Bio-Medical Sensing using Ultra Wideband Communications and Radar Technology: A Feasibility Study

The aim of this work is to study the application of ultra wideband (UWB) technology to perform biomedical sensing and vital signs monitoring in humans. Among the numerous signals that can be measured, the heart rate (HR) is chosen as the first objective due to its importance. The research is pointed towards the development of a technique that can allow both, radar sensing and communications using the same UWB transceiver. Such a sensor, could use UWB radar principles to measure the heart beat rate and UWB communication standards to transmit these measurements. Readily available commercial transceivers with minor adaptations will be considered as possible to solve for the physical layer. Signal processing for target detection will be done at higher levels. Having sensors with such "duo" properties can make them ideal nodes for wearable computing, as well as sensor and body area networks

[1]  A. Stelzer,et al.  Non-invasive respiratory movement detection and monitoring of hidden humans using ultra wideband pulse radar , 2004, 2004 International Workshop on Ultra Wideband Systems Joint with Conference on Ultra Wideband Systems and Technologies. Joint UWBST & IWUWBS 2004 (IEEE Cat. No.04EX812).

[2]  Thomas E. McEwan,et al.  Micropower impulse radar , 1997 .

[3]  Jakob E. Bardram,et al.  Guest Editorial Introduction to the Special Section on Pervasive Healthcare , 2004, IEEE Trans. Inf. Technol. Biomed..

[4]  Emil Jovanov,et al.  Stress monitoring using a distributed wireless intelligent sensor system. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[5]  C. Hoffman,et al.  Persons with chronic conditions. Their prevalence and costs. , 1996, JAMA.

[6]  Ilkka Korhonen,et al.  Health monitoring in the home of the future. , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[7]  O. Boric-Lubecke,et al.  A compact low-cost add-on module for Doppler radar sensing of vital signs using a wireless communications terminal , 2002, 2002 IEEE MTT-S International Microwave Symposium Digest (Cat. No.02CH37278).

[8]  Guerino Giancola,et al.  Understanding Ultra Wide Band Radio Fundamentals , 2004 .

[9]  Kiyoshi Mizui,et al.  Vehicle-to-vehicle communication and ranging system using spread spectrum technique (Proposal of Boomerang Transmission System) , 1993, IEEE 43rd Vehicular Technology Conference.

[10]  H E Stanley,et al.  Scale-independent measures and pathologic cardiac dynamics. , 1998, Physical review letters.

[11]  Florian Michahelles,et al.  Less contact: heart-rate detection without even touching the user , 2004, Eighth International Symposium on Wearable Computers.

[12]  E. Jovanov,et al.  Prolonged telemetric monitoring of heart rate variability using wireless intelligent sensors and a mobile gateway , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[13]  Yoshiharu Yamamoto,et al.  Recent Advances in Heart Rate Variability Signal Processing and Interpretation , 2006, IEEE Trans. Biomed. Eng..

[14]  P. Binkley Predicting the potential of wearable technology , 2003 .

[15]  林 光一 「International Workshop on Detonation / Detonation Engine」を開催して , 2008 .

[16]  Georgios B. Giannakis,et al.  Ultra-wideband communications: an idea whose time has come , 2004, IEEE Signal Processing Magazine.

[17]  R. Cager,et al.  Orbiter Ku-Band Integrated Radar and Communications Subsystem , 1978, IEEE Trans. Commun..

[18]  Masatoshi Uchida,et al.  A vehicle-to-vehicle communication and ranging system based on spread spectrum technique-SS communication radar , 1994, Proceedings of VNIS'94 - 1994 Vehicle Navigation and Information Systems Conference.

[19]  M. Hilton,et al.  Evaluation of frequency and time-frequency spectral analysis of heart rate variability as a diagnostic marker of the sleep apnoea syndrome , 1999, Medical & Biological Engineering & Computing.

[20]  Upkar Varshney,et al.  Pervasive Healthcare , 2003, Computer.

[21]  J. Holzrichter,et al.  Speech articulator measurements using low power EM-wave sensors. , 1998, The Journal of the Acoustical Society of America.

[22]  R M Morey,et al.  Response to FCC 98-208 notice of inquiry in the matter of revision of part 15 of the commission's rules regarding ultra-wideband transmission systems , 1998 .

[23]  I.Y. Immoreev,et al.  Short-distance ultra wideband radars , 2005, IEEE Aerospace and Electronic Systems Magazine.

[24]  G Tröster,et al.  The Agenda of Wearable Healthcare , 2005, Yearbook of Medical Informatics.

[25]  E. M. Staderini,et al.  UWB radars in medicine , 2002 .

[26]  C. Fowler,et al.  Assessment of ultra-wideband (UWB) technology , 1990, IEEE Aerospace and Electronic Systems Magazine.

[27]  J. Clausen,et al.  Respiration movement in normal, neurotic and psychotic subjects. , 1951, Acta psychiatrica et neurologica. Supplementum.

[28]  Georgios B. Giannakis,et al.  Ultra-wideband communications: an idea whose time has come , 2004 .

[29]  Byron Edde Radar: Principles, Technology, Applications , 1992 .

[30]  M. Wagner,et al.  Automotive radar sensor with communication capability , 2004, 7th European Conference on Wireless Technology, 2004..

[31]  E.R. Brown,et al.  Integrated radar and communications based on chirped spread-spectrum techniques , 2003, IEEE MTT-S International Microwave Symposium Digest, 2003.

[32]  N. Frijda,et al.  Emotions and respiratory patterns: review and critical analysis. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.