Electromyography Data Transmission via Galvanic Coupling Intra-body Communication Link

Vizziello, Anna; Savazzi, Pietro; Magenes, Giovanni

doi:10.36227/techrxiv.14527407.v1

Cited by 2 publications

(2 citation statements)

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“…3). The source code of the transceiver [32] is available online on Code Ocean for sake of replicability [33]. Hardware requirements are moderate, limited to two PCs with sound cards used to generate/transmit and receive the signal in a subset of the GC frequency range [32].…”

Section: System Overview and Experimental Methodsmentioning

confidence: 99%

Experimental Channel Characterization of Human Body Communication Based on Measured Impulse Response

Vizziello¹,

Savazzi²,

Dell’Acqua³

2023

Preprint

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<p>The emerging research area of intra-body communication (IBC) will foster personalized medicine by enabling interconnection of implanted devices that ensure pervasive patient monitoring and characterization. Communication takes place through energy-efficient technologies such as the capacitive coupling (CC) and galvanic coupling (GC) techniques, which enable body-area communication without wiring; however, the relative novelty of such communication methods means their modeling is still incomplete. This paper focuses on channel characterization of the human body, directly comparing for the first time CC and GC techniques in both wearable and implantable configuration. Experimental data are considered to evaluate the measured impulse response in both ex-vivo chicken tissue and in-vivo human tissue in a frequency range up to 100 kHz. Pseudorandom noise (PN) sequences are transmitted in baseband and a correlative channel sounding system is implemented to evaluate the channel impulse and frequency response through real measurements. Experimental results demonstrate that the channel is relatively flat in the frequency range of interest, which simplifies the design of a transceiver suitable for intra-body networks (IBNs).</p>

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Section: System Overview and Experimental Methodsmentioning

confidence: 99%