Evidence map›Paper›PMID 42249013›Full record

ArticleCommunications engineering2026

Batteryless wireless tilt sensor with self-calibration capability for structural health monitoring.

Ali-Reza Moznebi, Hamidreza Laribi, Kambiz Moez, Rashid Mirzavand

Abstract read
In one paragraph

Article in Communications engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ali-Reza MoznebiDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. moznebi@ualberta.ca.ORCID http://orcid.org/0000-0003-4410-3311
Hamidreza LaribiDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0009-0001-3753-8723
Kambiz MoezDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0003-4759-3272
Rashid MirzavandDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.ORCID http://orcid.org/0000-0001-8736-3418

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging infrastructures require constant monitoring to prevent major disasters. Accurate tilt detection is vital in determining the instability of bridges and foundations; however, existing systems depend on batteries, cables, and periodic calibration. We present a battery-free wireless tilt sensor based on a dual-band microwave structure that allows self-calibration against varying environmental effects and distance ambiguity. The sensor uses harvested energy from signals transmitted by a reader and integrates sensing, communication, and antenna functionalities into one device. The measurement results show that tracking the phase difference between two bands mitigates environmental factors. A 36° phase shift over a tilt range of -10° to +10° is observed, corresponding to a sensitivity of 1.8° of measured phase per 1° of actual tilt. The system is fully integrated, IoT-ready, and facilitates easy integration into a sensor network. It also creates a reliable platform for monitoring critical infrastructures in real-time to ensure rapid measurement of tilts from multiple sensors.

Identifiers

PMID42249013
PMCPMC13558597

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.