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Cited by 556Wireless Body Area NetworksNon-Invasive Vital Sign MonitoringWireless Sensor Networks for Data Analysis

Wearable and implantable wireless sensor network solutions for healthcare monitoring

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Darwish, Ashraf, Hassanien, Aboul Ella·2011·Sensors
DOI 10.3390/s110605561PMC PMC3231450
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Abstract

Wireless sensor network (WSN) technologies are considered one of the key research areas in computer science and the healthcare application industries for improving the quality of life. The purpose of this paper is to provide a snapshot of current developments and future direction of research on wearable and implantable body area network systems for continuous monitoring of patients. This paper explains the important role of body sensor networks in medicine to minimize the need for caregivers and help the chronically ill and elderly people live an independent life, besides providing people with quality care. The paper provides several examples of state of the art technology together with the design considerations like unobtrusiveness, scalability, energy efficiency, security and also provides a comprehensive analysis of the various benefits and drawbacks of these systems. Although offering significant benefits, the field of wearable and implantable body sensor networks still faces major challenges and open research problems which are investigated and covered, along with some proposed solutions, in this paper.

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  • Computational tasks are typically offloaded to an external computer to mitigate the implant's power consumption.

    “To compensate, computational tasks are typically offloaded to an external computer, mitigating the implant’s power consumption (Darwish and Hassanien, 2011).”

    From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Darwish and Hassanien, 2011

    The ‘Energy of Batteries’ section identifies power consumption as a challenge, but does not say that implant computations are typically moved to an external computer. A search for offloading and external processing found no passage establishing that practice; the ‘Background and Overview’ section instead describes sensor nodes performing simple computations locally. Our copy therefore does not verify the attributed claim. (LLM, conf=0.72)

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  1. [3]Stanford V Using pervasive computing to deliver elder care IEEE Pervasive Comput 2002 1 10 13
  2. [4]Mcfadden T Indulska J Context-aware environments for independent living Proceedings of the 3rd National Conference of Emerging Researchers in Ageing Brisbane, Australia December 2004 1 6
  3. [5]Leonov V Fiorini P Sedky S Torfs T van Hoof C Thermoelectric MEMS generators as a power supply for a body area network Proceedings of the 13th International Conference on Solid-State Sensors, Actuators and Microsystems Seoul, Korea 5–9 June 2005 291 294
  4. [6]Intanagonwiwat C Govindan R Estrin D Directed diffusion: A scalable and robust communication paradigm for sensor networks Proceedings of the ACM MobiCom’00 Boston, MA, USA August 2000 56 67
  5. [7]Mohseni P Najafi K A 1.48-mw low-phase-noise analog frequency modulator for wireless biotelemetry IEEE Trans. Biomed. Eng 2005 52 938 943 15887544
  6. [9]Troyk P Schwan M Closed-loop class E transcutaneous power and data link for microimplants IEEE Trans. Biomed. Eng 1992 39 589 599 1601440
  7. [10]Mohseni P Najafi K Eliades S Wang X Wireless multichannel biopotential recording using an integrated FM telemetry circuit IEEE Trans. Neural Syst. Rehabil. Eng 2005 13 263 271 16200750
  8. [11]Neihart N Harrison R Micropower circuits for bidirectional wireless telemetry in neural recording applications IEEE Trans. Biomed. Eng 2005 52 1950 1959 16285399
  9. [12]Tang Q Tummala N Gupta S Schwiebert L Communication scheduling to minimize thermal effects of implanted biosensor networks in homogeneous tissue IEEE Trans. Biomed. Eng 2005 52 1285 1294 16041992
  10. [13]Jovanov E Milenkovic A Otto C de Groen P A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation J. Neuroeng. Rehabil 2005 1 2 6 PMC552302 15740621
  11. [15]Braem B Latre B Moerman I Blondia C Demeester P The wireless autonomous spanning tree protocol for multihop wireless body area networks Proceedings of the 3rd Annual International Conference on Mobile and Ubiquitous Systems—Workshops San Jose, CA, USA July 2006 1 8
  12. [16]Latre B Braem B Moerman I Blondia C Reusens E Joseph W Demeester P A low-delay protocol for multihop wireless body area networks Proceedings of the 4th Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services Philadelphia, PA, USA 6–10 August 2007 1 8
  13. [17]Anliker U Ward JA Lukowicz P Troster G Dolveck F Baer M Keita F Schenker E Catarsi F Coluccini L Belardinelli A Shklarski D Alon M Hirt E Schmid R Vuskovic M AMON: A wearable multi parameters medical monitoring and alert system IEEE Trans. Inf. Technol. Biomed 2004 8 1 11 15615032
  14. [18]Quwaider M Biswas S DTN routing in body sensor networks with dynamic postural partitioning Ad Hoc Netw 2010 8 824 841 PMC4269944 25530740
  15. [20]Mark AH Harry CP Jr Adam TB Kyle R Benton HC James HA John L Body Area Sensor Networks: Challenges and Opportunities IEEE Computer Society Atlantic City, NJ, USA 2009 58 65
  16. [21]Ambient Intelligence: Impact on Embedded System Design Basten T Geilen M De Groot H Springer Berlin, Germany 2003 51 67
  17. [22]Ambient Intelligence Weber W Rabaey JM Aarts E Springer Berlin, Germany 2005 499 508
  18. [23]Culler D Estrin D Srivastava M Overview of sensor networks IEEE Comput 2005 37 41 49
  19. [24]Zhao F Guibas L Wireless Sensor Networks: An Information Processing Approach Morgan Kaufmann Los Altos, CA, USA 2004 240 245
  20. [25]Romer K Mattern F The design space of wireless sensor networks IEEE Wirel. Commun 2004 6 11 54
  21. [26]Stankovic JA Abdelzaher TE Lu C Sha L Hou JC Real-time communication and coordination in embedded sensor networks Proc. IEEE 2003 91 1002 1022
  22. [28]Intanagonwiwat C Govindan R Estrin D Directed diffusion: A scalable and robust communication paradigm for sensor networks Proceedings of the ACM Mobi-Com’00 Boston, MA, USA August 2000 56 67
  23. [29]Szewczyk R Osterweil E Polastre J Hamilton M Mainwaring A Estrin D Habitat monitoring with sensor networks Commun. ACM 2004 6 34 40
  24. [30]Burrell J Brooke T Beckwith R Vineyard computing: Sensor networks in agricultural production IEEE Pervasive Comput 2004 1 38 45
  25. [31]Jovanov E Price J Raskovic D Kavi K Martin T Adhami R Wireless personal area networks in telemedical environment Proceedings of the Third International Conference on Information technology in Biomedicine (ITAB-ITIS2000) Arlington, VA, USA November 2000 22 27
  26. [32]Jovanov E Lords A Raskovic D Cox P Adhami R Andrasik F Stress monitoring using a distributed wireless intelligent sensor system IEEE Eng. Med. Biol. Mag 2003 22 49 55 12845819
  27. [33]Jovanov E Milenkovic A Otto C de Groen PC A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation JNER 2005 1 2 6 PMC552302 15740621
  28. [35]Kahn JM Katz RH Pister KSJ Next century challenges: Mobile networking for smart dust Proceedings of the ACM MobiCom’99 Washington, DC, USA August 1999 271 278
  29. [36]Noury N Herve T Rialle V Virone G Mercier E Morey G Moro A Porcheron T Monitoring behavior in home using a smart fall sensor Proceedings of IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology Lyon, France 12–14 October 2000 607 610
  30. [37]Benhaddou D Balakrishnan M Yuan X Remote healthcare monitoring system architecture using sensor networks Proceedings of IEEE Region 5 Conference Kansas City, MO, USA April 2008 1 6
  31. [38]Sinha A Chandrakasan A Dynamic power management in wireless sensor networks IEEE Des. Test Comput 2001 18 62 74
  32. [39]Noury N Herve T Rialle V Virone G Mercier E Morey G Moro A Porcheron T Monitoring behavior in home using a smart fall sensor Proceedings of IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology Lyon, France 12–14 October 2000 607 610
  33. [42]Quwaider M Biswas S Body posture identification using hidden Markov model with a wearable sensor network Proceedings of the ICST 3rd International Conference on Body Area Networks Tempe, AZ, USA March 2008 1 8
  34. [44]Quwaider M Biswas S Body posture identification using hidden Markov model with a wearable sensor network Proceedings of the ICST 3rd International Conference on Body Area Networks Tempe, AZ, USA March 2008 1 8
  35. [49]Binkley P Predicting the potential of wearable technology IEEE Eng. Med. Biol. Mag 2003 22 23 24
  36. [50]Lymberis A Gatzoulis L Wearable Health Systems: From Smart Technologies to Real Applications IEEE Engineering in Medicine and Biology Society New York, NY, USA 2006 6789 6792 17959513
  37. [51]Pacelli M Loriga G Taccini N Paradiso R Sensing Fabrics Formonitoring Physiological and Biomechanical Variables: E-Textile Solutions IEEE Engineering in Medicine and Biology Society New York, NY, USA 2006 392 395
  38. [52]Paradiso R Loriga G Taccini N A wearable health care system based on knitted integrated sensors IEEE Trans. Inf. Technol. B 2005 9 337 344 16167687
  39. [53]Paradiso R Loriga G Taccini N Wearable system for vital signs monitoring Studies in Health Technology and Informatics—State of the Art and Future Challenges Lymberis A de Rossi D IOS Press Amsterdam, The Netherlands 2004 353 15718653
  40. [55]Diamond D Coyle S Scarmagnani S Hayes J Wireless sensor networks and chemo-biosensing Chem. Rev 2008 108 652 679 18215076
  41. [58]Pandian PS Mohanavelu K Safeer KP Kotresh TM Shakunthala DT Gopal P Padaki VC Smart vest: Wearable multi-parameter remote physiological monitoring system Med. Eng. Phys 2007 30 466 477 17869159
  42. [59]Halin N Junnila M Loula P Aarnio P The Life Shirt system for wireless patient monitoring in the operating room J. Telemed. Telecare 2005 11 41 43 16375793
  43. [60]Mundt W Montgomery KN Udoh UE Barker VN Thonier GC Tellier AM Ricks RD Darling RB Cagle YD Cabrol NA Ruoss SJ Swain JL Hines JW Kovacs GTA A multiparameter wearable physiologic monitoring system for space and terrestrial applications IEEE Trans. Inf. Technol. Biomed 2005 9 382 391 16167692
  44. [64]Shults MC Rhodes RK Updike SJ Gilligan BJ Reining WN A telemetryinstrumentation system for monitoring multiple subcutaneously implanted glucose sensors IEEE Trans. Biomed. Eng 1994 41 937 942 7959800
  45. [65]Santhisagar V Ioannis T Diane JB Faquir CJ Fotios P Emerging synergy between nanotechnology and implantable biosensors: A review Biosens. Bioelectron 2010 25 1553 1565 20042326 PMC2846767
  46. [66]Mohseni P Najafi K A 1.48-mw low-phase-noise analog frequency modulator for wireless biotelemetry IEEE Trans. Biomed. Eng 2005 52 938 943 15887544
  47. [67]Tang Q Tummala N Gupta S Schwiebert L Communication scheduling to minimize thermal effects of implanted biosensor networks in homogeneous tissue IEEE Trans. Biomed. Eng 2005 52 1285 1294 16041992
  48. [68]Jovanov E Milenkovic A Otto C de Groen P A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation J. Neuroeng. Rehabil 2005 2 19 31 15740621 PMC552302
  49. [69]Schwiebert L Gupta SKS Weinmann J Research challenges in wireless networks of biomedical sensors Proceedings of the 7th annual International Conference on Mobile Computing and Networking Rome, Italy 16–21 July 2001 151 165
  50. [70]Aziz O Lo B King R Darzi A Yang GZ Pervasive body sensor network: An approach to monitoring the postoperative surgical patient Proceedings of International Workshop on Wearable and implantable Body Sensor Networks (BSN 2006) Cambridge, MA, USA 2006 13 18
  51. [74]Purwar A Jeong DU Chung WY Activity monitoring from realtime triaxial accelerometer data using sensor network Proceedings of International Conference on Control, Automation and Systems Hong Kong 21–23 March 2007 2402 2406
  52. [75]Baker C Armijo K Belka S Benhabib M Bhargava V Burkhart N Der Minassians A Dervisoglu G Gutnik L Haick M Ho C Koplow M Mangold J Robinson S Rosa M Schwartz M Sims C Stoffregen H Waterbury A Leland E Pering T Wright P Wireless sensor networks for home health care Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops Niagara Falls, Canada 21–23 May 2007 832 837
  53. [76]Sung M Marci C Pentland A Wearable feedback systems for rehabilitation J. Neuro Eng. Rehabil 2005 1 2 17 PMC1198249 15987514
  54. [77]Yoo J Yan L Lee S Kim Y Yoo HJ A 5.2 mw self-configured wearable body sensor network controller and a 12 w wirelessly powered sensor for a continuous health monitoring system IEEE J. Solid-State Circ 2010 45 178 188
  55. [78]Barth AT Hanson MA Powell HC Jr Lach J Tempo 3.1: A body area sensor network platform for continuous movement assessment Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks Berkeley, CA, USA June 2009 71 76
  56. [79]Gietzelt M Wolf KH Marschollek M Haux R Automatic self-calibration of body worn triaxial-accelerometers for application in healthcare Proceedings of the Second International Conference on Pervasive Computing Technologies for Healthcare Tampere, Finland January 2008 177 180
  57. [80]Gao T Greenspan D Welsh M Juang RR Alm A Vital signs monitoring and patient tracking over a wireless network Proceedings of the 27th Annual International Conference of the IEEE EMBS Shanghai, China 1–4 September 2005 102 105 17282121
  58. [82]Lauterbach C Strasser M Jung S Weber W Smart clothes self-powered by body heat Proceedings of Avantex Symposium Frankfurt, Germany May 2002 5259 5263
  59. [83]Marinkovic S Popovici E Network coding for efficient error recovery in wireless sensor networks for medical applications Proceedings of International Conference on Emerging Network Intelligence Sliema, Malta 11–16 October 2009 15 20
  60. [84]Schoellhammer T Osterweil E Greenstein B Wimbrow M Estrin D Lightweight temporal compression of microclimate datasets Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks Tampa, FL, USA 16–18 November 2004 516 524
  61. [85]Sadler CM Martonosi M Data compression algorithms for energy-constrained devices in delay tolerant networks Proceedings of the 4th ACM International Conference on Embedded networked sensor systems Boulder, CO, USA 31 October–3 November 2006 265 278
  62. [89]Demirkol I Ersoy C Alagoz F MAC protocols for wireless sensor networks: A survey IEEE Commun. Mag 2006 44 115 121
  63. [90]Durmus Y Ozgovde A Ersoy C Event based queueing for fairness and on-time delivery in video surveillance sensor networks Proceedings of IFIP Networking Aachen, Germany 11–15 May 2009 1 6
  64. [92]Tang Q Tummala N Gupta SKS Schwiebert L TARA: Thermal aware routing algorithm for implanted sensor networks Proceedings of the 1st IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS’05) Marina del Ray, CA, USA June 2005 206 217
  65. [93]Pereira P Grilo A Rocha F Nunes M Casaca A Chaudet C Almstrm P Johansson M End-to-end reliability in wireless sensor networks: Survey and research challenges Proceedings of EuroFGI Workshop on IP QoS and Traffic Control Lisbon, Portugal 6–7 December 2007 67 74
  66. [94]Misic J Enforcing patient privacy in healthcare WSNs using ECC implemented on 802.15.4 beacon enabled clusters Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications Hong Kong March 2008 686 691
  67. [95]Zhang GH Poon CCY Li Y Zhang YT A biometric method to secure telemedicine systems Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society Minneapolis, MN, USA September 2009 701 704 19963468
  68. [96]Bao S Zhang Y Shen L Physiological signal based entity authentication for body area sensor networks and mobile healthcare systems Proceedings of the 27th Annual International Conference of the IEEE EMBS Shanghai, China 1–4 September 2005 2455 2458 17282734
  69. [97]Ikonen V Kaasinen E Ethical assessment in the design of ambient assisted living Proceedings of Assisted Living Systems—Models, Architectures and Engineering Approaches Schloss Dagstuhl, Germany November 2008 14 17
  70. [98]Srinivasan V Stankovic J Whitehouse K Protecting your daily in home activity information from a wireless snooping attack Proceedings of the 10th International Conference on Ubiquitous Computing Seoul, Korea 21–24 September 2008 202 211
  71. [99]Casas R Blasco MR Robinet A Delgado AR Yarza AR Mcginn J Picking R Grout V User modelling in ambient intelligence for elderly and disabled people Proceedings of the 11th International Conference on Computers Helping People with Special Needs Linz, Austria July 2008 114 122
  72. [100]Jasemian Y Elderly comfort and compliance to modern telemedicine system at home Proceedings of the Second International Conference on Pervasive Computing Technologies for Healthcare Tampere, Finland 30 January–1 February 2008 60 63
  73. [101]Atallah L Lo B Yang GZ Siegemund F Wirelessly accessible sensor populations (WASP) for elderly care monitoring Proceedings of the Second International Conference on Pervasive Computing Technologies for Healthcare Tampere, Finland 30 January–1 February 2008 2 7
  74. [102]Hori T Nishida Y Suehiro T Hirai S SELF-Network: Design and implementation of network for distributed embedded sensors Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems Takamatsu, Japan 30 October–5 November 2000 1373 1378
  75. [103]Mori Y Yamauchi M Kaneko K Design and implementation of the Vital Sign Box for home healthcare Proceedings of IEEE EMBS International Conference on Information Technology Applications in Biomedicine Arlington, VA, USA November 2000 104 109
  76. [105]LaVan DA Lynn DM Langer R Moving smaller in drug discovery and delivery Nat. Rev 2002 1 77 84 12119612
  77. [106]LaVan DA McGuire T Langer R Small-scale systems for in vivo drug delivery Nat. Biotechnol 2003 21 1184 1191 14520404
  78. [107]Sanghvi AB Miller KPH Belcher AM Schmidt CE Biomaterials functionalization using a novel peptide that selectively binds to a conducting polymer Nat. Mater 2005 4 496 502 15895095
  79. [109]Brannon-Peppas L Blanchette JO Nanoparticle and targeted systems for cancer therapy Adv. Drug Deliv. Rev 2004 56 1649 1659 15350294
  80. [110]Tu RS Tirrel M Bottom-up design of biomimetic assemblies Adv. Drug Deliv. Rev 2004 56 1537 1563 15350288
  81. [111]Shipway AN Willner I Electronically transduced molecular mechanical and information functions on surfaces Acc. Chem. Res 2001 34 421 432 11412079
  82. [112]Hilt JZ Nanotechnology and biomimetic methods in therapeutics: Molecular scale control with some help from nature Adv. Drug Deliv. Rev 2004 56 1533 1536 15350287
  83. [113]Soomro A Cavalcanti D Opportunities and challenges in using WPAN and WLAN technologies in medical environments IEEE Commun. Mag 2007 45 114 122
  84. [114]Gao T Greenspan D Welsh M Juang RR Alm A Vital signs monitoring and patient tracking over a wireless network Proceedings of IEEE-EMBS 27th Annual International Conference of the Engineering in Medicine and Biology Shanghai, China 1–5 September 2005 102 105 17282121
  85. [115]Otto CA Jovanov E Milenkovic EA WBAN-based system for health monitoring at home Proceedings of IEEE/EMBS International Summer School, Medical Devices and Biosensors Boston, MA, USA 4–6 September 2006 20 23
  86. [116]Anliker U Ward JA Lukowicz P Troster G Dolveck F Baer M Keita F Schenker EB Catarsi F Coluccini L Belardinelli A Shklarski D Alon M Hirt E Schmid R Vuskovic M AMON: A werable multiparameter medical monitoring and alert system IEEE Trans. Inform. Technol. Biomed 2004 8 415 427 15615032

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Authors
Darwish, A., & Hassanien, A. E.
Affiliations
  • Helwan University (EG)
  • Cairo University (EG)
Corresponding author
Darwish, Ashraf
ORCID
Venue
Sensors
Publisher
MDPI AG
Published
2011-05-26
Volume
11
Issue
6
Pages
5561-5595
ISSN
1424-8220 (ISSN-L)
DOI
10.3390/s110605561
PMC
PMC3231450
OpenAlex
W2119562457
Cited by
556
References
2
Citations by year
2026: 13 · 2025: 33 · 2024: 37 · 2023: 26 · 2022: 38 · 2021: 46 · 2020: 40 · 2019: 54 · 2018: 54 · 2017: 54 · 2016: 50 · 2015: 30 · 2014: 44 · 2013: 22 · 2012: 11
FWCI
2.07
Type
journal article
Language
en
Update notices
correction (2011-05-26)
Open access
Licence
Locations
  • Sensors (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Physical Sciences › Computer Science › Computer Networks and Communications › Wireless Sensor Networks for Data Analysis
Keywords
wearable sensors, implantable sensors, body area networks, wireless sensor networks, remote patient monitoring, healthcare monitoring, energy efficiency, security (computing), scalability, unobtrusiveness, elderly care, chronic disease
MeSH terms
Computer Communication Networks, Computer Systems, Delivery of Health Care, Equipment Design, Humans, Software, Telemetry, User-Computer Interface, Biosensing Techniques, Computer Security, Monitoring, Ambulatory, Nanotechnology, Wireless Technology

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