An empirical comparison of limb joint effects on capacitive and galvanic coupled intra-body communications

MirHojjat Seyedi, Behailu Kibret, Daniel T. H. Lai, Micheal Faulkner

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9 Citations (Scopus)


Intra-body communication (IBC) is a recent wireless communication technology which uses the human body as the signal propagation medium. While recent studies have shown a degradation of transmission signals for IBC transmissions between limb segments, these degradations have yet to be quantified with respect to relative limb positions. In this paper we report in vivo experiments towards understanding signal attenuation in both capacitive and galvanic coupled IBC methods due to limb joint effects. We examine the impact of elbow joint flexion and extension on signal transmission. Results show that in both IBC methods, the signal attenuation is larger when the angle between forearm and upper arm increases. The maximum attenuation difference was 4.2 dB and 4.7 dB in the capacitive coupling and galvanic coupling methods respectively when the joint angle changed from 45 to 180 degrees and the linear distance between transmitter and receiver electrodes was 15 cm. Capacitive coupling was more sensitive to limb joint position, but galvanic coupling was more dependent on body composition (intra subject variability).
Original languageEnglish
Title of host publicationProceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Subtitle of host publicationSensing the Future, ISSNIP 2013
EditorsMarimuthu Palaniswami, Christopher Leckie, Salil Kanhere, Jayavardhana Gubbi
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages213 - 218
Number of pages6
ISBN (Electronic)9781467355001
Publication statusPublished - Apr 2013
Externally publishedYes
EventInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2013 - University of Melbourne, Melbourne, Australia
Duration: 2 Apr 20135 Apr 2013
Conference number: 8th (IEEE Conference Proceedings)


ConferenceInternational Conference on Intelligent Sensors, Sensor Networks and Information Processing 2013
Abbreviated titleISSNIP 2013
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