Data driven channel characterization of human body communication

Vizziello, Anna; Savazzi, Pietro; Dell’Acqua, Fabio

doi:10.1145/3558583.3558869

Cited by 5 publications

(17 citation statements)

References 6 publications

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“…In order to experimentally measure the channel impulse responses, PN sequences were transmitted in baseband. A linear polynomial PN sequence of degree 𝑚 = 14 was implemented using a linearfeedback shift register with a chip duration of 5.2 𝜇𝑠 (corresponding to 96 kHz bandwidth) as in [20]. These parameters were set according to the frequency range employed in the test system, up to around 100 KHz.…”

Section: System Overview and Experimental Methodsmentioning

confidence: 99%

“…The testbed [32] was modified to implement a correlative channel sounding, only explored to a limited extent in our previous work [20] (Fig. 3).…”

Section: System Overview and Experimental Methodsmentioning

confidence: 99%

“…Impulse-response-based methods have a potential to fill this gap, but limited effort has been spent so far on characterizing IBC channels. Studies were conducted on CC in wearable configuration [16]- [19] and others on GC [15], [20]. However, a comparative investigation of both CC and GC technologies based on impulse response channel method, under both wearable and implantable configurations, has not been conducted yet, to the best of the authors' knowledge.…”

Section: A Research Motivationmentioning

confidence: 99%

“…• a first attempt is made to characterize the human-body channel using a correlative channel sounding method based on experimental measurements, conducted on both ex-vivo and in-vivo tissues. • for the first time the frequencies up to 100 KHz are investigated, which were only preliminarly evaluated in our previous work [20]. The analysis of this frequency range is essential to develop baseband UWB transceiver, whose simplicity is suitable for IBNs.…”

Section: B Main Contributionsmentioning

confidence: 99%

“…Using maximal-length PN sequences as the transmitted signal leads to an auto-correlation function characterized by a high correlation peak and extremely low side lobes (high peak-to-off-peak ratio). This feature allows any multi-path component to be detected at the receiver when correlating the channel output with the originally transmitted PN sequence by means of a convolution matched filter [20]. Fig.…”

Section: B Correlative Channel Soundersmentioning

confidence: 99%

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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%

“…The testbed [32] was modified to implement a correlative channel sounding, only explored to a limited extent in our previous work [20] (Fig. 3).…”

Section: System Overview and Experimental Methodsmentioning

confidence: 99%

Section: A Research Motivationmentioning

confidence: 99%

Section: B Main Contributionsmentioning

confidence: 99%

Section: B Correlative Channel Soundersmentioning

confidence: 99%

See 3 more Smart Citations

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

Vizziello¹,

Savazzi²,

Dell’Acqua³

2023

Preprint

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A Robust Data Communication Model to Transmit Data through Human Body using Intelligent Wearable Sensors

Sethukarasi,

Sugumaran

2023

2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

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An Energy-Efficient Carrier Synchronization Method for Galvanic Coupling Intra-Body Communication

Kulsoom,

Nazeer Chaudhry,

Savazzi

et al. 2024

IEEE J. Select. Areas Commun.

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Intra-body communication will facilitate nextgeneration personalized medicine by enabling interconnection among implanted devices. To this purpose, energy-efficient communication technologies are required such as galvanic coupling (GC). Although some GC testbeds have been developed to implement the entire communication chain, synchronization problems have not yet been tackled exhaustively. While some papers simply assume a-priori perfect synchronization between GC transmitter and receiver, other studies developed solutions that often are timeconsuming. In this paper, an energy-efficient and fast maximumlog-likelihood (ML) synchronization method is proposed, that can operate in real time and follow channel variations. Experiments reveal that the proposed ML synchronization scheme is very effective for short-range GC communication up to 4 cm, with performance similar to the current State-of-the-Art. It shows slightly lower performance levels for higher distances, still it offers the benefit of lower computational requirements than the reference method.

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Data driven channel characterization of human body communication

Cited by 5 publications

References 6 publications

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

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

A Robust Data Communication Model to Transmit Data through Human Body using Intelligent Wearable Sensors

An Energy-Efficient Carrier Synchronization Method for Galvanic Coupling Intra-Body Communication

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