Abstract
It has been recognised that body-centric communications (BCC) will play a significant role in 4G and subsequent technologies. BCC is an area of much interest globally, with applications in military, security, space, health care, sports and entertainment already identified. From a technical perspective, many of the problems encountered in BCC systems are relatively independent of the specific application, with some minor distinctions. In particular, space and military applications have particular requirements on robustness and extreme operating conditions that are somewhat more relaxed in other areas. The fundamental design issues are examined in this chapter from the perspective of three main areas: antennas, wireless communication protocols and sensing technologies. Examples from health care and sports applications are used to demonstrate key concepts and challenges. Current and future trends are discussed, with an emphasis on the recently released IEEE 802.15.6 wireless communications standard.
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- 4G:
-
Fourth generation mobile communication networks
- BCC:
-
Body-centric communications
- BG:
-
Blood glucose
- BP:
-
Blood pressure
- CBGM:
-
Capillary blood glucose monitoring
- DBPSK:
-
Differential binary phase shift keying
- DQPSK:
-
Differential quadrature phase shift keying
- ECG:
-
Electrocardiograph
- EMFi:
-
Electromechanical film
- EMG:
-
Electromyography
- EMI:
-
Electromagnetic interference
- FEC:
-
Forward error correction
- FM-UWB:
-
Frequency modulated ultra-wide-band
- HBC:
-
Human body communication
- ICD:
-
Implantable cardioverter defibrillator
- IR:
-
Infra-red
- IR-UWB:
-
Impulse radio ultra-wide-band
- IS:
-
Impedance spectroscopy
- ISM:
-
Industrial, scientific and medical
- LED:
-
Light emitting diode
- MAC:
-
Media access control
- MBAN:
-
Medical body area network
- MICS:
-
Medical implant communication service
- NB:
-
Narrow band
- PCB:
-
Printed circuit board
- PEP:
-
Pre-ejection period
- PPG:
-
Photoplethysmogram
- PVDF:
-
Polyvinylidenefluoride
- PWTT:
-
Pulse wave transit time
- RF:
-
Radio frequency
- RFID:
-
Radio-frequency identification
- RLC :
-
Resistor–inductor–capacitor
- UWB:
-
Ultra-wide-band
- VNA:
-
Vector network analyser
- WBAN:
-
Wireless body area network
- WBSN:
-
Wireless body sensor network
- WPAN:
-
Wireless personal area networks
- WPMS:
-
Wireless physiological measurement system
- Z :
-
Impedance
References
Hall PS, Hao Y (2006) Antennas and propagation for body-centric wireless communications. Artech House, Boston
Heath HBM, Schofield I (1999) Healthy ageing: nursing older people. Mosby, London
Fass L (2007) Patient-centric healthcare. Paper presented at the Medical Electrical Devices and Technology, MEDTECH, 2–3 October 2007
Saxby R (2007) How silicon will transform healthcare. Paper presented at the Medical Electrical Devices and Technology, MEDTECH, 2–3 October 2007
Feied R, Jordan N, Kanhouwa M, Kavanagh J (2006) The new world of healthcare work: a Microsoft white paper. UK Focus International Lecture, The Royal Academy of Engineering
Department of Health (2007) What is physiological measurement? The National Health Service (NHS)
Townsend KA, Haslett JW, Tsang TKK, El-Gamal MN, Iniewski K (2005) Recent advances and future trends in low power wireless systems for medical applications. Paper presented at the Fifth International Workshop on System-on-Chip for Real-Time Applications, 20–24 July 2005
Jones V, Shashar N, Ben Shaphrut O, Lavigne K, Rienks R, Bults R, Konstantas D, Vierhout P, Peuscher J, van Halteren A, Herzog R, Widya I (2006) Remote monitoring for healthcare and for safety in extreme environments. In: Istepanian RSH, Laxminarayan S, Pattichis C (eds) M-Health: emerging mobile health systems. Springer, Berlin, pp 561–574
Hao Y, Foster R (2008) Wireless body sensor networks for health-monitoring applications. Physiol Meas 29(11):R27–R56. doi:10.1088/0967-3334/29/11/r01
Yilmaz T, Foster R, Hao Y (2010) Detecting vital signs with wearable wireless sensors. Sensors 10(12):10837–10862
BTS Bioengineering, FREEEMG wireless EMG product webpage. http://www.btsbioengineering.com/BTSBioengineering/Surfaceemg/BTSFREEEMG300/BTS_FREEEMG300.html?gclid=CKbw3s_Fx6wCFQsb4QodFDNpqA. Last accessed Jan 2012
Morris SJ, Paradiso JA (2002) Shoe-integrated sensor system for wireless gait analysis and real-time feedback. Paper presented at the Proceedings of the Second Joint EMBS/BMES Conference: the 24th Annual International Conference of the Engineering in Medicine and Biology Society and the Annual Fall Meeting of the Biomedical Engineering Society, 23–26 October 2002, Houston, Texas, USA
Bamberg S, Benbasat AY, Scarborough DM, Krebs DE, Paradiso JA (2008) Gait analysis using a shoe-integrated wireless sensor system. IEEE Trans Inform Technol Biomed 12(4):413–423
Leszko F, Zingde S, Argenson J, Mahfouz M, Komistek R (2010) Correlation of in vivo patellofemoral kinematics with sound data for TKA and non-implanted knees. Paper presented at the Orthopaedic Research Society Annual Meeting, New Orleans, March 2010
Zingde S, Leszko F, Komistek R, Wasielewski RC, Argenson J, Mahfouz M (2010) Correlation of 3D in vivo kinematics and vibroathrography data in the knee joint. Paper presented at the Orthopaedic Research Society Annual Meeting, New Orleans, March 2010
O’Sullivan JD, Said CM, Dillon LC, Hoffman M, Hughes AJ (1998) Gait analysis in patients with Parkinson’s disease and motor fluctuations: influence of levodopa and comparison with other measures of motor function. Mov Disorders 13(6):900–906. doi:10.1002/mds.870130607
Kauw-A-Tjoe RG, Thalen JP, Marin-Perianu M, Havinga PJM (2007) Sensor Shoe: mobile gait analysis for Parkinson’s disease patients. In: UbiComp 2007 workshop proceedings, Innsbruck, 16 September 2007
Grandez K, Bustamante P, Solas G, Gurutzeaga I, Garcia-Alonso A (2009) Wearable wireless sensor for the gait monitorization of Parkinsonian patients. Paper presented at the 16th IEEE International Conference on Electronics, Circuits, and Systems, ICECS 2009, 13–16 December 2009
Stolze H, Kuhtz-Buschbeck JP, Drücke H, Jöhnk K, Diercks C, Palmié S, Mehdorn HM, Illert M, Deuschl G (2000) Gait analysis in idiopathic normal pressure hydrocephalus—which parameters respond to the CSF tap test? Clin Neurophysiol 111(9):1678–1686. doi:10.1016/s1388-2457(00)00362-x
Webster JG (ed) (1998) Medical instrumentation: application and design, 3rd edn. Wiley, New York
Hilbel T, Helms TM, Mikus G, Katus HA, Zugck C (2008) Telemetry in the clinical setting. Herzschrittmacherther Elektrophysiol 19(3):146–154. doi:10.1007/s00399-008-0017-2
Zimetbaum PJ, Josephson ME (1999) The evolving role of ambulatory arrhythmia monitoring in general clinical practice. Ann Intern Med 130(10):848–856
Hua P, Woo EJ, Webster JG, Tompkins WJ (1993) Finite element modeling of electrode-skin contact impedance in electrical impedance tomography. IEEE Trans Biomed Eng 40(4):335–343
Karilainen A, Hansen S, Müller J (2005) Dry and capacitive electrodes for long-term ecg-monitoring. In: 8th annual workshop on semiconductor advances, vol 8, pp 155–161. http://www.stw.nl/NR/rdonlyres/B1B900A5-6754-4006-94 AD-04970295F6EB/0/karilainen.pdf. Accessed 3 May 2012
Assambo C, Baba A, Dozio R, Burke MJ (2007) Determination of the parameters of the skin-electrode impedance model for ECG measurement. In: Proceedings of the 6th WSEAS international conference on electronics, hardware, wireless and optical communications, 16–19 February 2007, Corfu Island, Greece
Cardu R, Leong PHW, Jin CT, McEwan A (2012) Electrode contact impedance sensitivity to variations in geometry. Physiol Meas 33(5):817–830
Chi YM, Cauwenberghs G (2010) Wireless Non-contact EEG/ECG Electrodes for Body Sensor Networks. Paper presented at the International Conference on Body Sensor Networks (BSN 2010), 7–9 June 2010
Zimetbaum P, Goldman A (2010) Ambulatory arrhythmia monitoring. Circulation 122(16):1629–1636
Lakshmanadoss U, Shah A, Daubert JP (2011) Telemonitoring of the pacemakers. In: Das MR (ed) Modern pacemakers—present and future. InTech. http://www.intechopen.com
Müller A, Helms TM, Wildau H-J, Schwab JO, Zugck C (2011) Remote monitoring in patients with pacemakers and implantable cardioverter-defibrillators: new perspectives for complex therapeutic management. In: Das MR (ed) Modern pacemakers—present and future. InTech. http://www.intechopen.com
Guevara-Valdivia ME, Torres PI (2011) Remote monitoring of implantable pacemaker, cardioverter defibrillator, and cardiac resynchronizer. In: Das MR (ed) Modern pacemakers—present and future. InTech. http://www.intechopen.com
Pickering TG, Shimbo D, Haas D (2006) Ambulatory blood-pressure monitoring. New Engl J Med 354(22):2368–2374. doi:10.1056/NEJMra060433
Moraes JCTB, Cerulli M, Ng PS (2000) A strategy for determination of systolic, mean and diastolic blood pressures from oscillometric pulse profiles. Comput Cardiol 27:211–214
Franklin DL, Schlegel W, Rushmer RF (1961) Blood flow measured by Doppler frequency shift of back-scattered ultrasound. Science 134(3478):564–565. doi:10.1126/science.134.3478.564
Gribbin B, Steptoe A, Sleight P (1976) Pulse wave velocity as a measure of blood pressure change. Psychophysiology 13(1):86–90
Poon CC, Zhang YT (2005) Cuff-less and noninvasive measurements of arterial blood pressure by pulse transit time. Ann Int Conf IEEE Eng Med Biol Soc IEEE Eng Med Biol Soc 6:5877–5880. doi:10.1109/iembs.2005.1615827
Carmen CYP, Yee Man W, Yuan-Ting Z (2006) M-Health: the development of cuff-less and wearable blood pressure meters for use in body sensor networks. Paper presented at the Life Science Systems and Applications Workshop, IEEE/NLM, July 2006
Matsubara A, Tanaka S (2002) Unconstrained and noninvasive measurement of heartbeat and respiration for drivers using a strain gauge. Paper presented at the Proceedings of the 41st SICE Annual Conference, SICE, 5–7 August 2002
Jeong JW, Jang YW, Lee I, Shin S, Kim S (2009) Wearable respiratory rate monitoring using piezo-resistive fabric sensor. In: Dössel O, Schlegel WC (eds) World congress on medical physics and biomedical engineering, 7–12 September 2009, Munich, Germany. IFMBE Proceedings, vol 25/5. Springer, Heidelberg, pp 282–284. doi:10.1007/978-3-642-03904-1_78
Karki S, Lekkala J (2008) Film-type transducer materials PVDF and EMFi in the measurement of heart and respiration rates. In: 30th annual international conference of the IEEE engineering in medicine and biology society, EMBS, 20–25 August 2008, pp 530–533
Medtronic, Inc. A medical device and services company. Its diabetes-related services. Webpage: http://www.medtronicdiabetes.com/AboutDiabetes/ManagingDiabetes. Accessed 16th July 2012.
Hillier TA, Abbott RD, Barrett EJ (1999) Hyponatremia: evaluating the correction factor for hyperglycemia. Am J Med 106(4):399–403
Hayashi Y, Livshits L, Caduff A, Feldman Y (2003) Dielectric spectroscopy study of specific glucose influence on human erythrocyte membranes. J Phys D Appl Phys 36(4):369
Caduff A, Feldman Y (2007) Method and a device for measuring glucose. US Patent 11/070,853, granted 27 February 2007
Caduff A, Donath M, Talary M, Haug S, Huber D, Stahel WA, Dewarrat F, Jonasson LS, Krebs HJ, Klisic J (2007) Multisensor concept for non-invasive physiological monitoring. Paper presented at the IEEE Instrumentation and Measurement Technology Conference Proceedings (IMTC 2007), 1–3 May 2007
Caduff A, Talary MS, Mueller M, Dewarrat F, Klisic J, Donath M, Heinemann L, Stahel WA (2009) Non-invasive glucose monitoring in patients with Type 1 diabetes: a multisensor system combining sensors for dielectric and optical characterisation of skin. Biosens Bioelectron 24(9):2778–2784. doi:10.1016/j.bios.2009.02.001
Arnold MA, Burmeister JJ, Small GW (1998) Phantom glucose calibration models from simulated noninvasive human near-infrared spectra. Anal Chem 70(9):1773–1781. doi:10.1021/ac9710801
Barman I, Singh GP, Dasari RR, Feld MS (2009) Turbidity-corrected Raman spectroscopy for blood analyte detection. Anal Chem 81(11):4233–4240. doi:10.1021/ac8025509
Lin JC (1992) Microwave sensing of physiological movement and volume change: a review. Bioelectromagnetics 13(6):557–565. doi:10.1002/bem.2250130610
Munoz M, Foster R, Hao Y (2012) Physiological features from an on-body radio propagation channel. In: Proceedings of the 9th international conference on wearable and implantable body sensor networks (BSN 2012), London, 9–12 May 2012
Yilmaz T, Hao Y (2011) Sensing of dielectric property alterations in biological tissues at microwave frequencies. Paper presented at the Loughborough Antennas and Propagation Conference (LAPC 2011), Loughborough, 14–15 November 2011
Yilmaz T, Hao Y (2011) Compact resonators for permittivity reconstruction of biological tissues. In: Proceedings of the XXXth URSI general assembly, Istanbul, August 2011
Topsakal E, Karacolak T, Moreland EC (2011) Glucose-dependent dielectric properties of blood plasma. Paper presented at the 30th URSI General Assembly, Istanbul
Agilent 85070E Dielectric Probe Kit product webpage. Agilent. http://www.home.agilent.com/agilent/product.jspx?nid=−536902475.536883502.00&cc=GB&lc=eng. Accessed Dec 2011
Hancock CP, Chaudhry S (2007) A non-invasive monitoring system. Paper presented at the European Microwave Conference, 9–12 October 2007
Hancock CP (2007) A non-invasive monitoring system. G.B. Patent 2428093, granted 17 January 2007
Jean BR, Green EC, McClung MJ (2008) A microwave frequency sensor for non-invasive blood-glucose measurement. Paper presented at the IEEE Sensors Applications Symposium (SAS), 12–14 February 2008
Hao Y (2006) Body worn antennas & propagation modelling. GE global research project final report. Queen Mary, University of London, London
Alomainy A, Hao Y, Hu X, Parini CG, Hall PS (2006) UWB on-body radio propagation and system modelling for wireless body-centric networks. IEEE Proc Commun 153(1):107–114
Soontornpipit P, Furse CM, You Chung C (2004) Design of implantable microstrip antenna for communication with medical implants. IEEE Trans Microwave Theory Techn 52(8):1944–1951
Karacolak T, Hood AZ, Topsakal E (2008) Design of a dual-band implantable antenna and development of skin mimicking gels for continuous glucose monitoring. IEEE Trans Microwave Theory Techn 56(4):1001–1008
Pantelopoulos A, Bourbakis NG (2010) A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE Trans Syst Man Cybernetics C Appl Rev 40(1):1–12
TinyOS website. http://www.tinyos.net. Accessed 16th July 2012
Contiki-OS website. http://www.contiki-os.org/. Accessed 16th July 2012
MoteWorks website. http://www.xbow.com:81/Products/productdetails.aspx?sid=154. Accessed 16th July 2012
Texas Instrument (2007) CC2420 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver. http://www.ti.com/lit/ds/symlink/cc2420.pdf. Accessed 16th July 2012
EnOcean GmbH website. http://www.enocean.com. Accessed 16th July 2012
EnOcean Technology (2011) Energy harvesting wireless white paper. http://www.enocean.com/fileadmin/redaktion/pdf/white_paper/WP_EnOcean_Technology_en_Jul11.pdf. Accessed Jan 2012
Lim S, Oh TH, Choi Y, Lakshman T (2010) Security issues on wireless body area network for remote healthcare monitoring. In: IEEE international conference on sensor networks, ubiquitous, and trustworthy computing (SUTC 2010), 7–9 June 2010
Ahamed SI, Talukder N, Kameas AD (2007) Towards privacy protection in pervasive healthcare. In: 3rd IET international conference on intelligent environments, 24–25 September 2007
Witters D, Seidman S, Bassen H (2010) EMC and wireless healthcare. In: Asia-Pacific symposium on electromagnetic compatibility (APEMC 2010), 12–16 April 2010
The Nike+ system on the Apple website. http://www.apple.com/uk/ipod/nike/
Astrin A (2011) IEEE-802.15.6-tutorial. IEEE 802.15 Task Group 6. https://mentor.ieee.org/802.15/documents?is_group=0006. Accessed 12 Dec 2011
IEEE Standard for Local and metropolitan area networks Part 15.6: Wireless Body Area Networks, IEEE Std 802.15.6-2012, Feb. 29 2012 doi:10.1109/IEEESTD.2012.6161600
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Foster, R., Yilmaz, T., Munoz, M., Hao, Y. (2012). Wearable Sensors. In: Filippini, D. (eds) Autonomous Sensor Networks. Springer Series on Chemical Sensors and Biosensors, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/5346_2012_28
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DOI: https://doi.org/10.1007/5346_2012_28
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