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http://arxiv.org/pdf/1902.0819...
Part of book or chapter of book
Data sources: UnpayWall
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https://doi.org/10.1049/pbte06...
Part of book or chapter of book . 2016 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
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In vivo wireless channel modeling

Authors: Demir, Ali Fatih; Ankaralı, Zekeriyya Esat; Liu, Yang; Abbasi, Qammer Hussain; Qaraqe, Khalid; Serpedin, Erchin; Arslan, Hüseyin; +1 Authors

In vivo wireless channel modeling

Abstract

In this chapter, the state of the art of in vivo wireless channel characterization has been presented. Various studies described in the literature are dedicated to the in vivo communication channel, and they consider different parameters in studying various anatomical regions. Furthermore, the location-dependent characteristics of in vivo wireless communication at 915 MHz are analyzed in detail via numerical and experimental investigations. A complete model for the in vivo channel is not available and remains an open research problem. However, considering the expected future growth of implanted technologies and their potential use for the detection and diagnosis of various health-related issues in the human body, the channel modeling studies should be further extended to develop better and more efficient communications systems for future in vivo systems.

25 pages, 17 figures, 7 tables, URL of the final version: https://digital-library.theiet.org/content/books/10.1049/pbte065e_ch7 . arXiv admin note: substantial text overlap with arXiv:1902.06860

Country
Turkey
Keywords

Signal Processing (eess.SP), Wireless, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, Channel

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green