Evidence map›Paper›PMID 36337340›Full record

ArticleIEEE transactions on microwave theory and techniques2020

A UHF/UWB Hybrid RFID Tag With a 51-m Energy-Harvesting Sensitivity for Remote Vital-Sign Monitoring.

Hongming Lyu, Zeyu Wang, Aydin Babakhani

Abstract read
In one paragraph

Article in IEEE transactions on microwave theory and techniques, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hongming LyuDepartment of Electrical and Computer Engineering, University of California Los Angeles, CA 90095 USA.
Zeyu WangDepartment of Electrical and Computer Engineering, University of California Los Angeles, CA 90095 USA.
Aydin BabakhaniDepartment of Electrical and Computer Engineering, University of California Los Angeles, CA 90095 USA.

Funding

Leadless wirelessly powered pacemaker for multi chamber pacing using miniaturized pacing and sensing nodeR01HL144683 · NHLBI · TEXAS HEART INSTITUTE · PI BABAKHANI, AYDIN, RAZAVI, MEHDI · 2019 to 2022
$2.4M
NHLBI NIH HHS R01 HL144683
6 · The paper itself

Abstract

A novel ultra-high frequency (UHF)/ultra-wideband (UWB) hybrid RFID tag is reported for object-specific remote vital-sign monitoring application. The tag achieves a record energy-harvesting sensitivity at UHF band by codesigning a meander dipole antenna and a passive rectifier. The especially high quality-factor makes the frontend sensitive to near-field motions such as heartbeats and respiration in a wearable setting. The custom CMOS IC of approximately 1-μW power consumption builds around a low-power UWB transmitter and converts variations of the supply voltage to the impulse repetition rate. The tag consisting of the IC and UHF/UWB antennas requires no other discrete components and features a size of 4.2 cm × 2.9 cm and a weight of 0.93 g. A long-distance experiment verifies that the tag can be wirelessly powered up at 51 meters from a 4-W equivalent-isotropic-radiation-power (EIRP) UHF transmitter. Remote vital-sign monitoring is validated on a human subject, in which the UHF power source is placed 2 meters away from the subject with a power emission of less than 20 dBm. This work proposes a first-of-its-kind remote vital-sign monitoring scheme based on a noncontact wearable tag. The design of the far-field energy-harvesting frontend with a record sensitivity serves as a reference for future works on battery-free remote sensors.

Indexed as

antenna-and-rectifier codesignenergy-harvestingfar-field power transferIoT sensorIR-UWBRFIDUHFvital-signal monitoringwearable device

Identifiers

PMID36337340
PMCPMC9632603

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.