Applicability of HF-Band Phantom for Evaluating Dual-Mode Wearable Patch Antenna

This study explores the validity of using an HF-band phantom to evaluate a dual-mode wearable patch antenna designed for 21 MHz human body communication (HBC) and 2.4 GHz narrowband wireless communication (NBWC). The proposed antenna integrates HBC and NBWC modes for on-body and off-body communications. Due to safety and reproducibility concerns, a multilayered phantom was developed to mimic the electrical properties of human tissues at 21 MHz. Through electromagnetic field simulations, we demonstrate that the phantom also offers sufficient accuracy for evaluating the antenna’s performance at 2.4 GHz, validating its utility for dual-mode evaluations.

Authors

Institutions

Publication Details

Published
2024-12-21
DOI
https://doi.org/10.1109/apace62360.2024.10877380
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Applicability of HF-Band Phantom for Evaluating Dual-Mode Wearable Patch Antenna

Dairoku Muramatsu, Yukino Sasaki
Wireless Body Area Networks
article

Applicability of HF-Band Phantom for Evaluating Dual-Mode Wearable Patch Antenna

Dairoku Muramatsu, Yukino Sasaki
article en

Abstract

This study explores the validity of using an HF-band phantom to evaluate a dual-mode wearable patch antenna designed for 21 MHz human body communication (HBC) and 2.4 GHz narrowband wireless communication (NBWC). The proposed antenna integrates HBC and NBWC modes for on-body and off-body communications. Due to safety and reproducibility concerns, a multilayered phantom was developed to mimic the electrical properties of human tissues at 21 MHz. Through electromagnetic field simulations, we demonstrate that the phantom also offers sufficient accuracy for evaluating the antenna’s performance at 2.4 GHz, validating its utility for dual-mode evaluations.

University of Electro-Communications (JP)
Affordable and clean energy
Openalex Percentile: Top 76%
Wireless Body Area Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.