Literature DB >> 25838532

Experimental Path Loss Models for In-Body Communications Within 2.36-2.5 GHz.

Raúl Chávez-Santiago, Concepcion Garcia-Pardo, Alejandro Fornes-Leal, Ana Vallés-Lluch, Günter Vermeeren, Wout Joseph, Ilangko Balasingham, Narcís Cardona.   

Abstract

Biomedical implantable sensors transmitting a variety of physiological signals have been proven very useful in the management of chronic diseases. Currently, the vast majority of these in-body wireless sensors communicate in frequencies below 1 GHz. Although the radio propagation losses through biological tissues may be lower in such frequencies, e.g., the medical implant communication services band of 402 to 405 MHz, the maximal channel bandwidths allowed therein constrain the implantable devices to low data rate transmissions. Novel and more sophisticated wireless in-body sensors and actuators may require higher data rate communication interfaces. Therefore, the radio spectrum above 1 GHz for the use of wearable medical sensing applications should be considered for in-body applications too. Wider channel bandwidths and smaller antenna sizes may be obtained in frequency bands above 1 GHz at the expense of larger propagation losses. Therefore, in this paper, we present a phantom-based radio propagation study for the frequency bands of 2360 to 2400 MHz, which has been set aside for wearable body area network nodes, and the industrial, scientific, medical band of 2400 to 2483.5 MHz. Three different channel scenarios were considered for the propagation measurements: in-body to in-body, in-body to on-body, and in-body to off-body. We provide for the first time path loss formulas for all these cases.

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Year:  2015        PMID: 25838532     DOI: 10.1109/JBHI.2015.2418757

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  3 in total

1.  Path loss variation of on-body UWB channel in the frequency bands of IEEE 802.15.6 standard.

Authors:  Dayananda Goswami; Kanak C Sarma; Anil Mahanta
Journal:  Healthc Technol Lett       Date:  2016-06-13

2.  Characterization of the Fat Channel for Intra-Body Communication at R-Band Frequencies.

Authors:  Noor Badariah Asan; Emadeldeen Hassan; Jacob Velander Syaiful Redzwan Mohd Shah; Daniel Noreland; Taco J Blokhuis; Eddie Wadbro; Martin Berggren; Thiemo Voigt; Robin Augustine
Journal:  Sensors (Basel)       Date:  2018-08-21       Impact factor: 3.576

3.  Green Communication for Wireless Body Area Networks: Energy Aware Link Efficient Routing Approach.

Authors:  Muhammad Anwar; Abdul Hanan Abdullah; Ayman Altameem; Kashif Naseer Qureshi; Farhan Masud; Muhammad Faheem; Yue Cao; Rupak Kharel
Journal:  Sensors (Basel)       Date:  2018-09-26       Impact factor: 3.576

  3 in total

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