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Channel Loss in Contactless Human Body Communication

Authors: Jingna Mao; Huazhong Yang; Yong Lian 0001; Bo Zhao 0003;

Channel Loss in Contactless Human Body Communication

Abstract

Human body communication (HBC) utilizes human body as the transmission medium to facilitate data communications in a wireless body area network (WBAN). It normally uses a pair of transmitting (Tx) and receiving (Rx) electrodes clinging to the body surface to form a low-loss body channel, so a higher energy efficiency can be achieved in comparison to conventional wireless communications. In HBC, the Tx electrode can be shared with vital sign monitoring electrode, such as ECG electrode or EEG electrode, to inject the signal into body. As for the Rx electrode, it can be either in direct contact to body surface or placed in proximity to body surface. The late case forms a contactless HBC communication, which find more applications in the WBAN, e.g. a smart phone in one's pocket to receive ECG signal from the chest electrode. In view of the adverse effect caused by the contactless case, this paper presents a study on the path loss of contactless HBC, which are investigated by finite element method (FEM) and verified by actual measurements. An empirical formula for path loss and contactless space is derived, showing that the path loss is increased by 18 dB when the distance between electrode and body increases from 1 mm to 10 mm. It also shows a 5 dB reduction on path loss with a 50% increase of the electrode size.

Related Organizations
Keywords

Human Body, Communication, Humans, Electrodes, Wireless Technology

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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!
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Average
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