Skip to main content
SpringerLink
Log in

Wireless Communication Systems from the Perspective of Implantable Sensor Networks for Neural Signal Monitoring

  • Chapter
  • First Online:
Wireless Technology

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 44))

  • 783 Accesses

Abstract

Recent advances in modern neurocomputing heading toward promising clinical applications of implantable neuronal sensing devices have shown the utmost necessity of wireless communication systems that allow real-time monitoring of neural signals. The design of a wireless transmission system for this particular application shall meet several requirements involving source compression of the high data rate neural recording, communication with a standard device as bridge between body area and remote server, and high fidelity of the received signal to ensure effective brain activity monitoring. A wireless transmission system over Bluetooth and 3G is analyzed for its application to the real-time transmission of neural signals captured by implanted micro-electrode array sensors. Average compression rate of 75% of the neural signal is achieved through detection using nonlinear energy operator preprocessing and automatic threshold adaptation. The wireless transmission of these signals integrates a Bluetooth transmission from the information source to a conventional mobile device and then over 3G to a remote server, without intermediate storage on the mobile phone. Reconstruction of the coded neural signal provides the input to high-performance spike classification algorithm allowing the tracking of individual neuron spiking patterns.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Akin T, Najafi K, Bradley R (1998) A wireless implantable multichannel digital neural recording system for a micromachines sieve electrode. IEEE Journal of Solid State Circuits, 1, 33, 109–118

    Article  Google Scholar 

  2. Anderson DJ, Oweiss KG (2003) Capturing Signal Activity and Spatial Distribution of Neurons in a Sub-Millimeter Volume. Conference Record of the 37th Asilomar Conference on Signals, Systems and Computers, 1, 387–390

    Google Scholar 

  3. Bluetooth special interest group: Specification of the bluetooth system (2004) http://www.bluetooth.com. Accessed 10th July 2008

  4. Brown EN, Kass RE, Mitra PP (2004) Multiple neural spike train data analysis: state-of-the-art and future challenges. Nature Neuroscience, 7, 5, 456–461

    Article  Google Scholar 

  5. Fernández E, Pelayo F, Romero S, Bongard M, Marín C, Alfaro A, Merabet L (2005) Development of a cortical visual neuroprosthesis for the blind: the relevance of neuroplasticity. Journal of Neural Engineering, 2, R1–R12

    Article  Google Scholar 

  6. Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP (2006) Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature, 442, 164–171

    Article  Google Scholar 

  7. Irazoqui-Pastor P, Mody I, Judy JW (2002) Transcutaneous rf-powered neural recording device. Second Joint EMBS/BMES Conference, Houston, USA, 3, 2105–2106

    Google Scholar 

  8. Irazoqui-Pastor P, Mody I, Judy JW (2005) Recording brain activity wirelessly. IEEE Engineering in Medicine and Biology Magazine, 24, 6, 48–54

    Article  Google Scholar 

  9. Ju MC, Park CH, Hong DK, Youn KJ, Cho JW (2002) Link management scheme of bluetooth based on channel quality estimation. Electronics Letters, 38, 15, 89–790

    Article  Google Scholar 

  10. Kim K, Kim S (2000) Neural spike sorting under nearly 0 dB signal-to-noise ratio using nonlinear energy operator and artificial neural-network classifier. IEEE Transactions on Biomedical Engineering, 47, 10, 1406–1411

    Article  Google Scholar 

  11. Lebedev MA, Carmena JM, O’Doherty JE, Zacksenhouse M, Henriquez CS, Principe JC, Nicolelis MAL (2005) Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface. The Journal of Neuroscience, 25, 19, 4681–4693

    Article  Google Scholar 

  12. Letelier JC, Weber PP (2000) Spike sorting based on discrete wavelet transform coefficients. Journal of Neuroscience Methods, 2, 101, 93–106

    Article  Google Scholar 

  13. Lopez-Casado C, Tejero-Calado J, Bernal-Martin A, Lopez-Gomez M, Romero-Romero M, Quesada G, Lorca J, Garcia E (2005) Network architecture for global biomedical monitoring service. 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai, China, pp. 2433–2436

    Google Scholar 

  14. Martinoiaa S, Sanguinetib V, Cozzib L, Berdondinic L, van Peltd J, Tomase J, Le Massonf G, Davideg F (2004) Towards an embodied in vitro electrophysiology: the NeuroBIT project. Neurocomputing, 60, 58, 1065–1072

    Article  Google Scholar 

  15. Mojarradi M, Binkley D, Blalock B, Anderson R, Ulshoefer N, Johnson T (2003) A miniaturized neuroprosthesis suitable for implantation into the brain. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 3, 11, 38–42

    Article  Google Scholar 

  16. Morrow R, (2000) Connecting with a bluetooth piconet. Fall Wireless Symposium/Portable By Design Conference and Exhibition, Chicago

    Google Scholar 

  17. Nicolelis MAL (2001) Actions from thoughts. Nature, 409, 403–407

    Article  Google Scholar 

  18. Obeid I, Nicolelis MAL, Wolf PD (2004a) A multichannel telemetry system for single unit neural recording. The Journal of Neuroscience Methods, 133, 33–38

    Article  Google Scholar 

  19. Obeid I, Nicolelis MAL, Wolf PD (2004b) A low power multichannel analog front end for portable neural signal recordings. The Journal of Neuroscience Methods, 133, 27–32

    Article  Google Scholar 

  20. Obeid I, Wolf PD (2004) Evaluation of Spike-detection algorithms for a brain-machine interface application. IEEE Transactions on Biomedical Engineering, 51, 6, 905–911

    Article  Google Scholar 

  21. Olson BP, Si J, Hu J, He J (2005) Closed-loop cortical control of direction using support vector machines. IEEE Transactions on Neural systems and Rehabilitation Engineering, 13, 1, 72–80

    Article  Google Scholar 

  22. Ryugo DK, Kretzmer EA, Niparko JK. (2005) Restoration of auditory nerve synapses in cats by cochlear implants. Science, 310, 5753, 1490–1492

    Article  Google Scholar 

  23. Salamon D, Bei A, Grigioni M, Gianni M, Liberti M, D’Inzeo G, Luca SD (2005) Indoor telemedicine in hospital: a pda-based flexible solution for wireless monitoring and database integration. 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai, China, pp. 386–389

    Google Scholar 

  24. Tarín C, Martí P, Traver L, Cardona N, Díaz JA, Antonino E (2007) UWB Channel Measurements for hand-portable devices: a comparative study. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece, pp. 1–5

    Google Scholar 

  25. Tarín C, Traver L, Martí P, Cardona N, Díaz JA, Cabedo M (2007) UWB Channel measures for hand-portable and wearable devices. IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, New York, USA, pp. 1–6

    Google Scholar 

  26. Tarín C, Traver L, Santamaría JF, Martí P, Cardona N (2007) Bluetooth-3G wireless transmission system for neural signal telemetry. IEEE Wireless Telecommunications Symposium, Pomona, California, USA, pp. 1–6

    Google Scholar 

  27. Taylor DM, Helms Tillery SI, Schwartz AB (2002) Direct cortical control of 3D neuroprosthetic devices. Science, 296, 1829–1832

    Article  Google Scholar 

  28. Universite Paris Descartes, UFR Biomedicale. http://www.biomedicale.univ-paris5.fr/SpikeOMatic/Data.html. Accessed 10th July 2008

  29. Wessberg J, Stambaugh CR, Kralik JD, Beck PD, Laubach M, Chapin JK (2000) Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature, 408, 6810, 361–365

    Article  Google Scholar 

  30. Wise KD, Anderson DJ, Hetke JF, Kipke DR, Njafi K (2004) Wireless implantable microsystems: High-density electronic interfaces to the nervous system. Proceedings of the IEEE, 92,1, 76–97

    Google Scholar 

  31. Wood F, Black MJ, Vargas-Irwin C, Fellows M, Donogue JP (2004) On the variability of manual spike sorting. IEEE Transactions on Biomedical Engineering, 51, 6, 912–918

    Article  Google Scholar 

  32. Yu SN, Cheng JC (2005) A wireless physiological signal monitoring system with integrated bluetooth and wifi technologies. 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai, China, pp. 2203–2206

    Google Scholar 

  33. Zasowski T, Althaus F, Stäger M, Wittneben A, Tröster G (2003) UWB for noninvasive wireless body area networks: Channel measurements and results. IEEE Conference on Ultra Wideband Systems and Technologies, pp. 1–10

    Google Scholar 

  34. Zumsteg ZS, Kemere C, O’Driscoll S, Santhanam G, Ahmed RE, Shenoy KV, Meng TH (2005) Power feasibility of implantable digital spike sorting circuits for neural prosthetic systems. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13, 3, 272–279

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Telecommunications and Multimedia Applications, Technical University of Valencia, Valencia, Spain

    C. Tarín, L. Traver, P. Martí & N. Cardona

Authors
  1. C. Tarín
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. L. Traver
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. P. Martí
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. N. Cardona
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Information Systems Dept., California State Polytechnic University, W. Temple Ave. 3801, Pomona , 91768, U.S.A.

    Steven Powell

  2. Dept. Management & Information , Mississippi State University, Mississippi, 39762, U.S.A.

    J.P. Shim

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Tarín, C., Traver, L., Martí, P., Cardona, N. (2009). Wireless Communication Systems from the Perspective of Implantable Sensor Networks for Neural Signal Monitoring. In: Powell, S., Shim, J. (eds) Wireless Technology. Lecture Notes in Electrical Engineering, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71787-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-0-387-71787-6_12

  • Published:

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-71786-9

  • Online ISBN: 978-0-387-71787-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation