. Proceedings of the National Academy of Sciences of the United States of America 2003; 100(19):10607–10610.Google Scholar
  6. 6.
    Culler S, Estrin D, Srivastava M. Overview of sensor networks. Computer 2004; 37(8):41–49.Google Scholar
  7. 7.
    HP, “Shell and HP advance seismic sensing capabilities”, http://www8.hp.com/us/en/hp-news/press-release.html?id=908010#.Uil03z_hH8p, 2011.
  8. 8.
    Spencer BF, Jr, Cho S, Sim SH. Wireless monitoring of civil infrastructure comes of age. Structure Magazine 2011:12–16.Google Scholar
  9. 9.
    Chan M, Campo E, Esteve D, Fourniols J-Y. Smart homes – current features and future perspectives. Maturitas 2009; 64:90–97.Google Scholar
  10. 10.
    Zhang S, McClean SI, Scotney BW. Probabilistic learning from incomplete data for recognition of activities of daily living in smart homes. IEEE Transactions on Information Technology in Biomedicine 2012; 16(3):252–462.Google Scholar
  11. 11.
    Mainwaring A, Polastre J, Szewczyk R, Culler D, Anderson J. Wireless sensor networks for habitat monitoring. In: Proceedings of the First ACM International Workshop on Wireless Sensor Networks and Applications, Atlanta, Georgia, USA, 2002; 88–97.Google Scholar
  12. 12.
    Lo BPL, Yang GZ. Key technical challenges and current Implementations of body sensor networks. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 1–5.Google Scholar
  13. 13.
    Markel H. The stethoscope and the art of listening. New England Journal of Medicine 2006; 354(6):551–553.Google Scholar
  14. 14.
    Tavel ME. Cardiac auscultation: a glorious past--and it does have a future! Circulation 2006; 113(9):1255–1259.Google Scholar
  15. 15.
    Fragasso G, Cuko A, Spoladore R, Montano C, Palloshi A, Silipigni C, et al. Validation of remote cardiopulmonary examination in patients with heart failure with a videophone-based system. 13 2007; 4(281–286):281–286.Google Scholar
  16. 16.
    Hond DE, Celis H, Vandenhoven G, O’Brien E, Staessen JA. Determinants of white-coat syndrome assessed by ambulatory blood pressure or self-measured home blood pressure. Blood Pressure Monitoring 2003; 8(1):37–40.Google Scholar
  17. 17.
    WHO. International Health Conference, New York 1948.Google Scholar
  18. 18.
    Charakida M, Masi S, Deanfield JE. The year in Cardiology 2012: focus on cardiovascular disease prevention. European Heart Journal 2013; 34(4):314–317.Google Scholar
  19. 19.
    Berry JD, Dyer A, Cai X, Garside DB, Ning H, Thomas A, et al. Lifetime risks of cardiovascular disease. New England Journal of Medicine 2012; 366(4):321–329.Google Scholar
  20. 20.
    Go AS, Hylek EM, Phillips KA, Chang Y, Henault LE, Selby JV, et al. Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) study. Journal of the American Medical Association 2001; 285(18):2370–2375.Google Scholar
  21. 21.
    Benjamin EJ, Wolf PA, D’Agostino RB, Silbershatz H, Kannel WB, Levy D. Impact of atrial fibrillation on the risk of death: the Framingham heart study. Circulation 1998; 98(10):946–952.Google Scholar
  22. 22.
    Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JLJ, et al. Seventh report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension 2003; 42(6):1206–1252.Google Scholar
  23. 23.
    Hunt SA, et al. ACC/AHA guidelines for the evaluation and management of chronic heart failure in the adult: executive summary a report of the American college of cardiology/American Heart Association task force on practice guidelines (committee to revise the 1995 guidelines for the evaluation and management of heart failure). Circulation 2001; 104(24):2996–3007.Google Scholar
  24. 24.
    Qureshi AI, Suri MF, Kirmani JF, Divani AA, Mohammad Y. Is prehypertension a risk factor for cardiovascular diseases? Stroke 2005; 36(9):1859–1863.Google Scholar
  25. 25.
    Brown AS. Lipid management in patients with diabetes mellitus. American Journal of Cardiology 2005; 96(4A):26–32.Google Scholar
  26. 26.
    Maldonado M, D’Amico S, Otiniano M, Balasubramanyam A, Rodriguez L, Cuevas E. Predictors of glycaemic control in indigent patients presenting with diabetic ketoacidosis. Diabetes, Obesity and Metabolism 2005; 7(3):282–289.Google Scholar
  27. 27.
    Rubin RR. Adherence to pharmacologic therapy in patients with type 2 diabetes mellitus. American Journal of Medicine 2005; 118(Suppl 5A):27S–34S.Google Scholar
  28. 28.
    Aziz O, Atallah L, Lo B, Gray E, Athanasiou T, Darzi A, et al. Ear-worn body sensor network device: an objective tool for functional postoperative home recovery monitoring. Journal of the American Medical Informatics Association 2011; 18(2):156–159.Google Scholar
  29. 29.
    Allen MG. Implantable micromachined wireless pressure sensors: Approach and clinical demonstration. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 40–43.Google Scholar
  30. 30.
    Butler RN. Population aging and health. British Medical Journal 1997; 315(7115):1082–1084.Google Scholar
  31. 31.
    Aronow WS, Ahn C. Elderly nursing home patients with congestive heart failure after myocardial infarction living in New York City have a higher prevalence of mortality in cold weather and warm weather months. Journals of Gerontology Series A: Biological Sciences and Medical Sciences 2004; 59(2):146–147.Google Scholar
  32. 32.
    Koken PJ, Piver WT, Ye F, Elixhauser A, Olsen LM, Portier CJ. Temperature, air pollution, and hospitalization for cardiovascular diseases among elderly people in Denver. Environmental Health Perspectives 2003; 111(10):1312–1317.Google Scholar
  33. 33.
    Dishongh T, Rhodes K, Needham B. Room to room location using wearable sensors for tracking social health of elders. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 18–20.Google Scholar
  34. 34.
    Kohl HW, Craig CL, Lambert EV, Inoue S, Alkandari JR, Leetongin G, et al. The pandemic of physical inactivity: global action for public health. Lancet 2012; 380(9838):294–305.Google Scholar
  35. 35.
    Gardner AW, Parker DE, Montgomery PS, Scott KJ, Blevins SM. Efficacy of quantified home-based exercise and supervised exercise in patients with intermittent claudication: a randomized controlled trial. Circulation 2011; 123(5):491–498.Google Scholar
  36. 36.
    Barry VW, McClain AC, Shuger S, Sui X, Hardin JW, Hand GA, et al. Using a technology-based intervention to promote weight loss in sedentary overweight or obese adults: a randomized controlled trial study design. Diabetes, Metabolic Syndrome and Obesity 2011; 4:67–77.Google Scholar
  37. 37.
    Pellegrini CA, Duncan JM, Moller AC, Buscemi J, Sularz A, DeMott A, et al. A smartphone-supported weight loss program: design of the ENGAGED randomized controlled trial. BMC Public Health 2012; 12(1041).Google Scholar
  38. 38.
    Dolan P, Hallsworth M, Halpern., King D, Vlaev I. Influencing behaviour through public policy. Institute for Government and the Cabinet Office, UK 2010.Google Scholar
  39. 39.
    McKnight-Eily LR, Eaton DK, Lowry R, Croft JB, Presley-Cantrell L, Perry GS. Relationships between hours of sleep and health-risk behaviors in US adolescent students. Preventive Medicine 2011; 53(4–5):271–273.Google Scholar
  40. 40.
    Cappuccio FP, Taggart FM, Kandala NB, Currie A, Peile E, Stranges S, et al. Meta-analysis of short sleep duration and obesity in children and adults. Sleep 2008; 31(5):619–626.Google Scholar
  41. 41.
    Dahl R, Lewin D. Sleep disturbance in children and adolescents with disorders of development: Its significance and management. London, United Kingdom: Mac Keith Press, 2001.Google Scholar
  42. 42.
    O’Driscoll DM, Turton AR, Copland JM, Strauss BJ, Hamilton GS. Energy expenditure in obstructive sleep apnea: validation of a multiple physiological sensor for determination of sleep and wake. Sleep Breath 2013; 17(1):139–146.Google Scholar
  43. 43.
    Krauchi K. The human sleep-wake cycle reconsidered from a thermoregulatory point of view. Physiology and Behavior 2007; 90(2–3):236–245.Google Scholar
  44. 44.
    Krejcar O, Jirka J, Janckulik D. Use of mobile phones as intelligent sensors for sound input analysis and sleep state detection. Sensors 2011; 11(6):6037–6055.Google Scholar
  45. 45.
    Chouvarda I, Koutkias V, Malousi A, Maglaveras N. Grid-enabled biosensor networks for pervasive healthcare. Studies in Health Technology and Informatics 2005; 112:90–99.Google Scholar
  46. 46.
    Rubel P, Fayn J, Simon-Chautemps L, Atoui H, Ohlsson M, Telisson D, et al. New paradigms in telemedicine: ambient intelligence, wearable, pervasive and personalized. Studies in Health Technology and Informatics 2004; 108:123–132.Google Scholar
  47. 47.
    Wang L, Johannessen EA, Hammond PA, Cui L, Reid SW, Cooper JM, et al. A programmable microsystem using system-on-chip for real-time biotelemetry. IEEE Transactions on Biomedical Engineering 2005; 52(7):1251–1260.Google Scholar
  48. 48.
    Jovanov E, Milenkovic A, Otto C, de Groen PC. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation. Journal of NeuroEngineering and Rehabilitation 2005; 2(6).Google Scholar
  49. 49.
    Shantaram A, Beyenal H, Raajan R, Veluchamy A, Lewandowski Z. Wireless sensors powered by microbial fuel cells. Environmental Science and Technology 2005; 39(13):5037–5042.Google Scholar
  50. 50.
    Arshak A, Arshak K, Waldron D, Morris D, Korostynska O, Jafer E, et al. Review of the potential of a wireless MEMS and TFT microsystems for the measurement of pressure in the GI tract. Medical Engineering and Physics 2005; 27(5):347–356.Google Scholar
  51. 51.
    Paradiso R, Loriga G, Taccini N. Wearable system for vital signs monitoring. Studies in Health Technology and Informatics 2004; 108:253–259.Google Scholar
  52. 52.
    Borkar S. Design challenges of technology scaling. IEEE Micro 1999; 19(4):23–29.Google Scholar
  53. 53.
    Holloway RH. Capsule pH monitoring: is wireless more? GUT 2005; 54(12):1672–1673.Google Scholar
  54. 54.
    Pandolfino JE, Richter JE, Ours T, Guardino JM, Chapman J, Kahrilas PJ. Ambulatory esophageal pH monitoring using a wireless system. The American Journal of Gastroenterology 2003; 98:740–749.Google Scholar
  55. 55.
    Vo-Dinh T. Biosensors, nanosensors and biochips: frontiers in environmental and medical diagnostics. In: Proceedings of the First International Symposium on Micro and Nano Technology, Hawaii, 2004; 1–6.Google Scholar
  56. 56.
    Morrell MJ. Responsive cortical stimulation for the treatment of medically intractable partial epilepsy. Neurology 2011; 77:1295–1304.Google Scholar
  57. 57.
    Culliford DJ, Maskell J, Beard DJ, Murray DW, Price AJ, Arden NK. Temporal trends in hip and knee replacement in the United Kingdom: 1991 to 2006. Journal of Bone and Joint Surgery 2010; 92(1):130–135.Google Scholar
  58. 58.
    Dalury DF, Pomeroy DL, Gorab RS, Adams MJ. Why are total knee arthroplasties being revised? The Journal of Arthroplasty 2013.Google Scholar
  59. 59.
    Garg SK, Schwartz S, Edelman SV. Improved glucose excursions using an implantable real-time continuous glucose sensor in adults with type 1 diabetes. Diabetes Care 2004; 27(3):734–738.Google Scholar
  60. 60.
    Steil GM, Panteleon AE, Rebrin K. Closed-loop insulin delivery-the path to physiological glucose control. Advanced Drug Delivery Reviews 2004; 56(2):125–144.Google Scholar
  61. 61.
    Ward WK, Wood MD, Casey HM, Quinn MJ, Federiuk IF. An implantable subcutaneous glucose sensor array in ketosis-prone rats: closed loop glycemic control. Artificial Organs 2005; 29(2):131–143.Google Scholar
  62. 62.
    Brown JQ, Srivastava R, McShane MJ. Encapsulation of glucose oxidase and an oxygen-quenched fluorophore in polyelectrolyte-coated calcium alginate microspheres as optical glucose sensor systems. Biosensors and Bioelectronics 2005; 21(1):212–216.Google Scholar
  63. 63.
    Najafi N, Ludomirsky A. Initial animal studies of a wireless, batteryless, MEMS implant for cardiovascular applications. Biomedical Microdevices 2004; 6(1):61–65.Google Scholar
  64. 64.
    Grayson RAC, Shawgo RS, Li Y, Cima MJ. Electronic MEMS for triggered delivery. Advanced Drug Delivery Reviews 2004; 56(2):173–184.Google Scholar
  65. 65.
    Bogue R. MEMS sensors: past, present and future. Sensor Review 2007; 27(1):7–13.Google Scholar
  66. 66.
    Xia YN, Whitesides GM. Soft lithography. Annual Review of Materials Science 1998; 28:153–184.Google Scholar
  67. 67.
    Fedder GK, Howe RT, Liu TJK, Quevy EP. Technologies for cofabricating MEMS and electronics. Proceedings of the IEEE 2008; 96(2):306–322.Google Scholar
  68. 68.
    Lavrik NV, Sepaniak MJ, Datskos PG. Cantilever transducers as a platform for chemical and biological sensors. Review of Scientific Instruments 2004; 75(7):2229–2253.Google Scholar
  69. 69.
    Yazdi N, Ayazi F, Najafi K. Micromachined inertial sensors. Proceedings of the IEEE 1998; 86(8):1640–1659Google Scholar
  70. 70.
    Alper SE, Akin T. A single-crystal silicon symmetrical and decoupled MEMS gyroscope on an insulating substrate. Journal of Microelectromechanical Systems 2005; 14(4):707–717.Google Scholar
  71. 71.
    Barlian AA, Park WT, Mallon JR, Rastegar AJ, Beth LP. Review: semiconductor piezoresistance for Microsystems. Proceedings of the IEEE 2009; 97(3):513–552.Google Scholar
  72. 72.
    Lemkin M, Bose BE. A three-axis micromachined accelerometer with a CMOS position-sense interface and digital offset-trim electronics. IEEE Journal of Solid-State Circuits 1999; 34(4):456–468.Google Scholar
  73. 73.
    Lange K, Rapp BE, Rapp M. Surface acoustic wave biosensors: a review. Analytical and Bioanalytical Chemistry 2008; 391(5):1509–1519.Google Scholar
  74. 74.
    Badilescu S, Packirisamy M. BioMEMS: science and engineering perspectives. CRC Press, 2011.Google Scholar
  75. 75.
    Chin CD, Linder V, Sia SK. Lab-on-a-chip devices for global health: Past studies and future opportunities. Lab on a Chip 2007; 7(1):41–57.Google Scholar
  76. 76.
    Hierlemann A, Brand O, Hagleitner C, Baltes H. Microfabrication techniques for chemical/biosensors. Proceedings of IEEE 2003; 91(6):839–863.Google Scholar
  77. 77.
    Foulds NC, Lowe CR. Enzyme entrapment in electrically conducting polymers – immobilization of glucose oxidase in polypyrole and its application in amperometric glucose sensors. Journal of the Chemical Society – Faraday Transactions 1 1986; 82:1259–1264.Google Scholar
  78. 78.
    Fritz J, Baller MK, Lang HP, Rothuizen H, Vettiger P, Meyer E, et al. Translating biomolecular recognition into nanomachines. Science 2000; 288(5464):316–318.Google Scholar
  79. 79.
    Stutzmann M, Garrido JA, Erickhoff M, Brandt MS. Direct biofunctionalization of semiconductors: A survey Physica Status Solidi A-Applications and Materials Science 2006; 203(14):3424–3437.Google Scholar
  80. 80.
    Ariga K, Nakanishi T, Michinobu T. Immobilization of biomaterials to nano-assembled films (self-assembled monolayers, Langmuir-Blodgett films, and layer-by-layer assemblies) and their related functions. Journal of Nanoscience and Nanotechnology 2006; 6(8):2278–2301.Google Scholar
  81. 81.
    Grieshaber D, Mackenzie R, Voros J, Reimhult E. Electrochemical biosensors – Sensor principles and architectures. Sensors 2008; 8(3):1400–1458.Google Scholar
  82. 82.
    Lee CS, Kim SK, Kim MH. Ion-selective field-effect transistor for biological sensing. Sensors 2009; 9(9):7111–7131.Google Scholar
  83. 83.
    Homola J, Yee SS, Gauglitz G. Surface plasmon resonance sensors: review. Sensors and Actuators B – Chemical 1999; 54(1–2):3–15Google Scholar
  84. 84.
    Bashir R. BioMEMS: state-of-the-art in detection, opportunities and prospects. Advanced Drug Delivery Reviews 2004; 56:1565–1586.Google Scholar
  85. 85.
    Trohman RG, Kim MH, Pinski SL. Cardiac pacing: the state of the art. Lancet 2004; 364(9446):1701–1719.Google Scholar
  86. 86.
    National pacemaker and ICD database. UK and Ireland. Annual Report 2000.Google Scholar
  87. 87.
    Parkes J, Bryant J, Milne R. Implantable cardioverter defibrillators: arrhythmias. A rapid and systematic review. Health Technology Assessment 2000; 87(5):438–442.Google Scholar
  88. 88.
    Turk DC. Clinical effectiveness and cost-effectiveness of treatments for patients with chronic pain. Clinical Journal of Pain 2002; 18(6):355–365.Google Scholar
  89. 89.
    Sheldon R, Kiff ES, Clarke A, Harris ML, Hamdy S. Sacral nerve stimulation reduces corticoanal excitability in patients with faecal incontinence. British Journal of Surgery 2005; 92(11):1423–1431.Google Scholar
  90. 90.
    Benabid AL, Krack PP, Benazzouz A, Limousin P, Koudsie A, Pollak P. Deep brain stimulation of the subthalamic nucleus for Parkinson’s disease: methodologic aspects and clinical criteria. Neurology 2000; 55(12 Suppl 6):S40–44.Google Scholar
  91. 91.
    Chabardes S, Kahane P, Minotti L, Koudsie A, Hirsch E, Benabid AL. Deep brain stimulation in epilepsy with particular reference to the subthalamic nucleus. Epileptic Disorders 2002; 4 Suppl 3:S83–93.Google Scholar
  92. 92.
    Rosenow JM, Tarkin H, Zias E, Sorbera C, Mogilner A. Simultaneous use of bilateral subthalamic nucleus stimulators and an implantable cardiac defibrillator. Case report. Journal of Neurosurgery 2003; 99(1):167–169.Google Scholar
  93. 93.
    Black RD. Recent advances in translational work on implantable sensors. IEEE Sensors Journal 2011; 11(12):3171–3182.MathSciNetGoogle Scholar
  94. 94.
    Weiler A, Hoffmann RFG, Säthelin AC, Helling HJ, Südkamp NP. Biodegradable implants in sports medicine: the biological case. Arthroscopy. The Journal of Arthroscopic and Related Surgery 2000; 16(3):305–321.Google Scholar
  95. 95.
    Yetkin H, Senkoylu A, Cila E, Ozturk AM, Simsek A. Biodegradable implants in orthopaedics and traumatology. Turkish Journal of Medical Sciences 2000; 30:297–301.Google Scholar
  96. 96.
    Hwang S-W, Tao H, Kim D-H, Cheng H, Song J-K, Rill E, et al. A physically transient form of silicon electronics. Science 2012; 337:1640–1644.Google Scholar
  97. 97.
    Hwang S-W, Huang X, Seo J-H, Song J-K, Kim S, Hage-Ali S, et al. Materials for bioresorbable radio frequency electronics. Advanced Materials 2013; 25(26):3526–3531.Google Scholar
  98. 98.
    Alomainy A, Owadally AS, Hao Y, Parini CG, Nechayev YI, Constantinou CC, et al. Body-centric WLANs for future wearable computers. In: Proceedings of the First International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2004.Google Scholar
  99. 99.
    Guyomar D, Badel A, Lefeuvre E, Richard C. Toward energy harvesting using active materials and conversion improvement by nonlinear processing. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 2005; 52(4):584–595.Google Scholar
  100. 100.
    Mitcheson PD, Green TC, Yeatman EM, Holms AS. Architectures for vibration-driven micropower generators. IEEE Journal of Microelectromechanical Systems 2004; 13(3):429–440.Google Scholar
  101. 101.
    Otis B, Chee YH, Rabaey J. A 400uW Rx, 1.6mW Tx super-regenerative transceiver for wireless sensor networks. In: Proceedings of the IEEE International Solid Circuits Conference, CA, USA, 2005.Google Scholar
  102. 102.
    Neirynck D, Williams C, Nix AR, Beach MA. Wideband channel characterisation for body and personal area networks. In: Proceedings of the First International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2004.Google Scholar
  103. 103.
    Yakovlev A, Kim S, Poon AS. Implantable biomedical devices: wireless powering and communication. IEEE Communications Magazine 2012; 5(4):152–159.Google Scholar
  104. 104.
    Kim S, Ho JS, Chen LY, Poon AS. Wireless power transfer to a cardiac implant. Applied Physics Letters 2012; 101(7).Google Scholar
  105. 105.
    Karami MA, Inman DJ. Powering pacemakers from heartbeat vibrations using linear and nonlinear energy harvesters. Applied Physics Letters 2012; 100(4).Google Scholar
  106. 106.
    Denisov A, Yeatman EM. Stepwise microactuators powered by ultrasonic transfer. Procedia Engineering 2011; 25:685–688Google Scholar
  107. 107.
    Xu S, Qin Y, Xu C, Wei Y, Yang R, Wang ZL. Self-powered nanowire devices. Nature Nanotechnology 2010; 5:366–373.Google Scholar
  108. 108.
    Au-Yeung KY, Moon GD, Robertson TL, Dicarlo LA, Epstein MS, Weis SE, et al. Early clinical experience with networked system for promoting patient self-management. American Journal of Managed Care 2011; 17(7):e277–287.Google Scholar
  109. 109.
    Heinzel A, Hebling C, Muller M, Zedda M, Muller C. Fuel cells for low power applications. Journal of Power Sources 2002; 105:250–255.Google Scholar
  110. 110.
    Dyer CK. Fuel cells for portable applications. Journal of Power Sources 2002; 106:31–34.Google Scholar
  111. 111.
    McGrath KM, Prakash GKS, Olah GA. Direct methanol fuel cells. Journal of Industrial and Engineering Chemistry 2004; 10:1063–1080.Google Scholar
  112. 112.
    Shao Z, Haile SM, Ahn J, Ronney PD, Zhan Z, Barnett SA. A thermally self-sustained micro solid-oxide fuel-cell stack with high power density. Nature 2005; 435(7043):795–798.Google Scholar
  113. 113.
    Sasaki S, Karube I. The development of microfabricated biocatalytic fuel cells. Trends in Biotechnology 1999; 17(2):50–52.Google Scholar
  114. 114.
    Soukharev V, Mano N, Heller A. A four-electron O (2)-electroreduction biocatalyst superior to platinum and a biofuel cell operating at 0.88 V. Journal of the American Chemistry Society 2004; 126(27):8368–8369.Google Scholar
  115. 115.
    Arra S, Heinisuo S, Vanhala J. Acoustic power transmission into an implantable device. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 60–64.Google Scholar
  116. 116.
    Lee SL, Ali K, Brizzi A, Keegan J, Hao Y, Yang GZ. A whole body statistical shape model for radio frequency simulation. In: Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA. USA, 2011; 7143–7146.Google Scholar
  117. 117.
    Hamdi M, Boudriga N, Abie H, Denko M. Secure wearable and implantable body sensor networks in hazardous environments. In: Proceedings of the International Conference on Data Communication Networking, Athens, Greece, 2010; 1–8.Google Scholar
  118. 118.
    Daniluk K, NiewiadomskaSzynkiewicz E. Energy-efficient security in implantable medical devices. In: Proceedings of the Federated Conference on Computer Science and Information Systems, Wrocław, Poland, 2012; 773–778.Google Scholar
  119. 119.
    Zhou L, Hass ZJ. Securing ad hoc networks. IEEE Network Magazine 1999; 13(6):24–30.Google Scholar
  120. 120.
    Ganesan D, Govindan R, Shenker S, Estrin D. Highly-resilient, energy-efficient multipath routing in wireless sensor networks. Mobile Computing and Communication Review 2002; 1(2):28–36.Google Scholar
  121. 121.
    Cherukuri S, Venkatasubramanian KK, Gupta SKS. BioSec: a biometric based approach for securing communication in wireless networks of biosensors implanted in the human body. In: Proceedings of the International Conference on Parallel Processing Workshops, Kaohsiung, Taiwan, 2003; 432–439.Google Scholar
  122. 122.
    El-Bendary N, Tan Q, Pivot FC, Lam A. Fall detection and prevention for the elderly: A review of trends and challenges. International Journal on Smart Sensing and Intelligent Systems 2013; 6(3):1230–1266.Google Scholar
  123. 123.
    Poh MZ, Swenson NC, Picard RW. A wearable sensor for unobtrusive, long-term assessment of electrodermal activity. IEEE Transactions on Biomedical Engineering 2010; 57(5):1243–1252Google Scholar
  124. 124.
    Patterson D, Fox D, Kautz H, Philipose M. Expressive, tractable and scalable techniques for modeling activities of daily living. In: Proceedings of the Second International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications, Seattle, Washington, USA, 2003.Google Scholar
  125. 125.
    Philipose M, Fishkin KP, Perkowitz M, Patterson DJ, Fox D, Kautz H, et al. Inferring activities from interactions with objects. IEEE Pervasive Computing 2004; 3(4):50–57.Google Scholar
  126. 126.
    Kautz H, Etziono O, Fox D, Weld D. Foundations of assisted cognition systems. Department of Computer Science and Engineering, University of Washington, CSE-020AC-01, 2003.Google Scholar
  127. 127.
    Ravi N, Dandekar N, Mysore P, Littman ML. Activity recognition from accelerometer data. In: Proceedings of the Seventeenth Annual Conference on Innovative Applications of Artificial 2005.Google Scholar
  128. 128.
    Najafi B, Aminian K, Paraschiv-Ionescu A, Loew F, Bula CJ, Robert P. Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly. IEEE Transactions on Biomedical Engineering 2003; 50(6):711–723.Google Scholar
  129. 129.
    Sung M, Pentland A. Minimally-invasive physiological sensing for human-aware interfaces. In: Proceedings of Human-Computer Interaction International, Las Vegas, Nevada, USA, 2005.Google Scholar
  130. 130.
    Bourke AK, Lyons GM. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor. Medical Engineering and Physics 2008; 30:84–90.Google Scholar
  131. 131.
    Thiemjarus S, Marukatat S, Poomchoompol P. A method for shoulder range-of-motion estimation using a single wireless sensor node. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 2013.Google Scholar
  132. 132.
    Tanyawiwat N, Thiemjarus S. Design of an assistive communication glove using combined sensory channels. In: Proceedings of the International Conference on Wearable and Implantable Body Sensor Networks, London, UK, 2012.Google Scholar
  133. 133.
    King R, Atallah L, Lo B, Yang GZ. Development of a wireless sensor glove for surgical skills assessment. IEEE Transactions of Information Technology in Biomedicine 2009; 13(5):673–679.Google Scholar
  134. 134.
    Siuru B, “Applying acoustic monitoring to medical diagnostics applications”, Sensor Magazine, http://www.sensorsmag.com/articles/0397/acoustic/index.htm, 1997.
  135. 135.
    Liu J, Johns E, Attallah L, Pettitt C, Lo B, Frost G, et al. An intelligent food-intake monitoring system using wearable sensors. In: Proceedings of the Ninth International Conference on Wearable and Implantable Body Sensor Networks, London, UK, 2012; 154–160Google Scholar
  136. 136.
    Liden CB, Wolowicz M, Stivoric J, Teller A, Kasabach C, Vishnubhatla S, et al., Characterization and implications of the sensors incorporated into the SenseWear armband for energy expenditure and activity detection, www.bodybugg.com/pdf/Sensors.pdf.
  137. 137.
    Asada HH, Shaltis P, Reisner A, Rhee S, Hutchinson RC. Mobile monitoring with wearable photoplethysmographic biosensors. IEEE Engineering in Medicine and Biology Magazine 2003; 22(3):28–40.Google Scholar
  138. 138.
    Heller A. Drug-delivering integrated therapeutic systems. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 6–11.Google Scholar
  139. 139.
    Giorgiou J, Toumazou C. A 126 microWatt cochlear chip for a totally implantable system. IEEE Journal of Solid-State Circuits 2005; 40(2):430–443.Google Scholar
  140. 140.
    Abidi SS, Goh A. A personalised healthcare information delivery system: pushing customised healthcare information over the WWW. Studies in Health Technology and Informatics 2000; 77:663–667.Google Scholar
  141. 141.
    Backadar T. Ambulatory monitoring-embeddable, wearable, “its all about fashion” studies in wearable electronics. In: Proceedings of the Second International Workshop on Wearable and Implantable Body Sensor Networks, London, UK, 2005; 79–81.Google Scholar
  142. 142.
    Haes AJ, Chang L, Klein WL, Van Duyne RP. Detection of a biomarker for Alzheimer’s disease from synthetic and clinical samples using a nanoscale optical biosensor. Journal of the American Chemistry Society 2005; 127(7):2264–2271.Google Scholar
  143. 143.
    Koh DM, Brown G, Temple L, Raja A, Toomey P, Bett N, et al. Rectal cancer: mesorectal lymph nodes at MR imaging with USPIO versus histopathologic findings--initial observations. Radiology 2004; 231(1):91–99.Google Scholar
  144. 144.
    Medintz IL, Clapp AR, Mattoussi H, Goldman ER, Fisher B, Mauro JM. Self-assembled nanoscale biosensors based on quantum dot FRET donors. Nature Materials 2003; 2(9):630–638.Google Scholar
  145. 145.
    Wang J. Nanomachines: fundamentals and applications. Wiley-VCH, 2013.Google Scholar
  146. 146.
    Campuzano S, Orozco J, Kagan D, Guix M, Gao W, Sattayasamitsathit S, et al. Bacterial isolation by lectin-modified microengines. Nano Letters 2012; 12(1):396–401.Google Scholar
  147. 147.
    Martel S. Journey to the center of a tumor. IEEE Spectrum 2012; 49(10):49–53.Google Scholar

Copyright information

© Springer-Verlag London 2014

Authors and Affiliations

  • Guang-Zhong Yang
    • 1
  • Omer Aziz
    • 1
  • Richard Kwasnicki
    • 1
  • Robert Merrifield
    • 1
  • Ara Darzi
    • 1
  • Benny Lo
    • 1
  1. 1.The Hamlyn CentreImperial College LondonLondonUK

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