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ZTE Communications ›› 2014, Vol. 12 ›› Issue (3): 3-12.DOI: DOI:10.3969/j.issn.1673-5188.2014.03.001

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Sensing, Signal Processing, and Communication for WBANs

Seyyed Hamed Fouladi1, Raúl Chávez-Santiago1,2,3, Pål Ander Floor1,2,3, Ilangko Balasingham1,2,3, and Tor A. Ramstad1   

  1. 1. Department of Electronics and Telecommunications, Norwegian University of Science and Technology, Trondheim, Norway;
    2. The Intervention Center, Oslo University Hospital, Norway;
    3. Institute of Clinical Medicine, University of Oslo, Norway
  • 收稿日期:2014-04-04 出版日期:2014-09-25 发布日期:2014-09-25
  • 作者简介:Seyyed Hamed Fouladi (hamed.fouladi@iet.ntnu.no) received his B.S. degree in electrical engineering at the Department of Electrical Engineering, Shahed University, Tehran, Iran in 2009 and M.Sc degree in Communication Systems at the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran, in 2012. He is currently a PhD student at Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research interests include statistical signal and image processing, multi-resolution signal analysis, blind signal processing, statistical modeling, detection and estimation.

    Raúl Chávez-Santiago (raul.chavez-santiago@rr-research.no) graduated as an Electronics and Telecommunications Engineer at the National Polytechnic Institute, Mexico, in 1997. In 2001 he obtained a M.Sc. degree in Electrical Engineering at CINVESTAV, Mexico. He received the Ph.D. degree in Electrical and Computer Engineering from Ben-Gurion University of the Negev, Israel, in 2007. Thereafter he held a postdoctoral position at the University Paris-Sud XI, France, where he investigated radio resource management for OFDMA systems. He later held a second postdoctoral position at Bar-Ilan University, Israel. There, he researched the information theory aspects of ad hoc and cognitive radio networking. He joined the Intervention Centre, Oslo University Hospital, Norway, in 2009, where he currently investigates short - range radio communication technologies for body area network (BAN) solutions. His research is focused on implant communications and ultra wideband (UWB) technology. He is a Management Committee member in various European COST Actions.

    P?l Anders Floor (andflo@rr-research.no) received his B.Sc. degree from Gj?vik University College (HIG), Norway in 2001, his M.Sc degree in 2003 and his PhD, degree in 2008, both from the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. All three degrees are in electrical engineering. He was working as a Post. Doc. at the Intervention Centre at Oslo University Hospital and at the Institute of Clinical Medicine at University of Oslo from 2008 to 2013. He is currently a Post. Doc at NTNU. His research interests include joint source-channel coding, information theory and signal processing applied on point-to-point links, in small and large networks, as well as in Neuroscience, and lightweight cryptography solutions for medical BAN.

    Ilangko Balasingham (ilangkob@medisin.uio.no) received the M.Sc. and Ph.D. degrees from the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway in 1993 and 1998, respectively, both in signal processing. He performed his Master’s degree thesis at the Department of Electrical and Computer Engineering, University of California Santa Barbara, USA. From 1998 to 2002, he worked as a Research Scientist at Fast Search & Transfer ASA, Oslo, Norway, which is now part of Microsoft Inc. Since 2002 he has been with the Intervention Center, Oslo University Hospital, Oslo, Norway, where he heads the Wireless Sensor Network Research Group. He was appointed as a Professor in Signal Processing in Medical Applications at NTNU in 2006. His research interests include wireless body sensor networks, microwave sensing and imaging, short range localization and tracking, and nano-neural communication networks. He has authored or co-authored 168 papers and has been active in organizing special sessions, workshops, and conferences.

    Tor A. Ramstad (ramstad@iet.ntnu.no) is Professor Emeritus at the Norwegian University of Science and Technology (NTNU formerly NTH), Norway. He got his MSc PhD degrees from NTH in 1968 and 1972, where he was assistant and associate professor until he became a full professor of Communication Theory in 1983, and retired in 2012. He has been a visiting professor at UCSB, Georgia Tech, and Eurecom, France. He was Associate Editor of IEEE Acoustics, Speech and Signal Processing, and chair of the IEEE Signal Processing Workshop in 1996. He is a member of the Norwegian Academy of Technological Sciences, and was awarded the Honorary Price from the Norwegian Signal Processing Society. Professor Ramstad has had a leading role in establishing and developing the field of digital signal processing in Norway. His main interests include efficient digital filtering methods and implementations, signal compression of speech, images and video, signal interpolation for sample rate conversion, and joint source-channel coding.
  • 基金资助:
    The research work was performed, in part, of the research project Medical sensing, localization and communications using ultra wideband technology (MELODY) contract no. 285885, and Adaptive Security for Smart Internet of Things in eHealth (ASSET) contract no. 213131, which both are funded by the Research Council of Norway.

Sensing, Signal Processing, and Communication for WBANs

Seyyed Hamed Fouladi1, Raúl Chávez-Santiago1,2,3, Pål Ander Floor1,2,3, Ilangko Balasingham1,2,3, and Tor A. Ramstad1   

  1. 1. Department of Electronics and Telecommunications, Norwegian University of Science and Technology, Trondheim, Norway;
    2. The Intervention Center, Oslo University Hospital, Norway;
    3. Institute of Clinical Medicine, University of Oslo, Norway
  • Received:2014-04-04 Online:2014-09-25 Published:2014-09-25
  • About author:Seyyed Hamed Fouladi (hamed.fouladi@iet.ntnu.no) received his B.S. degree in electrical engineering at the Department of Electrical Engineering, Shahed University, Tehran, Iran in 2009 and M.Sc degree in Communication Systems at the Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran, in 2012. He is currently a PhD student at Norwegian University of Science and Technology (NTNU), Trondheim, Norway. His research interests include statistical signal and image processing, multi-resolution signal analysis, blind signal processing, statistical modeling, detection and estimation.

    Raúl Chávez-Santiago (raul.chavez-santiago@rr-research.no) graduated as an Electronics and Telecommunications Engineer at the National Polytechnic Institute, Mexico, in 1997. In 2001 he obtained a M.Sc. degree in Electrical Engineering at CINVESTAV, Mexico. He received the Ph.D. degree in Electrical and Computer Engineering from Ben-Gurion University of the Negev, Israel, in 2007. Thereafter he held a postdoctoral position at the University Paris-Sud XI, France, where he investigated radio resource management for OFDMA systems. He later held a second postdoctoral position at Bar-Ilan University, Israel. There, he researched the information theory aspects of ad hoc and cognitive radio networking. He joined the Intervention Centre, Oslo University Hospital, Norway, in 2009, where he currently investigates short - range radio communication technologies for body area network (BAN) solutions. His research is focused on implant communications and ultra wideband (UWB) technology. He is a Management Committee member in various European COST Actions.

    P?l Anders Floor (andflo@rr-research.no) received his B.Sc. degree from Gj?vik University College (HIG), Norway in 2001, his M.Sc degree in 2003 and his PhD, degree in 2008, both from the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. All three degrees are in electrical engineering. He was working as a Post. Doc. at the Intervention Centre at Oslo University Hospital and at the Institute of Clinical Medicine at University of Oslo from 2008 to 2013. He is currently a Post. Doc at NTNU. His research interests include joint source-channel coding, information theory and signal processing applied on point-to-point links, in small and large networks, as well as in Neuroscience, and lightweight cryptography solutions for medical BAN.

    Ilangko Balasingham (ilangkob@medisin.uio.no) received the M.Sc. and Ph.D. degrees from the Department of Electronics and Telecommunications, Norwegian University of Science and Technology (NTNU), Trondheim, Norway in 1993 and 1998, respectively, both in signal processing. He performed his Master’s degree thesis at the Department of Electrical and Computer Engineering, University of California Santa Barbara, USA. From 1998 to 2002, he worked as a Research Scientist at Fast Search & Transfer ASA, Oslo, Norway, which is now part of Microsoft Inc. Since 2002 he has been with the Intervention Center, Oslo University Hospital, Oslo, Norway, where he heads the Wireless Sensor Network Research Group. He was appointed as a Professor in Signal Processing in Medical Applications at NTNU in 2006. His research interests include wireless body sensor networks, microwave sensing and imaging, short range localization and tracking, and nano-neural communication networks. He has authored or co-authored 168 papers and has been active in organizing special sessions, workshops, and conferences.

    Tor A. Ramstad (ramstad@iet.ntnu.no) is Professor Emeritus at the Norwegian University of Science and Technology (NTNU formerly NTH), Norway. He got his MSc PhD degrees from NTH in 1968 and 1972, where he was assistant and associate professor until he became a full professor of Communication Theory in 1983, and retired in 2012. He has been a visiting professor at UCSB, Georgia Tech, and Eurecom, France. He was Associate Editor of IEEE Acoustics, Speech and Signal Processing, and chair of the IEEE Signal Processing Workshop in 1996. He is a member of the Norwegian Academy of Technological Sciences, and was awarded the Honorary Price from the Norwegian Signal Processing Society. Professor Ramstad has had a leading role in establishing and developing the field of digital signal processing in Norway. His main interests include efficient digital filtering methods and implementations, signal compression of speech, images and video, signal interpolation for sample rate conversion, and joint source-channel coding.
  • Supported by:
    The research work was performed, in part, of the research project Medical sensing, localization and communications using ultra wideband technology (MELODY) contract no. 285885, and Adaptive Security for Smart Internet of Things in eHealth (ASSET) contract no. 213131, which both are funded by the Research Council of Norway.

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摘要： A wireless body area network (WBAN) enables real-time monitoring of physiological signals and helps with the early detection of life-threatening diseases. WBAN nodes can be located on, inside, or in close proximity to the body in order to detect vital signals. Measurements from sensors are processed and transmitted over wireless channels. Issues in sensing, signal processing, and communication have to be addressed before WBAN can be implemented. In this paper, we survey recent advances in research on signal processing for the sensor measurements, and we describe aspects of communication based on IEEE 802.15.6. We also discuss state-of-the-art WBAN channel modeling in all the frequencies specified by IEEE 802.15.6 as well as the need for new channel models for new different frequencies.

关键词: wireless body area network, IEEE 802.15.6, signal processing, security, channel modeling

Abstract: A wireless body area network (WBAN) enables real-time monitoring of physiological signals and helps with the early detection of life-threatening diseases. WBAN nodes can be located on, inside, or in close proximity to the body in order to detect vital signals. Measurements from sensors are processed and transmitted over wireless channels. Issues in sensing, signal processing, and communication have to be addressed before WBAN can be implemented. In this paper, we survey recent advances in research on signal processing for the sensor measurements, and we describe aspects of communication based on IEEE 802.15.6. We also discuss state-of-the-art WBAN channel modeling in all the frequencies specified by IEEE 802.15.6 as well as the need for new channel models for new different frequencies.

Key words: wireless body area network, IEEE 802.15.6, signal processing, security, channel modeling