Skip to main content
Log in

Body Sensor Network Mobile Solutions for Biofeedback Monitoring

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

Body sensor networks (BSN) appeared as an application of Wireless Sensor Networks (WSN) to medicine and biofeedback. Such networks feature smart sensors (biosensors) that capture bio-physiological parameters from people and can offer an easy way for data collection. BSNs also need suitable interfaces for data processing, presentation, and storage for latter retrieval. As a result, Bluetooth technology can be used to communicate with several more powerful and graphical user interface (GUI)-enabled devices such as mobile phones or regular computers. Taking into account that people currently use mobile and smart phones, it offers a good opportunity to propose a suitable mobile system for BSN networks. This paper presents a BSN mobile solution for biofeedback monitoring using the four major smart phone platforms: Symbian, Windows Mobile, Android, and iPhone. As case study, a sensing health with intelligence modularity, mobility and experimental reusability (SHIMMER) platform with a core-body temperature sensor enabled to construct the BSN was used. The four mobile applications were evaluated and validated, and are ready for use.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Chen M, Gonzalez S, Vasilakos A, Cao H, Leung V (2010) Body area networks: a survey. ACM Springer Mobile Netw Appl MONET. doi:10.1007/s11036-010-0260-8

    Google Scholar 

  2. Benlamri R, Docksteader L (2010) MORF: a mobile health-monitoring platform. IT Prof 12(3):18–25. IEEE Computer Society

    Google Scholar 

  3. Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. Comput Netw 54(15):2688–2710

    Article  Google Scholar 

  4. Nguyen KD, Chen I-M, Luo Z, Yeo SH, Duh HB-L (2009) A body sensor network for tracking and monitoring of functional arm motion. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). St. Louis, MO, USA, pp 3862–3867

  5. Chen S-L, Lee H-Y, Chen C-A, Huang H-Y, Luo C-H (2009) Wireless body sensor network with adaptive low-power design for biometrics and healthcare applications. IEEE Syst J 3(4):398–409

    Article  Google Scholar 

  6. Park C, Chou PH, Bai Y, Matthews R, Hibbs A (2006) An ultra-wearable, wireless, low power ECG monitoring system. IEEE Biomedical Circuits and Systems Conference (BioCAS 2006). London, pp 241–244

  7. Chen M, Gonzalez S, Zhang Q, Li M, Leung V (2010) A 2G-RFID based E-healthcare system. IEEE Wireless Commun Mag 17(1):37–43

    Article  Google Scholar 

  8. Sarpeshkar R (2006) Invited talk: ultra low power electronics for medicine. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006). Cambridge, Massachusetts, USA, pp 1–37

  9. Ghasemzadeh H, Guenterberg E, Jafari R (2009) Energy-efficient information-driven coverage for physical movement monitoring in body sensor networks. IEEE J Sel Areas Commun 27(1):58–69

    Article  Google Scholar 

  10. Bucur D, Bardram JE (2007) Resource discovery in activity-based sensor networks. Mobile Netw Appl 12:129–142

    Article  Google Scholar 

  11. Ullah S, Higgins H, Braem B, Latre B, Blondia C, Moerman I et al (2010). A comprehensive survey of wireless body area networks: on PHY, MAC, and network layers solutions. J Med Syst (pp. 1–30)

  12. Kemp J, Gaura EI, Brusey J, Thake CD (2008) Using body sensor networks for increased safety in bomb disposal missions. IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC 2008). Taichung, Taiwan, pp 81–89

  13. Ghasemzadeh H, Loseu V, Jafari R (2010) Structural action recognition in body sensor networks: distributed classification based on string matching. IEEE Trans Inf Technol Biomed 14(2):425–435

    Article  Google Scholar 

  14. Ghasemzadeh H, Jafari R, Prabhakaran B (2010) A body sensor network with electromyogram and inertial sensors: multimodal interpretation of muscular activities. IEEE Trans Inf Technol Biomed 14(2):198–206

    Article  Google Scholar 

  15. Naima R, Canny J (2009) The berkeley tricorder: ambulatory health monitoring. Sixth International Workshop on Wearable and Implantable Body Sensor Networks. Berkeley, CA, pp 53–58

  16. Bao SD, Poon CC, Zhang YT, Shen LF (2008) Using the timing information of heartbeats as an entity identifier to secure body sensor network. IEEE Trans Inf Technol Biomed 12(6):772–779

    Article  Google Scholar 

  17. Pereira ORE, Neves PACS, Rodrigues JJPC (2008) Mobile solution for three-tier biofeedback data acquisition and processing. IEEE Global Communications Conference (GLOBECOM 2008), Ad-Hoc, Sensor and Mesh Networking Symposium (GC08 AHSN). New Orleans, LA, USA, pp 1–5

  18. Rodrigues JJPC, Caldeira J, Vaidya B (2009) A novel intra-body sensor for vaginal temperature monitoring. Sensors Journal, MDPI 9:2797–2808. Basel, Switzerland

    Google Scholar 

  19. Caldeira JMLP, Moutinho JAF, Vaidya B, Lorenz P, Rodrigues JJPC (2010) Intra-body temperature monitoring using a biofeedback solution. The Second International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2010). St. Maarten, Netherlands Antilles, pp 119–124

  20. Campbella I (2008) Body temperature and its regulation. Anaesth Intensive Care Med 9:259–263

    Article  Google Scholar 

  21. Ring EFJ (1998) Progress in the measurement of human body temperature. IEEE Eng Med Biol Mag 17:19–24

    Article  Google Scholar 

  22. Ngalamou L, Rose D (2002) Fertility information appliance. 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002). Maribor, Slovenia, pp 335–338

  23. Zhong L, Sinclair M, Bittner R (2006) A phone-centered body sensor network platform: cost, energy efficiency user interface. International Workshop on Wearable and Implantable Body Sensor Networks, 2006 (BSN 2006). Cambridge, Massachusetts, USA, pp 179–182

  24. Maurer U, Rowe A, Smailagic A, Siewiorek DP (2006) eWatch: a wearable sensor and notification platform. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006). Cambridge, MA, USA, pp 141–145

  25. Reeves AA, Ng JWP, Brown SJ, Barnes NM (2006) Remotely supporting care provision for older adults. International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006) (pp 117–122). Cambridge, MA, USA

  26. Goh KW, Lavanya J, Kim Y, Tan EK, Soh CB (2006) A pda-based ecg beat detector for home cardiac care. 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005). Shanghai, pp 375–378

  27. Virone G, Wood A, Selavo L, Cao Q, Fang L, Doan T et al (2006) An advanced wireless sensor network for health monitoring. Avaliable in: http://www.cs.virginia.edu/papers/d2h206-health.pdf

  28. Chen S-L, Lee H-Y, Chen C-A, Lin C-C, Luo C-H (2007) A wireless body sensor network system for healthcare monitoring application. Biomedical Circuits and Systems Conference, 2007 (IEEE—BIOCAS 2007). Montreal, Que, pp 243–246

  29. Dagtas S, Natchetoi Y, Wu H (2007) An integrated wireless sensing and mobile processing architecture for assisted living and healthcare applications. International Conference On Mobile Systems, Applications And Services—ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (SIGMOBILE 2007) (pp 70–72). San Juan, Puerto Rico

  30. Kirovski D, Oliver N, Sinclair M, Tan D (2007) Health-OS: a position paper. International Conference On Mobile Systems, Applications And Services—ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (SIGMOBILE 2007). San Juan, Puerto Rico, pp 76–78

  31. Kroc S, Delic V (2003) Personal wireless sensor network for mobile health care monitoring. 6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS 2003) (Vol. 2). Nis, Serbia & Montenegro, pp 471–474

  32. Bao S-D, Zhang Y-T, Shen L-F (2005). Physiological signal based entity authentication for body area sensor networks and mobile healthcare systems. 27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005). Shanghai, China, pp 2455–2458

  33. Jovanov E, Lords A, Raskovic D, Cox P, Adhami R, Andrasik F (2003) Stress monitoring using a distributed wireless intelligent sensor system. IEEE Eng Med Biol Mag 22:49–55

    Article  Google Scholar 

  34. Lee D-S, Lee Y-D, Chung W-Y, Myllyla R (2006) Vital sign monitoring system with life emergency event detection using wireless sensor network. 5th IEEE Conference on Sensors. Daegu, Korea, pp 518–521

  35. Padgette JD (2009) Bluetooth security in the dod. Military Communications Conference, 2009. MILCOM 2009. IEEE (pp 1–6). Boston

  36. Lindstrom G (2005) Programming with Python. IT Prof 7(5):10–16

    Article  Google Scholar 

  37. Oliphant TE (2007) Python for scientific computing. Comput Sci Eng 9(3):10–20

    Article  Google Scholar 

  38. Prechelt L (2000) An empirical comparison of seven programming languages. IEEE Computer Society Press (vol. 33 issue 1). Los Alamitos, CA, USA, pp 23–29

  39. Wigley A, Moth D, Foot P (2007). Mobile development handbook (second edition). Microsoft Press (pp. 1–688)

  40. Savoldi A, Gubian P, Echizen I (2009) A comparison between windows mobile and Symbian S60 embedded forensics. Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP ’09). Kyoto, pp 546–550

  41. Google Android Developers. Application fundamentals. http://developer.android.com/guide/topics/fundamentals.html. Accessed Out. 2010.

  42. iPhone OS Development. iphone os reference library. http://developer.apple.com/iphone/library/navigation/index.html#section=Topics&topic=Networking%20%26amp%3B%20Internet. Accessed Out. 2010

  43. Apple Developer. iphone development program. http://developer.apple.com/iphone/program/. Accessed Out. 2010

Download references

Acknowledgements

Part of this work has been supported by the Instituto de Telecomunicações, Next Generation Networks and Applications Group (NetGNA), Portugal, in the framework of Project BodySens, by Grantin-Aid for cientific Research (S)(21220002) of the Ministry of Education, Culture, Sports, Science and Technology, Japan, and by the Euro-NF Network of Excellence from the Seventh Framework Programme of EU, in the framework of the Specific Joint Research Project PADU.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Joel J. P. C. Rodrigues.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pereira, O., Caldeira, J.M.L.P. & Rodrigues, J.J.P.C. Body Sensor Network Mobile Solutions for Biofeedback Monitoring. Mobile Netw Appl 16, 713–732 (2011). https://doi.org/10.1007/s11036-010-0278-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-010-0278-y

Keywords

Navigation