Dataset on the human body as a signal propagation medium for body coupled communication.

ABSTRACT: Signal loss models are frequently utilized by wireless communication researchers and engineers to predict received signal strength, optimize system parameters, and conduct feasibility studies. However, novel communication methods such as Body-Coupled Communication (BCC) that are suitable for Body Area Networks formed by wearable devices currently lack readily available signal propagation models. In this data article, we present a galvanic-coupled BCC signal loss and bioimpedance dataset, which serves as a foundation for building such models. This extensive dataset consists of experimental data recorded from 30 volunteer test subjects. The experimental setup involves a tunable signal generator transmitting continuous wave signals, along with two oscilloscopes recording the transmitter-side

SUBMITTER: Ormanis J 

PROVIDER: S-EPMC10716770 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature