2017
DOI: 10.1109/lawp.2017.2745461
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Investigation of Creeping Wave Propagation Around the Human Head at ISM Frequencies

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Cited by 18 publications
(5 citation statements)
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“…The hand performs better in NLOS because the space of 20 cm from the chest as illustrated in Fig. 6d allows the wave to reach the TAG easily through creeping wave propagation [32].…”
Section: B Ranging Along a Straight Pathmentioning
confidence: 99%
“…The hand performs better in NLOS because the space of 20 cm from the chest as illustrated in Fig. 6d allows the wave to reach the TAG easily through creeping wave propagation [32].…”
Section: B Ranging Along a Straight Pathmentioning
confidence: 99%
“…Mobile computing platforms [41] have improved the user experience and usability of binaural hearing aid systems. In most cases, the hearing aids in each ear communicate through a 2.45 GHz wireless communication (2.45 GHz WC) system [42][43][44]. However, as the communication signals are 2.45 GHz electromagnetic waves, they are significantly absorbed by the biological tissues of the head [45].…”
Section: Proposed Hbc Systemmentioning
confidence: 99%
“…For this model, the human torso was modelled as a homogeneous cylinder of radius 15 cm and height 40 cm filled with tissue properties equivalent to muscle [15]. Previous studies have shown that a homogeneous cylinder model filled with muscle or 2/3 muscle can be a good representation of a real human torso for OB2OB propagation research [3,4,6].…”
Section: Ob2ob Wave Propagation and Antenna Excitationmentioning
confidence: 99%
“…Two dominant on-body channel propagation mechanisms have been identified: ground waves for the line-ofsight (LOS) propagation and creeping waves for the non-LOS (NLOS) propagation [1]. The creeping wave propagation experiences exponential decay and its propagation characteristics have been studied using full-wave simulations [2], theoretical formulation [3], and in-situ experimental trials [4]. Ryckaert et al [2] first reported the creeping wave mechanism by collecting electric field distributions around a human phantom model using a finite-difference time-domain (FDTD) simulation approach.…”
Section: Introductionmentioning
confidence: 99%